29 citations · 47 across the 10 of their papers we have counts for
11 papers
Model-based Clustering with Missing Not At Random Data
Aude Sportisse, Matthieu Marbac, Fabien Laporte +4
Model-based unsupervised learning, as any learning task, stalls as soon as missing data occurs. This is even more true when the missing data are informative, or said missing not at…
Model Selection for Mixture Models - Perspectives and Strategies
Gilles Celeux, Sylvia Fruewirth-Schnatter, Christian P. Robert
Determining the number G of components in a finite mixture distribution is an important and difficult inference issue. This is a most important question, because statistical infere…
Computational Solutions for Bayesian Inference in Mixture Models
Gilles Celeux, Kaniav Kamary, Gertraud Malsiner-Walli +2
This chapter surveys the most standard Monte Carlo methods available for simulating from a posterior distribution associated with a mixture and conducts some experiments about the…
A penalty criterion for score forecasting in soccer
Jean-Louis Foulley, Gilles Celeux
This note proposes a penalty criterion for assessing correct score forecasting in a soccer match. The penalty is based on hierarchical priorities for such a forecast i.e., i) Win,…
Empirical Bayes approaches to PageRank type algorithms for rating scientific journals
Jean-Louis Foulley, Gilles Celeux, Julie Josse
Following criticisms against the journal Impact Factor, new journal influence scores have been developed such as the Eigenfactor or the Prestige Scimago Journal Rank. They are base…
Some discussions on the Read Paper "Beyond subjective and objective in statistics" by A. Gelman and C. Hennig
Gilles Celeux, Jack Jewson, Julie Josse +2
This note is a collection of several discussions of the paper "Beyond subjective and objective in statistics", read by A. Gelman and C. Hennig to the Royal Statistical Society on A…