Myriam Maumy-Bertrand

Myriam Maumy-Bertrand

Membre associé
Équipe : Méthodes statistiques de data-mining et apprentissage
Site web :

2025

Articles de revue

  1. Partouche, N.; Maumy, M.; Chamaraux-Tran, T-N.; Bertrand, F.; Schneider, F.; Meyer, N.; Solis, M.; Fafi-Kremer, S.; Noll, E. and Pottecher, J. Does the IL-6/KL-6 ratio distinguish different phenotypes in COVID-19 Acute Respiratory Distress Syndrome? An observational study stemmed from prospectively derived clinical, biological, and computed tomographic data. In PLoS ONE, 20 (5): e0321533, 2025. doi  www 
  1. Grimaud, O.; Leray, E.; Bayat, S.; Fermanian, C.; Martin, S.; Maumy, M.; Philippe, J-M.; Maury, E.; Ricard-Hibon, A.; Tattevin, P.; Noizet, M.; Braun, F. c.; Dolz, M.; Sanchez, M-A.; Coignard-Biehler, H.; Prieto, N.; Delamare, H.; Cayré, V.; Carli, P.; Vuagnat, A.; Pottecher, J.; Berger, A.; Vuillaume, L. A.; Louis, G.; Beringuer, H.; Gette, S.; Caps, T.; Kuteifan, K.; Fuchs, C.; Nace, L.; Mourvillier, B.; Gennai, S.; Foalem, S.; Ciurel, C.; Brigante, C.; Popoff, L.; Arezki, F.; Weiss, A.; Meziani, F.; Schneider, F.; Mertes, P-M.; Lexa, P.; Fleury, B.; Gaertner, E.; Plantefeve, G.; Faure, H.; Decaudin, G. G.; Cohen, Y.; Adnet, F.; Zogheib, E.; Damoisel, C.; Boutonnet, M.; Weiss, E.; Ricard, J-D.; Capitani, G-A.; Baron, M.; Schortgen, F.; Dessap, A. M.; Lecarpentier, E.; Ochin, E.; Severin, A.; Loeb, T.; Heming, N.; Moine, P.; Annane, D.; Bertrand, F.; Durand, P.; Wildenberg, L.; Harrois, A.; Teboul, J-L.; Thyrault, M.; Nakaa, S.; Guilmin-Crepon, S.; Dauger, S.; Borel, M.; Langlois, M.; Gianinazzi, A-C.; Verdonk, F.; Megarbane, B.; Fartoukh, M.; Lamhaut, L.; Bruel, C.; Guérot, E.; Dinh, A. T.; Zappella, N.; Girard, T.; Montravers, P.; Dubost, J-L.; Grangeon, M.; Piton, G.; Pili-Floury, S.; Desmettre, T.; El Cadi, T.; Vivet, B.; Clavier, M.; Corege, D.; Cicala, J-F. c.; Pugliesi, P-S.; Denis, J-P.; Timsit, E.; Mirek, S.; Dyani, M.; Patrigeon, R-G.; Lecomte, B.; Federici, L.; Serpin, L.; Callige, P.; Dubost, C.; Richard, O.; Laurent, V.; Ichai, P.; Badie, J.; Sano, M.; Plaud, B.; Darmon, M.; Azoulay, E.; da Silva, D.; Lakhdari, M.; Boyer, A.; Van, D. T.; Foucault, C.; Mayet, T.; Levrat, Q.; Darreau, C.; Cordier, P-Y.; Paris, R.; Soury, M.; Garnier, M.; Lafforgue, P.; Grenot, R.; Thille, A.; Kergoat, P.; Goutorbe, P.; Bounes-Vardon, F.; Galy, A.; de Soyres, O.; Saghi, T.; Grand, H.; Muller, L.; Charbonneau, H.; Quesnel, K.; Pillot, J.; Beloncle, F. c-M.; Asfar, P.; Lasocki, S.; Schnell, D.; Renault, A.; Huet, O.; Cohen, C.; Costecalde, M.; Brunel, E.; Petua, P.; Destizons, A.; Pouplet, C.; Roquilly, A.; Reignier, J.; Souweine, B.; Bazin, J-E.; Brunet, J.; Michot, J-B.; Seemann, A.; Tamion, F.; Remerand, F.; Dequin, P-F. c.; Maamar, A.; Launey, Y.; Piechaud, P-T.; Frerou, A.; Schnell, G.; Fillatre, P.; Thill, C.; Grillet, G.; Egreteau, P-Y.; Auchabie, J.; Declercq, P-L.; Roze, B.; Fischer, M-O.; Dopeux, L.; Ravan, R.; Jarrige, L.; Faisy, C.; Sauneuf, B.; Pichon, N.; Prevost, F.; Delbove, A.; Jonas, M.; Carte, S. B.; Pradel, G.; Vieillard-Baron, A.; Boussen, S.; Gainnier, M.; Lehingue, S.; Herault, M-C.; Durand, M.; Deswardt, P.; Camarasa, P.; Ichai, C.; Alphonsine, J-E.; Marquer, B.; Willems, V.; Robert, A.; Bertrand, P-M.; Antier, N.; Finge, T.; Mouton, L.; Rastegar, T.; Graf, T.; Reuter, J.; Braun, C.; Watremez, S.; Spetzger, U.; Michel, A. and Bodenstein, M. Mass medical evacuations to decrease the intensive care burden: results from the TRANSCOV cohort study. In Chest, 2025. doi  www 
  1. Logosha, E.; Maumy-Bertrand, M. and Bertrand, F. Machine learning et logements collectifs : quand l'algorithme rencontre la transition énergétique. In Revue de l'Energie, 4 (679): 49-66, 2025. www 

Actes de colloque

  1. Logosha, E.; Maumy, M. and Bertrand, F. Sensitivity analysis of stochastic simulator in the case of sales date prediction. AIP, Sozopol, France, 2025. www 
  1. Logosha, E.; Maumy, M. and Bertrand, F. Confidence interval determination using discrete event simulations for real estate sales case. AIP, Sozopol, France, 2025. www 

2024

Articles de revue

  1. Piot, M.; Bertrand, F.; Guihard, S.; Clavier, J-B. and Maumy, M. Bayesian Network structure learning algorithm for highly missing and non imputable data: Application to breast cancer radiotherapy data. In Artificial Intelligence in Medicine, 147: 102743, 2024. doi  www 
  1. Claeys, E.; Maumy-Bertrand, M. and Ganc carski, P. Time Series Clustering for~Enhanced Dynamic Allocation in~A/B Testing. In Heliyon, 14949 (16): 351-367, 2024. doi  www 

Articles de conférence

  1. Logosha, E.; Maumy, M. and Bertrand, F. Using the MBPCA-OS method on French real estate data to detect the relations between price and Energy and Climate Performance labels. In Technological Systems, Sustainability and Safety, Paris, France, 2024. www 
  1. Bertrand, F.; Logosha, E. and Maumy-Bertrand, M. Sobol4RV: Global Sensitivity Analysis in Several Random Settings. In BioC 2024, Grand Rapids, MI, United States, 2024. www 
  1. Claeys, E.; Maumy-Bertrand, M. and Ganc carski, P. Time Series Clustering for Enhanced Dynamic Allocation in A/B Testing. In ECML PKDD 2024, Vilinus, Lithuania, 2024. www 
  1. Bertrand, F.; Logosha, E. and Maumy-Bertrand, M. Extension of sensitivity analysis to uncertainties in distribution parameters. In 32nd Conference on Intelligent Systems for Molecular Biology, Montreal (QC), Canada, 2024. www 
  1. Bertrand, F. and Maumy-Bertrand, M. An Improvement for Variable Selection in GAMLSS Models and Quantile Regression. In Joint Statistical Meetings 2024, Portland (OR), United States, 2024. www 
  1. Bertrand, F.; Logosha, E. and Maumy-Bertrand, M. Global Sensitivity Analysis in Several Random Settings. In 2024 Joint Statistical Meetings, Portland (OR), United States, 2024. www 

2023

Articles de conférence

  1. Bertrand, F. and Maumy-Bertrand, M. SelectBoost4Beta : Improving variable selection in beta regression models. In BioC2023 Annual Conference, Boston (Ma), United States, 2023. www 
  1. Bertrand, F. and Maumy-Bertrand, M. bigPLS : Fitting and Cross-validating PLS based Cox models to censored big data. In BioC2023 Annual Conference, Boston (MA), United States, 2023. www 
  1. Bertrand, F. and Maumy-Bertrand, M. Improving Variable Selection in Beta Regression Models using Correlated Resampling. In Joint Statistical Meetings 2023, Toronto (ON), Canada, 2023. www 
  1. Bertrand, F. and Maumy-Bertrand, M. PLS models and their extensions for big data. In Joint Statistical Meetings 2023, Toronto (ON), Canada, 2023. www 
  1. Logosha, E.; Maumy-Bertrand, M. and Bertrand, F. Sensitivity analysis of stochastic simulator in the case of sales date prediction. In AIP Conference Proceedings, pages 100001, AIP Publishing, Sofia, Bulgaria, 2023. doi  www 

2022

Articles de revue

  1. Cheviet, A.; Bonnefond, A.; Bertrand, F.; Maumy-Bertrand, M. and Doignon-Camus, N. How visual attention span and phonological skills contribute to N170 print tuning: An EEG study in French dyslexic students. In Brain and Language, 234: 105176, 2022. doi  www 
  1. Carapito, R.; Aouadi, I.; Verniquet, M.; Untrau, M.; Pichot, A.; Beaudrey, T.; Bassand, X.; Meyer, S.; Faucher, L.; Posson, J.; Morlon, A.; Kotova, I.; Delbos, F.; Walencik, A.; Aarnink, A.; Kennel, A.; Suberbielle, C.; Taupin, J-L.; Matern, B. M; Spierings, E.; Congy-Jolivet, N.; Essaydi, A.; Perrin, P.; Blancher, A.; Charron, D.; Cereb, N.; Maumy-Bertrand, M.; Bertrand, F.; Giral, M.; Garrigue, V.; Pernin, V.; Weekers, L.; Naesens, M.; Kamar, N.; Legendre, C.; Glotz, D.; Caillard, S.; Ladrière, M.; Anglicheau, D.; S"usal, C. and Bahram, S. The MHC class I MICA gene is a histocompatibility antigen in kidney transplantation. In Nature Medicine, 28 (5): 989-998, 2022. doi  www 

Livres

  1. Gégout-Petit, A.; Maumy-Bertrand, M.; Saporta, G. and Thomas-Agnan, C. Données manquantes. Editions Technip, 2022. www 

Chapitres d'ouvrage

  1. Gégout-Petit, A.; Maumy-Bertrand, M.; Saporta, G. and Thomas-Agnan, C. Une histoire lacunaire. In Données manquantes, pages 1-27, Editions Technip, 2022. www 

Logiciel

  1. Ferrigno, S.; Essaket, D.; Mouchot, A.; Breton, H. and Maumy-Bertrand, M. quantCurves:Estimate Quantiles Curves. www 

2021

Articles de revue

  1. Bertrand, F.; Aouadi, I.; Jung, N.; Carapito, R.; Vallat, L.; Bahram, S. and Maumy-Bertrand, M. selectBoost : a general algorithm to enhance the performance of variable selection methods. In Bioinformatics, 37 (5): 659-668, 2021. doi  www 
  1. Magnanensi, J.; Maumy-Bertrand, M.; Meyer, N. and Bertrand, F. New Developments in Sparse PLS Regression. In Frontiers in Applied Mathematics and Statistics, 7, 2021. doi  www 
  1. Bons, J.; Husson, G.; Chion, M.; Bonnet, M.; Maumy-Bertrand, M.; Delalande, F. c.; Cianférani, S.; Bertrand, F.; Picard, B. and Carapito, C. Combining label-free and label-based accurate quantifications with SWATH-MS: Comparison with SRM and PRM for the evaluation of bovine muscle type effects. In Proteomics, 21 (10): 2000214, 2021. doi  www 
  1. Schleiss, C.; Carapito, R.; Fornecker, L-M.; Muller, L.; Paul, N.; Tahar, O.; Pichot, A.; Tavian, M.; Nicolae, A.; Miguet, L.; Mauvieux, L.; Herbrecht, R.; Cianférani, S.; Freund, J-N.; Carapito, C.; Maumy-Bertrand, M.; Bahram, S.; Bertrand, F. and Vallat, L. Temporal multiomic modeling reveals a B-cell receptor proliferative program in chronic lymphocytic leukemia. In Leukemia, 35: 1463-1474, 2021. doi  www 
  1. Hamaoui, J.; Maumy-Bertrand, M. and Segond, H. Laterality and visuospatial strategies among young children: A novel 3D-2D transcription task. In Laterality: 1-35, 2021. doi  www 
  1. Bertrand, F. and Maumy-Bertrand, M. Fitting and Cross-Validating Cox Models to Censored Big Data With Missing Values Using Extensions of Partial Least Squares Regression Models. In Frontiers in Big Data, 4, 2021. doi  www 
  1. Claeys, E.; Gancarski, P.; Maumy-Bertrand, M. and Wassner, H. Dynamic allocation optimization in A/B tests using classification-based preprocessing. In IEEE Transactions on Knowledge and Data Engineering, 2021. doi  www 

Livres

  1. Bertrand, F.; Derquenne, C.; Dufrenot, G.; Jawadi, F. and Maumy-Bertrand, M. Statistiques pour l'économie et la gestion : théorie et applications en entreprise. De Boeck Supérieur, 2021. www 
  1. Meyer, N.; Fredon, D.; Maumy-Bertrand, M. and Bertrand, F. PASS Biostatistiques, Mathématiques et Probabilités. Ediscience, 2021. www 

Chapitres d'ouvrage

  1. Kenett, R.; Bertrand, F. and Maumy-Bertrand, M. Les réseaux bayésiens en pratique. In Statistique et Causalité, Technip, 2021. www 

Articles de conférence

  1. Bertrand, F. and Maumy-Bertrand, M. A New Algorithm to Decipher Patterned Heterogenous Networks. In 2021 Joint Statistical Meetings, Virtuel, United States, 2021. www 
  1. Bertrand, F.; Maumy-Bertrand, M. and Valero, Y. Introduction to Process Mining for the Improvement of Patient's Journeys. In SHeIC 2021 Smart Healthcare International Conference, Troyes, France, 2021. www 
  1. Piot, M.; Bertrand, F.; Clavier, J-B.; Guihard, S.; Eugène, R.; Meyer, P.; Mazzara, C. and Maumy-Bertrand, M. Bayesian Networks for Acute Toxicity Modeling in the Case of Radiotherapy Treatment of Breast Cancer. In SHeIC 2021 Smart Healthcare International Conference, Troyes, France, 2021. www 
  1. Fahs, F.; Bertrand, F. and Maumy-Bertrand, M. Prévision de la consommation d'électricité `a l'échelle individuelle dans les secteurs résidentiel et tertiaire. In Actes de la 9e édition, pages p187-199, Marseille, France, Actes de la 9e édition , 2021. www 
  1. Nengsih, T. A.; Bertrand, F.; Maumy-Bertrand, M. and Meyer, N. Influence of Missing Data on Determining the Number of Components for a PLS Regression on MCAR and MAR mechanism. In Data Science Summer School DS3 2021, Palaiseau, France, 2021. www 
  1. Maumy-Bertrand, M. and Bertrand, F. Improving Variable Selection in Linear Models Using the Select Boost Algorithm. In 2021 Joint Statistical Meetings, Virtuel, United States, 2021. www 
  1. Chion, M.; Bons, J.; Bonnet, M.; Maumy-Bertrand, M.; Carapito, C. and Bertrand, F. Modèle de régression par spline monotone pour données de protéomique quantitative. In Journées de Statistique 2021, Virtuel, France, 2021. www 
  1. Maumy-Bertrand, M. and Bertrand, F. Network Reverse Engineering with Approximate Bayesian Computation. In useR! 2021, Zurich (virtuel), Switzerland, 2021. www 
  1. Bertrand, F. and Maumy-Bertrand, M. Partial Least Squares Regression for Beta Regression Models. In useR! 2021, Zurich (virtuel), Switzerland, 2021. www 
  1. Bertrand, F. and Maumy-Bertrand, M. The Select Boost Algorithm Improves Variable Selection in Linear Models. In 2021 SIAM Annual Meeting (AN21), Virtuel, United States, 2021. www 
  1. Chion, M.; Bons, J.; Bonnet, M.; Maumy-Bertrand, M.; Carapito, C. and Bertrand, F. Using monotone spline smoothing to combine label-free and label-based accurate quantifications with DIA-MS: application to bovine muscle samples. In e-Chimiométrie 2021, Virtuel, France, 2021. www 
  1. Logosha, E.; Malblanc, S.; Bertrand, F.; Maumy-Bertrand, M.; Abidon, C. and Louise-Adèle, S. Utilisation de la science des données pour analyser des bases de données d'un observatoire du vignoble franc cais. In Actes de la 9e édition, pages p161-172, Marseille, France, Actes de la 9e édition , 2021. www 
  1. Maumy-Bertrand, M. and Bertrand, F. A New Algorithm for Reverse-Engineering Patterned Heterogenous Networks. In 2021 SIAM Annual Meeting (AN21), Virtuel, United States, 2021. www 

Divers

  1. Maumy-Bertrand, M. and Bertrand, F. Network Reverse Engineering with Approximate Bayesian Computation. , https://user2021.r-project.org/participation/technical_notes/t138/technote/. www 
  1. Bertrand, F. and Maumy-Bertrand, M. Partial Least Squares Regression for Beta Regression Models. , https://user2021.r-project.org/participation/technical_notes/t138/technote/. www 

2020

Articles de revue

  1. Carapito, R.; Aouadi, I.; Pichot, A.; Spinnhirny, P.; Morlon, A.; Kotova, I.; Macquin, C.; Rolli, V.; Cesbron, A.; Gagne, K.; Oudshoorn, M.; van Der Holt, B.; Labalette, M.; Spierings, E.; Picard, C.; Loiseau, P.; Tamouza, R.; Toubert, A.; Parissiadis, A.; Dubois, V.; Paillard, C.; Maumy-Bertrand, M.; Bertrand, F.; von Dem Borne, P. A.; Kuball, J. H. E.; Michallet, M.; Lioure, B.; Peffault de Latour, R.; Blaise, D.; Cornelissen, J. J.; Yakoub Agha, I.; Claas, F. H.J.; Moreau, P.; Charron, D.; Mohty, M.; Morishima, Y.; Socié, G. and Bahram, S. Compatibility at amino acid position 98 of MICB reduces the incidence of graft-versus host disease in conjunction with the CMV status. In Bone Marrow Transplantation, 15: Online ahead of print, 2020. doi  www 

Chapitres d'ouvrage

  1. Claeys, E.; Maumy-Bertrand, M. and Bottou, L. Causalité et apprentissage automatique. In Journées d''Etude en Statistique 2018, 2020. www 

Articles de conférence

  1. Bertrand, F. and Maumy-Bertrand, M. Deciphering Biological Networks with Patterned Heterogeneous (multiOmics) Measurements. In User! 2020, Saint Louis (cancelled), United States, 2020. www 
  1. Bertrand, F. and Maumy-Bertrand, M. Selectboost: Enhance the Performance of Variable Selection in Correlated Datasets. In User! 2020, Saint Louis (cancelled), United States, 2020. www 
  1. Claeys, E.; Ganc carski, P. and Maumy-Bertrand, M. Intégration des séries temporelles dans les A/B-Tests. In Extraction et Gestion des Connaissances 2020, Brussels, Belgium, 2020. www 
  1. Maumy-Bertrand, M. and Bertrand, F. networkABC : Network Reverse Engineering with Approximate Bayesian Computation. In User! 2020, Saint Louis (cancelled), United States, 2020. www 

Thèses et habilitations

  1. Maumy-Bertrand, M. Comment la modélisation statistique contribue-t-elle `a la recherche biomédicale et `a la R&D de l'industrie ?. Habilitation à diriger des recherches, Université de Strasbourg, 2020.

2019

Articles de revue

  1. Nengsih, T. A.; Bertrand, F.; Maumy-Bertrand, M. and Meyer, N. Determining the number of components in PLS regression on incomplete data set. In Statistical Applications in Genetics and Molecular Biology, 2019. doi  www 
  1. Schleiss, C.; Ilias, W.; Tahar, O.; G"uler, Y.; Miguet, L.; Mayeur-Rousse, C.; Mauvieux, L.; Fornecker, L-M.; Toussaint, E.; Herbrecht, R.; Bertrand, F.; Maumy-Bertrand, M.; Martin, T.; Fournel, S.; Georgel, P.; Bahram, S. and Vallat, L. BCR-associated factors driving chronic lymphocytic leukemia cells proliferation ex vivo. In Scientific Reports, 9 (1), 2019. doi  www 
  1. Schleiss, C.; Carapito, R.; Fornecker, L.; Muller, L.; Paul, N.; Tahar, O.; Pichot, A.; Mauvieux, L.; Herbrecht, R.; Maumy-Bertrand, M.; Freund, J-N.; Carapito, C.; Bahram, S.; Bertrand, F. and Vallat, L. A Core Proliferative Program Induced By B-Cell Receptor Stimulation in Chronic Lymphocytic Leukemia Cells. In Blood, 134, 2019. doi  www 
  1. Bertrand, F.; Caldini Queiros, C.; Maumy-Bertrand, M.; Prud'Homme, C. and Wahl, J-B. Rencontre mathématicien$times$e$times$s -- industriels : les mathématiques au coeur du dialogue. In Matapli, 118: 13-18, 2019. www 

Livres

  1. Bertrand, F.; Maumy-Bertrand, M.; Muller, A.; Ferrigno, S.; Marx, D. and Rabba Idi, Y. Mathématiques pour les sciences de l'ingénieur - Tout le cours en fiches. Dunod, 2019. www 
  1. Bertrand, F.; Claeys, E. and Maumy-Bertrand, M. Modélisation statistique par la pratique avec R. Dunod, 2019. www 

Articles de conférence

  1. Wahl, J-B.; Bertrand, F. and Maumy-Bertrand, M. PEPS DataFlow : Analyse de données pour des capteurs fluidiques `a haute précision. In 9e Biennale Franc caise des Mathématiques Appliquées et Industrielles, SMAI 2019, Guidel Plages, France, 2019. www 
  1. Fahs, F.; Maumy-Bertrand, M.; Caldini Queiros, C. and Bertrand, F. Prévision de la consommation d'électricité `a l'échelle des ménages. In Actes des 51èmes Journées de Statistique de la SFDS, Nancy, France, Actes des 51èmes Journées de Statistique de la SFDS , 2019. www 
  1. Hamaoui, J.; Minella, C.; Sananes, N.; Maumy-Bertrand, M.; Demont, E.; Rohmer, O. and Segond, H. Position foetale et système vestibulaire : un modèle explicatif des troubles de la coordination et des apprentissages. In 15èmes journées du Groupe de Réflexion en Psychopathologie Cognitive (GREPACO). Reims Champagne-Ardenne, France, Reims, France, 2019. www 
  1. Nengsih, T. A.; Bertrand, F.; Maumy-Bertrand, M. and Meyer, N. The Performance of Different Algorithms to Determine the Number of Components for a PLS Regression on MCAR and MAR mechanism. In Statlearn 2019, Grenoble, France, 2019. www 
  1. Nengsih, T. A.; Bertrand, F.; Maumy-Bertrand, M. and Meyer, N. Influence of Missing Data on Determining the Number of Components for a PLS Regression on MCAR and MAR mechanism. In The 19th Annual Conference of the European Network for Business and Industrial Statistics, Budapest, Hungary, 2019. www 
  1. Caldini Queiros, C.; Belhachmi, Z.; Bertrand, F.; Chabannes, V.; Fahs, F.; Helluy, P.; Hild, R.; Maumy-Bertrand, M.; Prud'Homme, C. and Wahl, J-B. Center of Modeling and Simulation of Strasbourg. In International Congress on Industrial and Applied Mathematics, Valence, Spain, 2019. www 
  1. Fahs, F.; Maumy-Bertrand, M.; Wahl, J-B. and Bertrand, F. Energy consumption analysis. In International Congress on Industrial and Applied Mathematics, Valence, Spain, 2019. www 
  1. Agniel, V.; Bertrand, F.; Claeys, E.; Delyon, A.; Maumy-Bertrand, M. and Nengsih, T. A. Système de recommandation : algorithmes et application `a la plateforme KeeSeeK. In Les 51es Journées de Statistique, Nancy, France, 2019. www 
  1. Claeys, E.; Maumy-Bertrand, M. and Gancarski, P. Gestion des logs dans les problèmes de Bandits Contextuels. In Les 51es Journées de Statistique, Nancy, France, 2019. www 
  1. Bertrand, F. and Maumy-Bertrand, M. Missing data and variational auto-encoders: a case study. In Data Science Summer School 2019, Palaiseau, France, 2019. www 

Divers

  1. Hamaoui, J.; Minella, C.; Sananès, N.; Maumy-Bertrand, M.; Demont, E.; Rohmer, O. and Segond, H. Facteurs biologiques et environnementaux influenc cant le développement psychomoteur de lénfant : latéralité et positionnement foetal. , Poster. www 
  1. Ferrigno, S. and Maumy-Bertrand, M. Estimation of reference curves for fetal weight. , Poster. www 
  1. Hamaoui, J.; Minella, C.; Sananès, N.; Maumy-Bertrand, M.; Demont, E.; Rohmer, O. and Segond, H. Facteurs biologiques et environnementaux influenc cant le développement de lénfant : latéralité et positionnement foetal. , Poster. www 
  1. Hamaoui, J.; Minella, C.; Sananès, N.; Maumy-Bertrand, M.; Demont, E.; Rohmer, O. and Segond, H. Position foetale et système vestibulaire~: un modèle explicatif des troubles de la coordination et des apprentissages. , Poster. www 

Rapports

  1. Agniel, V.; Bertrand, F.; Claeys, E.; Delyon, A.; Maumy-Bertrand, M. and Nengsih, T. A. Système de recommandation : algorithmes et application `a la plateforme KeeSeeK. Technical Report, Université de Strasbourg, IRMA UMR 7501, 2019.

2018

Articles de revue

  1. Hohnadel, M.; Maumy-Bertrand, M. and Chollet, R. Development of a micromanipulation method for single cell isolation of prokaryotes and its application in food safety. In PLoS ONE, 13 (5): e0198208, 2018. doi  www 

Livres

  1. Meyer, N.; Fredon, D.; Maumy-Bertrand, M. and Bertrand, F. Toute l'UE4 en fiches 1re année Santé. Evaluation des méthodes d'analyse appliquées aux sciences de la vie et de la santé. Ediscience, 2018. www 
  1. Bertrand, F. and Maumy-Bertrand, M. Initiation `a la statistique avec R : Cours, exemples, exercices et problèmes corrigés. Dunod, Sciences Sup , 2018. www 
  1. Maumy-Bertrand, M.; Saporta, G. and Thomas-Agnan, C. Apprentissage statistique et données massives. Editions Technip, 2018. www 
  1. Bertrand, F.; Fredon, D.; Rabba Idi, Y. and Maumy-Bertrand, M. Mathématiques Licence 2 - Exercices et méthodes. Dunod, 2018. www 

Chapitres d'ouvrage

  1. Sazadaly, M.; Pinchon, P.; Fagot, A.; Prevost, L. and Maumy-Bertrand, M. Cascade of Ordinal Classification and Local Regression for Audio-Based Affect Estimation. In Artificial Neural Networks in Pattern Recognition, pages 268-280, Springer International Publishing, Lecture Notes in Computer Science 11081, 2018. doi  www 

Articles de conférence

  1. Nengsih, T. A.; Bertrand, F.; Maumy-Bertrand, M. and Meyer, N. A Comparison of Determining the Number of Components of a PLS Regression with MCAR mechanism. In 10ème Assises France-Indonesia (The Joint Working Group (JWG) for Cooperation in Higher Education, Research and Innovation), Poitiers, France, 2018. www 
  1. Bertrand, F. and Maumy-Bertrand, M. Robustifying Partial Least Square Generalized Linear Regression. In SIAM AN 2018, Portland, United States, 2018. www 
  1. Nengsih, T. A.; Bertrand, F.; Maumy-Bertrand, M. and Meyer, N. Determining the number of components of a PLS regression on incomplete data. In 23rd International Conference on Computational Statistics, Iasi, Romania, 2018. www 
  1. Fahs, F.; Maumy-Bertrand, M. and Bertrand, F. Prédiction `a court terme de la consommation d'énergie d'un ménage. In INFORSID 2018, Nantes, France, Actes de l'Atelier Data Intelligence, INFORSID 2018 , 2018. www 
  1. Nengsih, T. A.; Bertrand, F.; Maumy-Bertrand, M. and Meyer, N. A Comparison of Determining the Number of Components of a PLS Regression for MAR Mechanism. In 18th Annual Conference of the European Network for Business and Industrial Statistics, Nancy, France, 2018. www 
  1. Claeys, E.; Ganc carski, P. and Maumy-Bertrand, M. Approche contextuelle par régression pour les tests A/B. In Extraction et Gestion des Connaissances (EGC) 2018, Paris, France, 2018. www 
  1. Maumy-Bertrand, M. and Bertrand, F. Number of components for Partial Least Squares generalized linear models with missing data. In Joint Statistical Meetings 2018, Vancouver, Canada, 2018. www 
  1. Bertrand, F. and Maumy-Bertrand, M. Robust algorithms for partial least squares generalized linear regression. In Joint Statistical Meetings 2018, Vancouver, Canada, 2018. www 
  1. Maumy-Bertrand, M. and Bertrand, F. Choosing the Number of Components for PLSGR Models : Influence of Missing Values. In SIAM AN 2018, Portland, United States, 2018. www 

Non publié

  1. Bertrand, F. and Maumy-Bertrand, M. A Sheet of Maple to Compute Second-Order Edgeworth Expansions and Related Quantities of any Function of the Mean of an iid Sample of an Absolutely Continuous Distribution. , 20 pages, 8 figures, code snippet. www 
  1. Bertrand, F. and Maumy-Bertrand, M. plsRglm: Partial least squares linear and generalized linear regression for processing incomplete datasets by cross-validation and bootstrap techniques with R. , 11 pages, 8 figures. www 
  1. Alawieh, H.; Bertrand, F.; Maumy-Bertrand, M.; Wicker, N. and Ayoubi, B. Al A random model for multidimensional fitting method. , 30 pages, 5 figures. www 

2017

Articles de revue

  1. Magnanensi, J.; Bertrand, F.; Maumy-Bertrand, M. and Meyer, N. A new universal resample-stable bootstrap-based stopping criterion for PLS component construction. In Statistics and Computing, 27 (3): 757-774, 2017. doi  www 

Chapitres d'ouvrage

  1. Claeys, E.; Gancarski, P.; Maumy-Bertrand, M. and Wassner, H. Regression tree for bandits models in A/B testing. In The Sixteenth International Symposium on Intelligent Data Analysis (IDA 2017), 2017. www 

Articles de conférence

  1. Carapito, R.; Jung, N.; Kwemou, M.; Untrau, M.; Michel, S.; Pichot, A.; Giacomettii, G.; Macquin, C.; Ilias, W.; Morlon, A; Kotovo, I; Apostolova, P; Schmitt-Graeff, A; Cesbron, A; Gagne, K; Oudshoorn, M; van Der Holt, B; Labalette, M; Spierings, E; Picard, C; Loiseau, P; Tamouza, R; Toubert, A; Parissiadis, A; Dubois, V; Lafarge, X; Maumy-Bertrand, M.; Bertrand, F.; Vago, L; Ciceri, F; Paillard, C.; Querol, S; Sierra, J; Fleischhauer, K; Nagler, A; Labopin, M; Inoko, H; von Dem Borne, P; Kuball, J; Ota, M; Katsuyama, Y; Michallet, M; Lioure, B; de Latour, R; Blaise, D; Cornelissen, J; Yakoub-Agha, I; Claas, F; Moreau, P; Milpied, N; Charron, D; Mohty, M; Zeiser, R; Socie, G and Bahram, S. Matching for the Non-Conventional Mhc-I Mica Gene Significantly Reduces the Incidence of Acute and Chronic Gvhd. In Hla, pages 350-351, Mannheim, Germany, 2017. doi  www 
  1. Claeys, E.; Ganc carski, P.; Maumy-Bertrand, M. and Wassner, H. Approche paramétrique de bandits pour le test A/B. In Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle, Caen, France, 2017. www 
  1. Bertrand, F. and Maumy-Bertrand, M. Bootstrapping and Cross-Validating Generalized PLS regressions using GPU. In BioC 2017: Where Software and Biology Connect, Boston, United States, 2017. www 
  1. Maumy-Bertrand, M. and Bertrand, F. GPU-based Approximate Bayesian Computation algorithms for network reverse-engineering. In Joint Statistical Meeting 2017, Baltimore, France, 2017. www 
  1. Maumy-Bertrand, M. and Bertrand, F. GPU-based Approximate Bayesian Computation algorithms for network reverse-engineering. In SIAM AN 2017, Pittsburgh, United States, 2017. www 
  1. Maumy-Bertrand, M. and Bertrand, F. GPU-based Approximate Bayesian Computation algorithms for network reverse-engineering. In BioC 2017: Where Software and Biology Connect, Boston, United States, 2017. www 
  1. Bertrand, F. and Maumy-Bertrand, M. Bootstrapping and Cross-Validating Generalized PLS regressions using GPU. In Joint Statistical Meeting 2017, Baltimore, United States, 2017. www 
  1. Bertrand, F. and Maumy-Bertrand, M. Bootstrapping and Cross-Validating Generalized PLS regressions using GPU. In SIAM AN 2017, Pittsburgh, United States, 2017. www 
  1. Claeys, E.; Ganc carski, P.; Maumy-Bertrand, M. and Wassner, H. Conception d'un modèle généraliste pour l'évaluation d'un test A/B. In 17ème Journées Francophones Extraction et Gestion des Connaissances, Grenoble, France, 2017. www 
  1. Bertrand, F.; Nengsih, T. A.; Maumy-Bertrand, M. and Meyer, N. Influence of Missing Data on the Estimation of the Number of Components of a PLS Regression. In 17th Applied Stochastic Models and Data Analysis International Conference, Londres, United Kingdom, 2017. www 

2016

Articles de revue

  1. Carapito, R.; Jung, N.; Kwemou, M.; Untrau, M.; Michel, S.; Pichot, A.; Giacometti, G.; Macquin, C.; Ilias, W.; Morlon, A.; Kotova, I.; Apostolova, P.; Schmitt-Graeff, A.; Cesbron, A.; Gagne, K.; Oudshoorn, M.; van Der Holt, B.; Labalette, M.; Spierings, E.; Picard, C.; Loiseau, P.; Tamouza, R.; Toubert, A.; Parissiadis, A.; Dubois, V.; Lafarge, X.; Maumy-Bertrand, M.; Bertrand, F.; Vago, L.; Ciceri, F.; Paillard, C.; Querol, S.; Sierra, J.; Fleischhauer, K.; Nagler, A.; Labopin, M.; Inoko, H.; von Dem Borne, P.; Kuball, J. H. E.; Ota, M.; Katsuyama, Y.; Michallet, M.; Lioure, B.; Peffault de Latour, R.; Blaise, D.; Cornelissen, J. J.; Yakoub-Agha, I.; Claas, F.; Moreau, P.; Milpied, N.; Charron, D.; Mohty, M.; Zeiser, R.; Socie, G. and Bahram, S. Matching for the non-conventional MHC-I MICA gene significantly reduces the incidence of acute and chronic GVHD. In Blood, 2016. doi  www 

Livres

  1. Bertrand, F.; Fredon, D. and Maumy-Bertrand, M. Mathématiques Licence 1 - Exercices et méthodes. Dunod, 2016. www 

Chapitres d'ouvrage

  1. Magnanensi, J.; Maumy-Bertrand, M.; Meyer, N. and Bertrand, F. A New Bootstrap-Based Stopping Criterion in PLS Components Construction. In PLS 2014: The Multiple Facets of Partial Least Squares and Related Methods, pages 239-250, 2016. doi  www 

Articles de conférence

  1. Bertrand, F.; Meyer, N. and Maumy-Bertrand, M. Influence of Missing Data on the Estimation of the Number of Components of a PLS Regression. In 22rd International Conference on Computational Statistics, Oviedo, Spain, 2016. www 
  1. Maumy-Bertrand, M.; Jung, N.; Bertrand, F. and Musayeva, K. New insights in Approximate Bayesian Computation algorithms for network reverse-engineering. In 22rd International Conference on Computational Statistics, Oviedo, Spain, 2016. www 

2015

Articles de revue

  1. Bastien, P.; Bertrand, F.; Meyer, N. and Maumy-Bertrand, M. Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data. In Bioinformatics, 31 (3), 2015. doi  www 

Livres

  1. Meyer, N.; Fredon, D.; Maumy-Bertrand, M. and Bertrand, F. Toute l'UE4 en fiches 1re année Santé. Evaluation des méthodes d'analyse appliquées aux sciences de la vie et de la santé. Ediscience, 2015. www 

Articles de conférence

  1. Magnanensi, J.; Maumy-Bertrand, M.; Meyer, N. and Bertrand, F. New developments of sparse PLS regressions. In CMStatistics 2015, Londres, United Kingdom, 2015. www 
  1. Bertrand, F.; Bastien, P. and Maumy-Bertrand, M. Cross validating extensions of kernel, sparse or regular partial least squares regression models to censored data. In CMStatistics 2015, Londres, United Kingdom, 2015. www 
  1. Muller-Gueudin, A.; Ferrigno, S. and Maumy-Bertrand, M. Certainty bands for the conditional cumulative distribution function and applications. In 47èmes Journées de Statistique de la SFdS, Lille, France, 2015. www 
  1. Bastien, P.; Bertrand, F.; Meyer, N. and Maumy-Bertrand, M. Deviance residuals based sparse PLS and sparse kernel PLS regression for censored data. In 60th World Statistics Congress, ISI 2015, Rio de Janeiro, Brazil, 2015. www 

Divers

  1. Ferrigno, S.; Foliguet, B.; Maumy-Bertrand, M. and Muller-Gueudin, A. Certainty bands for the conditional cumulative distribution function and applications. , Poster. www 

Non publié

  1. Magnanensi, J.; Bertrand, F.; Maumy-Bertrand, M. and Meyer, N. A new Universal Resample Stable Bootstrap-based Stopping Criterion in PLS Components Construction. , 31 pages, 20 figures. www 

2014

Articles de revue

  1. Bourjade, M.; Call, J.; Pelé, M.; Maumy-Bertrand, M. and Dufour, V. Bonobos and orangutans, but not chimpanzees, flexibly plan for the future in a token-exchange task. In Animal Cognition, 17 (6): 1329-1340, 2014. doi  www 
  1. Jung, N.; Bertrand, F.; Bahram, S.; Vallat, L. and Maumy-Bertrand, M. Cascade: a R package to study, predict and simulate the diffusion of a signal through a temporal gene network. In Bioinformatics, 3 (4): 571-3, 2014. doi  www 

Livres

  1. Bertrand, F. and Maumy-Bertrand, M. Initiation `a la statistique avec R : Cours, exemples, exercices et problèmes corrigés. Dunod, Sciences Sup , 2014. www 
  1. Droesbeke, J-J.; Maumy-Bertrand, M.; Saporta, G. and Thomas-Agnan, C. Approches statistiques du risque. , 2014. www 

Articles de conférence

  1. Bastien, P.; Bertrand, F.; Meyer, N. and Maumy-Bertrand, M. Deviance residuals based sparse PLS and sparse kernel PLS regression for censored data. In Meeting annuel de la Société de statistique du Canada 2014, Toronto, Canada, 2014. www 
  1. Bastien, P.; Bertrand, F.; Meyer, N. and Maumy-Bertrand, M. Deviance residuals based sparse PLS and sparse kernel PLS regression for censored data. In The 8th International Conference on Partial Least Squares and Related Methods, Paris, France, 2014. www 
  1. Bertrand, F.; Maumy-Bertrand, M. and Meyer, N. plsRcox, Cox-Models in a high dimensional setting in R. In User!2014, Los Angeles, United States, 2014. www 
  1. Bertrand, F.; Maumy-Bertrand, M. and Meyer, N. plsRglm, PLS generalized linear models for R. In User!2014, Los Angeles, United States, 2014. www 
  1. Bertrand, F.; Bastien, P. and Maumy-Bertrand, M. Cross-validated partial least squares models and their extensions with censored data. In 21st International Conference on Computational Statistics, Genève, Switzerland, 2014. www 
  1. Maumy-Bertrand, M.; Magnanensi, J.; Meyer, N. and Bertrand, F. Bootstrap technique and number of PLS or PLSGLR components selection. In 21st International Conference on Computational Statistics, Genève, Switzerland, 2014. www 
  1. Magnanensi, J.; Bertrand, F.; Maumy-Bertrand, M. and Meyer, N. A new bootstrap based stopping criterion in PLS components construction. In The 8th International Conference on Partial Least Squares and Related Methods, Paris, France, 2014. www 
  1. Jung, N.; Maumy-Bertrand, M. and Bertrand, F. Cascade: a R-package to study, predict and simulate the diffusion of a signal through a temporal gene network. In User!2014, Los Angeles, United States, 2014. www 

Non publié

  1. Ferrigno, S.; Foliguet, B.; Maumy-Bertrand, M. and Muller-Gueudin, A. Certainty bands for the conditional cumulative distribution function and applications. , 25 pages. www 
  1. Maumy-Bertrand, M. and Muller-Gueudin, A Certainty bands for the conditional cumulative distribution function and applications. , working paper or preprint. www 

2013

Articles de revue

  1. Vallat, L.; Kemper, C. A; Jung, N.; Maumy-Bertrand, M.; Bertrand, F.; Meyer, N.; Pocheville, A.; Fisher, J. W; Gribben, J. G and Bahram, S. Reverse-engineering the genetic circuitry of a cancer cell with predicted intervention in chronic lymphocytic leukemia. In Proceedings of the National Academy of Sciences of the United States of America, 110 (2): 459-64, 2013. doi  www 
  1. Kuntzmann, P.; Barbe, J.; Maumy-Bertrand, M. and Bertrand, F. Late harvest as factor affecting esca and botryosphaeria dieback prevalence of vineards in the Alsace region of France. In Vitis, 52 (4): 197-204, 2013. www 
  1. Grenèche, J.; Krieger, J.; Bertrand, F.; Erhardt, C.; Maumy, M. and Tassi, P. Effect of continuous positive airway pressure treatment on short-term memory performance over 24 h of sustained wakefulness in patients with obstructive sleep apnea--hypopnea syndrome. In Sleep Medicine, 14 (10), 2013. doi  www 

Livres

  1. Bertrand, F.; Maumy-Bertrand, M.; Muller, A.; Ferrigno, S. and Marx, D. Mathématiques pour les sciences de l'ingénieur - Tout le cours en fiches. Dunod, 2013. www 

Articles de conférence

  1. Jung, N.; Bertrand, F.; Maumy-Bertrand, M. and Vallat, L. Predicted intervention in a cancer genetic program. In The 14th International Conference on Systems Biology, Copenhague, Denmark, 2013. www 
  1. Bertrand, F.; Jung, N.; Maumy-Bertrand, M. and Vallat, L. Cascade : un package R pour étudier la dispersion d'un signal dans un réseau de gènes. In Deuxièmes rencontres R, Lyon, France, 2013. www 

2012

Articles de revue

  1. Bertrand, F.; Meyer, N.; Beau-Faller, M.; El Bayed, K.; Namer, I-J. and Maumy-Bertrand, M. Régression Bêta PLS. In Journal de la Societe Franc caise de Statistique, 154 (3): 143-159, 2012. www 

Livres

  1. Bertrand, F. and Maumy-Bertrand, M. Mathématiques : Concours des catégories A et B. Dunod, 2012. www 

Articles de conférence

  1. Bertrand, F.; Maumy-Bertrand, M.; Meyer, N. and Beau-Faller, M. PLS Beta Regression. In AGROSTAT 2012, Paris, France, 2012. www 
  1. Jung, N.; Maumy-Bertrand, M.; Vallat, L. and Bertrand, F. Inférence conjointe de réseaux de gènes dans de multiples états. In Journées de la statistique 2012, Bruxelles, Belgium, 2012. www 
  1. Kuntzmann, P.; Barbe, J.; Maumy-Bertrand, M. and Bertrand, F. Cultural practices affecting esca and Botryosphaeria dieback prevalence of vineyards in the Alsace region of France. In The 8th International Workshop on Grapevine Trunk Diseases, Valence, Spain, 2012. www 
  1. Bertrand, F.; Maumy-Bertrand, M. and Meyer, N. Kernel PLS Beta Regressions. In Thirteenth International Conference on Chemometrics in Analytical Chemistry, Budapest, Hungary, 2012. www 
  1. Bertrand, F.; Meyer, N. and Maumy-Bertrand, M. Kernel PLS GLM Regressions. In ENBIS 2012, Ljublana, Slovenia, 2012. www 

2011

Articles de revue

  1. Grenèche, J.; Krieger, J.; Bertrand, F.; Erhardt, C.; Maumy-Bertrand, M. and Tassi, P. Short-term memory performances during sustained wakefulness in patients with obstructive sleep apnea-hypopnea syndrome. In Brain and Cognition, 75 (1): 39-50, 2011. doi  www 

Livres

  1. Meyer, N.; Fredon, D.; Maumy-Bertrand, M. and Bertrand, F. Toute l'UE4 en fiches 1re année Santé. Evaluation des méthodes d'analyse appliquées aux sciences de la vie et de la santé. Ediscience, 2011. www 
  1. Bertrand, F.; Maumy-Bertrand, M. and Périnel, E. Econométrie, Statistiques et Probabilités : Concours des catégories A et B. Dunod, Je prépare , 2011. www 
  1. Bertrand, F. and Maumy-Bertrand, M. Maxi fiches de Statistique pour les scientifiques en 80 fiches. Dunod, 2011. www 

Non publié

  1. Ferrigno, S.; Maumy-Bertrand, M. and Muller, A. Uniform law of the logarithm for the conditional distribution function and application to certainty bands. , working paper or preprint. www 

2010

Articles de revue

  1. Meyer, N.; Maumy, M. and Bertrand, F. Comparaison de variantes de régressions logistiques PLS et de régression PLS sur variables qualitatives : application aux données d'allélotypage. In Journal de la Societe Franc caise de Statistique, 151 (2): 1-18, 2010. www 
  1. Bertrand, F. and Maumy-Bertrand, M. Using Partial Triadic Analysis for Depicting the Temporal Evolution of Spatial Structures: Assessing Phytoplankton Structure and Succession in a Water Reservoir. In Case Studies in Business, Industry and Government Statistics, 4 (1): pages 23-43, http://www.bentley.edu/csbigs/documents/bertrand2.pdf, 2010. www 
  1. Maumy-Bertrand, M. and Varron, D. Non standard functional limit laws for the increments of the compound empirical distribution function. In Electronic Journal of Statistics, 4: 1324-1344, 2010. doi  www 
  1. Ferrigno, S.; Maumy-Bertrand, M. and Muller, A. Uniform law of the logarithm for the local linear estimator of the conditional distribution function. In Comptes rendus de l'Académie des sciences. Série I, Mathématique, 348 (17-18): 1015-1019, 2010. doi  www 
  1. Berge, C.; Froloff, N.; Kalathur, R. K. R.; Maumy, M.; Poch, O.; Raffelsberger, W. and Wicker, N. Multidimensional fitting for multivariate data analysis. In Journal of Computational Biology, 17 (5): 723-732, 2010. doi  www 

Livres

  1. Bertrand, F. and Maumy-Bertrand, M. Initiation `a la statistique avec R : Cours, exemples, exercices et problèmes corrigés. Dunod, Sciences Sup , 2010. www 

Articles de conférence

  1. Bertrand, F.; Maumy-Bertrand, M.; Marie-Pierre, G. and Meyer, N. plsRcox : modèles de Cox en présence d'un grand nombre de variables explicatives. In Recueil des résumés - Chimiométrie 2010, pages p. 67-68, Paris, France, 2010. www 
  1. Bertrand, F.; Maumy-Bertrand, M. and Meyer, N. plsRglm, PLS generalized linear models for the R language. In CAC-2010 Book of Abstracts, pages 66, Anvers, Belgium, 2010. www 
  1. Bertrand, F.; Maumy-Bertrand, M. and Meyer, N. PlsRglm : Régression PLS et modèles linéaires généralisés sous R. In 42èmes Journées de Statistique, Marseille, France, France, 2010. www 
  1. Bertrand, F.; Maumy-Bertrand, M. and Meyer, N. plsRglm, modèles linéaires généralisés PLS sous R. In AGROSTAT 2010, pages pages 33-42, Benevento, Italy, 2010. www 

2009

Articles de revue

  1. Rolland, A.; Bertrand, F.; Maumy, M. and Jacquet, S. Assessing phytoplankton structure and spatio-temporal dynamics in a freshwater ecosystem using a powerful multiway statistical analysis. In Water Research, 43 (13): 3155-68, 2009. doi  www 
  1. Bourjade, M.; Thierry, B.; Maumy, M. and Petit, O. Decision-making in Przewalski horses (Equus ferus przewalskii) is driven by the ecological contexts of collective movements. In Ethology, 115: 321-330, 2009. doi  www 

Livres

  1. Fredon, D.; Maumy, M. and Bertrand, F. Mathématiques L1-L2 : Analyse en 30 fiches. Dunod, Express Sup , 2009. www 
  1. Fredon, D.; Maumy, M. and Bertrand, F. Mathématiques L1-L2 : Algèbre/Géométrie en 30 fiches. Dunod, Express Sup , 2009. www 
  1. Fredon, D.; Maumy, M. and Bertrand, F. Mathématiques L1/L2 : Statistique et Probabilités en 30 fiches. Dunod, Express Sup , 2009. www 

Articles de conférence

  1. Bertrand, F.; Maumy, M. and Meyer, N. plsRglm, modèles linéaires généralisés PLS sous R. In Actes du congrès de Chimiométrie 2009, pages pp 52-54, Paris, France, 2009. www 

2008

Articles de revue

  1. Jacobs, A.; Maumy, M. and Petit, O. The influence of social organisation on leadership in brown lemurs (Eulemur fulvus fulvus) in a controlled environment. In Behavioural Processes, 79: 111-113, 2008. doi  www 
  1. Fussler, L.; Kobes, N.; Bertrand, F.; Maumy, M.; Grosman, J. and Savary, S. A characterization of grapevine trunk diseases in France from data generated by the National Grapevine Wood Diseases Survey. In Phytopathology, 98 (5): 571-9, 2008. doi  www 
  1. Bertrand, F.; Maumy, M.; Fussler, L.; Kobes, N.; Savary, S. and Grosman, J. 'Etude statistique des données collectées par l'Observatoire National des Maladies du Bois de la Vigne. In Journal de la Societe Franc caise de Statistique, 149 (4): pages 73-106, 2008. www 
  1. Grandgeorge, M.; Wanless, S.; Dunn, T. E.; Maumy-Bertrand, M.; Beaugrand, G. and Grémillet, D. Resilience of the British and Irish seabird Community in the twentieth century. In Aquatic Biology (4): 187-199, 2008. doi  www 

Articles de conférence

  1. Maumy, M.; Rolland, A.; Jacquet, S. and Bertrand, F. Using multitable techniques for assessing phytoplankton structure and succession in the reservoir Marne (Seine Catchment Area, France). In SFC-CLADAG First joint meeting of the Société Francophone de Classification and the Classification And Data Analysis Groupe of SIS, Caserta, Italy, ''First joint meeting of the Société Francophone de Classification and the Classification And Data Analysis Groupe of SIS, Caserta : Italy (2008)'' , 2008. www 
  1. Bertrand, F. and Maumy, M. Decision rules based on the estimate of a proportion of measurements. In Program and short papers book, pages 245-249, Montpellier, France, 2008. www 
  1. Bertrand, F.; Maumy, M.; Souaifi, H. and Bidon, J-P. High-performance Method to Predict Sales of Fast-moving Sales Goods. In Joint Meeting of the Statistical Society of Canada and the Société Franc caise de Statistique, Ottawa, Canada, 2008. www 
  1. Bertrand, F.; Maumy-Bertrand, M.; Rolland, A. and Jacquet, S. Using multitable techniques for assessing Phytoplankton Structure and Succession in the Reservoir Marne (Seine Catchment Area, France). In Book of short papers, SFC-CLADAG Meeting 2008, pages ?, Caserta, Italy, 2008. www 
  1. Bertrand, F.; Maumy, M. and Grosman, J. Using Factor Analyses to explore data generated by the National Grapevine Wood Diseases Survey. In Joint Meeting of the Statistical Society of Canada and the Société Franc caise de Statistique, Ottawa, Canada, 2008. www 

2007

Articles de revue

  1. Kobes, N.; Fussler, L.; Pleynet, M.; Savary, S.; Bertrand, F. and Maumy, M. Vigne, maladies du bois, des facteurs-clés. In Phytoma la Défense des Végétaux (604): 33-37, 2007. www 
  1. Kobes, N.; Fussler, L.; Pleynet, M.; Savary, S.; Bertrand, F. and Maumy, M. Vignes, maladies du bois, des facteurs clefs. Premiers résultats de l'analyse statistique des données de l'Observatoire national. In Phytoma la Défense des Végétaux (604): 33-37, 2007. www 
  1. Boulanger, B.; Dewé, W.; Gilbert, A.; Govaerts, B. and Maumy, M. Risk management for analytical methods based on the total error concept:Conciliating the objectives of the pre-study and in-study validation phases. In Chemometrics and Intelligent Laboratory Systems, 86: 198-207, 2007. doi  www 
  1. Bertrand, F.; Maumy, M.; Fussler, L.; Kobes, N.; Savary, S. and Grosman, J. Using Factor Analyses to explore data generated by the National Grapevine Wood Diseases Survey. In Case Studies in Business, Industry and Government Statistics, 1 (2): pp. 183-202, 2007. www 
  1. Bertrand, F. and Maumy, M. Développements d'Edgeworth de deux estimateurs d'une proportion de mesures
    ------
    Edgeworth expansions for two point estimators of the proportion of measures    . In Comptes Rendus. Mathématique, 345 (7): 399-404, 2007. doi  www 

Articles de conférence

  1. Fussler, L.; Kobes, N.; Bertrand, F.; Maumy, M.; Grosman, J. and Savary, S. A characterization of grapevine trunk diseases in France from data generated by the National Grapevine Wood Diseases Survey. In APS/SON Joint Meeting 2007, San Diego, United States, 2007. www 
  1. Bertrand, F. and Maumy, M. Intervalles de confiance bilatéraux et unilatéraux d'une proportion de mesures. In Actes du congrès de Chimiométrie 2007, pages 82-85, Lyon, France, 2007. www 
  1. Bertrand, F. and Maumy, M. Application de méthodes de classification sur des vitesses métrologiques de dégradation de compteurs déau. In XIVe Rencontre de la Société francophone de classification -- SFC 2007, Paris, France, 2007. www 
  1. Bertrand, F. and Maumy, M. Développement d'Edgeworth de deux estimateurs d'une proportion de mesures. In Congrès national de Mathématiques Appliquées et Industrielles, Praz sur Arly, France, 2007. www 
  1. Rolland, A.; Bertrand, F.; Druart, J-C.; Maumy, M. and Jacquet, S. A powerful multitable approach for assessing phytoplankton structure and dynamics in the reservoir Marne (Seine catchment area, France). In 30th Congress of the International Association of Theoretical and Applied Limnology, Montréal, Canada, 2007. www 
  1. Bertrand, F.; Maumy, M.; Fussler, L.; Kobes, N.; Savary, S. and Grosman, J. Analyses Factorielles et Régressions Logistiques réalisées `a partir de données récoltées dans le cadre de l'Observatoire National des Maladies du Bois de la Vigne. In 39ème Journées de statistique de la SFdS : programme des journées et résumés des conférences, pages 62, Société Franc caise de Statistique, Angers, France, 39ème Journées de statistique de la SFdS , 2007. www 
  1. Rolland, A.; Bertrand, F.; Maumy, M. and Jacquet, S. Phytoplankton Structure and Succession in the Reservoir Marne (Seine Catchment Area, France): A Multitable Approach. In Fifth Symposium for European Freshwater Sciences, Palerme, Italy, 2007. www 
  1. Rolland, A.; Bertrand, F.; Druart, J-C.; Maumy, M. and Jacquet, S. A powerfull multitable approach for assessing phytoplankton structure and dynamics in the reservoir Marne (Seine catchment area, France). In 3. Congress of the International Association of Theoretical and Applied Limnology, pages 1 p, Montréal, Canada, 2007. www 
  1. Bertrand, F. and Maumy, M. Développement d'Edgeworth de deux estimateurs d'une proportion de mesures. In 39ème Journées de statistique de la SFdS : programme des journées et résumés des conférences, pages 83, Société Franc caise de Statistique, Angers, France, 2007. www 

Non publié

  1. Bertrand, F.; Maumy, M.; Fussler, L.; Kobes, N.; Savary, S. and Grosman, J. 'Etude statistique des données collectées par l'Observatoire National des Maladies du Bois de la Vigne. , 30 pages, 17 figures. www 
  1. Bertrand, F. and Maumy, M. Développements d'Edgeworth de deux estimateurs d'une proportion de mesures. , 29 pages. www 

2006

Articles de revue

  1. Deville, J-C. and Maumy, M. Extensions de la méthode d'échantillonnage indirect et son application aux enquêtes dans le tourisme. In Techniques dénquête, Volume 32 (numéro 2): 197-206, 2006. www 

Chapitres d'ouvrage

  1. Maumy, M. and Deville, J-C. La méthodologie de MORGOAT : Enquête tourisme en Bretagne. In Méthodes dénquêtes et sondages. Pratiques européenne et nord-américaine, pages 393-398, Dunod, Sciences Sup , 2006. www 
  1. Deville, J-C. and Maumy-Bertrand, M. La méthodologie de Morgoat : Enquête tourisme en Bretagne. In Méthodes dénquêtes et sondages Pratiques européenne et nord-américaine, pages 393-398, Dunod, 2006. www 

2005

Articles de conférence

  1. Deville, J-C.; Lavallée, P. and Maumy, M. Composition, factorisation et conditions d'optimalité (faible, forte) dans la méthode de partage des poids ; application `a lénquête sur le tourisme en Bretagne. In Journées de Méthodologie Statistique 2005, pages 1-8, INSEE, Paris, France, 2005. www 
  1. Deville, J-C. and Maumy, M. Extensions de la méthode d'échantillonnage indirect et son application `a lénquête dans le tourisme : M.O.R.G.O.A.T. In Journées de Méthodologie Statistique 2005, pages 1-14, INSEE, Paris, France, 2005. www 
  1. Guermeur, Y.; Maumy, M. and Sur, F. Model selection for multi-class SVMs. In International Symposium on Applied Stochastic Models and Data Analysis - ASMDA 2005, Brest, France, 2005. www 
  1. Cornebise, J.; Maumy, M. and Girard, P. A Practical Implementation of the Gibbs Sampler for Mixture of Distributions: Application to the Determination of Specifications in Food Industry. In International Symposium on Applied Stochastic Models and Data Analysis, pages 828-838, ASMDA, 2005. www 
  1. Maumy, M.; Boulanger, B.; Dewe, W.; Gilbert, A. and Govaerts., B. Risk management for analytical methods: conciliating objectives of methods, validation phase and routine decision rules. In Actes du congrès de Chimiométrie 2005, pages 1-4, France, 2005. www 

2004

Articles de revue

  1. Maumy, M. Strong Approximations for the Compound Empirical Process. In Annales de l'ISUP, XXXXVIII (1-2): 69-83, 2004. www 

2002

Thèses et habilitations

  1. Maumy, M. Etude du processus empirique composé. Ph.D. Thesis, Université Pierre et Marie Curie - Paris VI, 2002.
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