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Exact Bayesian inference for off-line change-point detection in tree-structured graphical models
We consider the problem of change-point detection in multivariate time-s...
03/25/2016 ∙ by Loïc Schwaller, et al. ∙
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Exact and approximate inference in graphical models: variable elimination and beyond
Probabilistic graphical models offer a powerful framework to account for...
06/29/2015 ∙ by Nathalie Peyrard, et al. ∙
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A closed-form approach to Bayesian inference in tree-structured graphical models
We consider the inference of the structure of an undirected graphical mo...
04/10/2015 ∙ by Loïc Schwaller, et al. ∙
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Hidden Markov Models with mixtures as emission distributions
In unsupervised classification, Hidden Markov Models (HMM) are used to a...
06/22/2012 ∙ by Stevenn Volant, et al. ∙
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Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency
We consider a binary unsupervised classification problem where each obse...
05/04/2011 ∙ by Stevenn Volant, et al. ∙
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Variational inference for sparse network reconstruction from count data
In multivariate statistics, the question of finding direct interactions ...
06/08/2018 ∙ by Julien Chiquet, et al. ∙
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Tree-based Reconstruction of Ecological Network from Abundance Data
The behavior of ecological systems mainly relies on the interactions bet...
05/07/2019 ∙ by Raphaëlle Momal, et al. ∙
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Bayesian inference for network Poisson models
This work is motivated by the analysis of ecological interaction network...
07/23/2019 ∙ by Sophie Donnet, et al. ∙
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