Je suis Professeur à l'Université d'Aix-Marseille

Ma page web se trouve ici : https://sites.google.com/view/denys-pommeret/home

Adresse : Aix-Marseille Université - Institut de Mathématiques de Marseille (I2M) – UMR 7373 - Site de Saint Charles, 3 place Victor Hugo, Case 19 - 13331 Marseille cédex 3

Contact : denys.pommeret@univ-amu.fr

Actualités :

• Membre de l'Institut de Mathématiques de Marseille (https://www.i2m.univ-amu.fr/)
• Membre du conseil de la Société Française de Statistique (https://www.sfds.asso.fr/)
• Membre de l'Institut des Actuaires (https://www.institutdesactuaires.com/)
• co-Porteur (avec Yahia Salhi) de la Chaire d'Excellence “ACTIONS” (Actuaries for Change in Technologies and Insurees Opportunities for Next Steps) avec BNP Paribas Cardif, l'Institut des actuaires et l'Institut Louis Bachelier.
• Membre du projet ANR “DREAMeS” (https://sites.google.com/view/anr-dreames)
• co-Porteur (avec Xavier Milhaud et mes collègues du MIO et du LAMA) du projet “Order and Disorder in a Turbulent Ocean” de l'Institut des Mathématiques pour la Planète Terre (https://rodeo-ocean.mio.osupytheas.fr/)
• Co-responsable (avec Mohamed Boutahar et Samuel Stocksieker) du Master IMSA (https://formations.univ-amu.fr/ME5SMS-PRSMS5AA.html)

Publications (assez) récentes :

• Stocksieker, S., Pommeret, D., Charpentier, A. (2024) “Generalized Smoothed Bootstrap for Imbalanced Regression” CIKM 2024
• Stocksieker, S., Pommeret, D., Charpentier, A. (2024) “Data Augmentation with Variational Autoencoder for Imbalanced Dataset” ICONIP 2024
• Milhaud, X., Pommeret, D., Salhi, Y., Vandekerkhove, P. (2024) “Contamination-source based K-sample clustering” Journal of Machine Learning Research
• Stocksieker, S., Pommeret, D., Charpentier, A. (2024) “Generalized Oversampling for Learning from Imbalanced Dataset and Associated Theory: Application in Regression” Transactions on Machine Learning research.
• Stocksieker, S., Pommeret, D., Charpentier, A. (2024) “Boarding for ISS: Imbalanced Self-Supervised Discovery of a Scaled Autoencoder for Mixed Tabular Datasets” IEEE WCCI.
• Mnatsakanov, R., Pommeret, D. (2024) “ On recovering the relative distribution. Part 1: The moment-recovered approach” Statistics & Probability Letters.
• Ngounou-Bakam, Y., Pommeret, D. (2024) “Smooth test for equality of copulas” Electronic Journal of Statistics.
• Ngounou-Bakam, Y., Pommeret, D. (2023) “Nonparametric estimation of copulas and copula densities by orthogonal projections” Econometrics and Statistics.
• Milhaud, X., Pommeret, D., Salhi, Y., Vandekerkhove, P. (2023) “Two sample contamination model test” Bernoulli.
• Stocksieker, S., Pommeret, D., Charpentier, A. (2023) “Data Augmentation for Imbalanced Regression” AISTATS.
• Ngounou-Bakam, Y., Pommeret, D. (2022) “Kcop: Smooth Test for Equality of Copulas and Clustering Multivariate” R Package.
• Fuchs, R., Thyssen, M., Creach, V., Dugenne, M., Izard, L., Latimier, M., Louchart, A., Marrec, P., Rijkeboer, M., Grégori, G., Pommeret, D. (2022) “Automatic recognition of flow cytometric phytoplankton functional groups using convolutional neural networks”. Limnology and Oceanography Methods.
• Fuchs, R., Pommeret, D., Stocksieker, S. (2022) “MIAMI: MIxed data Augmentation MIxture”. ICCSA Proceedings – Lecture Notes in Computer Science.
• Fuchs, R., Pommeret, D., Stocksieker, S. (2022) “MI2AMI: Missing data imputation using Mixed Deep Gaussian Mixture Models”. LOD Proceedings – Lecture Notes in Computer Science.
• Pommeret, D., Reboul, L., Yao, A.F. (2022) “Testing the equality of the laws of two strictly stationary processes”. Statistical Inference for Stochastic Processes.
• Fuchs, R., Pommeret, D., Viroli, C. (2021) “Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets”. Advances in Data Analysis and Classification.
• Milhaud, X., Pommeret, D., Salhi, Y., Vandekerkhove, P. (2022) “Semiparametric two-sample admixture components comparison test: The symmetric case”. Journal of Statistical Planning and Inference.
• Soubeyrand, S., Ribaud, M., Baudrot, V., Allard, D., Pommeret. D, Roques, L. (2020) “COVID-19 mortality dynamics: The future modelled as a (mixture of) past(s)” PLOS ONE.
• Pommeret, D., Vandekerkhove, P. (2019) “ Semiparametric density testing in the contamination model”. Electronic Journal of Statistics.
• Doukhan, P., Grublit, I., Pommeret, D., Reboul, L. (2019) “Comparing the marginal densities of two strictly stationary linear processes”. Annals of the Institute of Statistical Mathematics.
• Pommeret, D., Reboul, L. (2018) “Approximating the Probability Density Function of a Transformation of Random Variables”. Methodology and Computing in Applied Probability.
• Doukhan, P., Joseph Rynkiewicz, J., Pommeret, D., Salhi, Y. (2017) “A Class of Random Field Memory Models for Mortality Forecasting”. Insurance Mathematics and Economics.
• Goffard, P.O., Loisel, S., Pommeret, D. (2017) “Polynomial approximation for bivariate aggregate claims amount probability distributions”. Methodology and Computing in Applied Probability.
• Goffard, P.O., Loisel, S., Pommeret, D. (2016) “A polynomial expansion to approximate the ultimate ruin probability in the coumpound Poisson ruin model”. Journal of Computational and Applied Mathematics.
• Boutahar, M., Pommeret, D. (2016) “A test for the equality of transformations of two random variables”. ESAIM P&S.
• Doukhan, P., Pommeret, D., Reboul, L. (2015) “Data Driven Smooth Test of Comparison of Dependent Sequences”. Journal of Multivariate Analysis.
• Pommeret, D. (2015) “Comparing two mixing densities in nonparametric mixtures”. Sankhya
• Pommeret, D. (2013) “A two-sample test when data are contaminated”. Statistical Methods and Applications.
• Boutahar, M. Ghattas, B., Pommeret, D. (2013) “Nonparametric comparison of several transformations of distribution functions”. Journal of Nonparametric Statistics.
• Baragatti, M., Grimaud, A., Pommeret, D. (2013) “Parallel tempering with Equi-Energy moves”. Statistics and Computing.
• Baragatti, A. Grimaud, A., Pommeret, D. (2012) “Likelihood-free parallel tempering”. Statistics and Computing.
• Druilhet, P., Pommeret, D. (2012) “Invariant conjugate analysis for exponential families”. Bayesian Analysis.
• Baragatti, M., Pommeret, D. (2011) “A study of variable selection using g-prior distribution with ridge parameter”. Computational Statistics and Data Analysis.
• Guyon, E., Pommeret, D. (2011) “Imputation by PLS regression for linear mixed models”. Journal de la Société Francaise de Statistique.
• Pommeret, D. (2011) “Data driven smooth test for contaminated data”. Journal of Statistical Theory and Practice.
• Ghattas, B., Pommeret, D., Reboul, L., Yao, A.F. (2011) “Data driven smooth test for paired populations”. Journal of Statistical Planning and Inference.
• Baragatti, M., Pommeret, D. (2011) Comments on “Bayesian variable selection for disease classification using gene expression data”. Bioinformatics.
• Pommeret (2010) “Testing Mixed Distributions when the Mixing Distribution Is Known”. Advances in Data Analysis, Data Handling and Business Intelligence. Studies in Classification,Data Analysis, and Knowledge Organization.

Evénements :

• Séminaires de statistique à Marseille https://www.i2m.univ-amu.fr/agenda/seminaires/seminaire-statistique/
• 55e Journées de statistique à Bordeaux https://jds2024.sciencesconf.org/

Equipes :

• I2M https://www.i2m.univ-amu.fr/
• Groupe ALEA https://www.i2m.univ-amu.fr/la-recherche/groupes-scientifiques/groupe-mathematiques-de-laleatoire-alea/
• Equipe de statistique de l'I2M https://www.i2m.univ-amu.fr/la-recherche/groupes-scientifiques/groupe-mathematiques-de-laleatoire-alea/equipe-statistique-sta/

Quelques liens utiles :

• Institut des actuaires https://www.institutdesactuaires.com/
• La Société Française de Statistique : https://www.sfds.asso.fr/
• Ma page web https://sites.google.com/view/denys-pommeret/home

Formations :

• Master en Actuariat à Marseille https://formations.univ-amu.fr/ME5SMS-PRSMS5AA.html
• l'ISFA https://isfa.univ-lyon1.fr/
• ENSAI (Rennes) http://ensai.fr/
• Ecole Centrale Lyon https://option-md.ec-lyon.fr/MIR.php?item=Cours
• Centrale Méditerranée https://www.centrale-mediterranee.fr/fr

Projets :

• Chaire d'Excellence DAMI : http://chaire-dami.fr/
• Chaire d'Excellence DIALOG : https://hal.archives-ouvertes.fr/CHAIRE-DIALOG
• Chaire d'Excellence ACTIONS (Actuaries for Change in Technologies and Insurees Opportunities for Next Steps) : https://chaireactions.fr/
• Projet ANR DREAMES https://lmm.univ-lemans.fr/fr/projets-et-chaires/anr-dreames.html

Packages :

• Kcop R Package https://cran.r-project.org/web/packages/Kcop/index.html
• Projet rODEo de l'IMPT “Ordre et désordre dans un océan turbulent” https://rodeo-ocean.mio.osupytheas.fr/?page_id=17
• Réseau Thématique Matrisk https://ama-matrisk-2024.sciencesconf.org/