| On the use of a local ˆR to improve MCMC convergence diagnostic T Moins, J Arbel, A Dutfoy, S Girard Bayesian Analysis 1 (1), 1-26, 2023 | 11 | 2023 |
| Recseats: A hybrid convolutional neural network choice model for seat recommendations at reserved seating venues T Moins, D Aloise, SJ Blanchard Proceedings of the 14th ACM Conference on Recommender Systems, 309-317, 2020 | 9 | 2020 |
| Reparameterization of extreme value framework for improved Bayesian workflow T Moins, J Arbel, S Girard, A Dutfoy Computational Statistics & Data Analysis 187, 107807, 2023 | 6 | 2023 |
| Discussion of the paper "Rank-Normalization, Folding, and Localization: An Improved for Assessing Convergence of MCMC'' T Moins, J Arbel, A Dutfoy, S Girard Bayesian Analysis 16 (2), 711--712, 2021 | 5 | 2021 |
| On Reparameterisations of the Poisson Process Model for Extremes in a Bayesian Framework T Moins, J Arbel, A Dutfoy, S Girard JDS 2021-52èmes Journées de Statistique de la Société Française de …, 2021 | 2 | 2021 |
| Bayesian computational methods for estimating extreme quantiles from environmental data T Moins Université Grenoble Alpes [2020-....], 2023 | | 2023 |
| Modèle Hybride Combinant Réseau De Neurones Convolutifs et Modèle Vasé Sur Le Choix Pour La Recommandation De Sièges T Moins Ecole Polytechnique, Montreal (Canada), 2020 | | 2020 |
| Détection de signaux émis par des protéines lors d’une expérience de localisation de particules uniques T Moins Inria Grenoble Rhône-Alpes, Equipe MISTIS, 2017 | | 2017 |
Julyan ArbelInriaVerified email at inria.fr
