221 citations · 434 across the 31 of their papers we have counts for
5 papers · 1 filter
Exact Bayesian inference for off-line change-point detection in tree-structured graphical models
Loïc Schwaller, Stéphane Robin
We consider the problem of change-point detection in multivariate time-series. The multivariate distribution of the observations is supposed to follow a graphical model, whose grap…
Exact and approximate inference in graphical models: variable elimination and beyond
Nathalie Peyrard, Marie-Josée Cros, Simon de Givry +5
Probabilistic graphical models offer a powerful framework to account for the dependence structure between variables, which is represented as a graph. However, the dependence betwee…
A closed-form approach to Bayesian inference in tree-structured graphical models
Loïc Schwaller, Stéphane Robin, Michael Stumpf
We consider the inference of the structure of an undirected graphical model in an exact Bayesian framework. More specifically we aim at achieving the inference with close-form post…
Hidden Markov Models with mixtures as emission distributions
Stevenn Volant, Caroline Bérard, Marie-Laure Martin-Magniette +1
In unsupervised classification, Hidden Markov Models (HMM) are used to account for a neighborhood structure between observations. The emission distributions are often supposed to b…
Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency
Stevenn Volant, Marie-Laure Martin Magniette, Stéphane Robin
We consider a binary unsupervised classification problem where each observation is associated with an unobserved label that we want to retrieve. More precisely, we assume that ther…