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08/28/2023
Hoeffding-type decomposition for U-statistics on bipartite networks
We consider a broad class of random bipartite networks, the distribution...
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11/15/2022
A robust model-based clustering based on the geometric median and the Median Covariation Matrix
Grouping observations into homogeneous groups is a recurrent task in sta...
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04/29/2021
Querying multiple sets of p-values through composed hypothesis testing
Motivation: Combining the results of different experiments to exhibit co...
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01/27/2021
Motif-based tests for bipartite networks
Bipartite networks are a natural representation of the interactions betw...
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10/08/2020
Mixture-based estimation of entropy
The entropy is a measure of uncertainty that plays a central role in inf...
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07/28/2020
Accounting for missing actors in interaction network inference from abundance data
Network inference aims at unraveling the dependency structure relating j...
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07/23/2019
Bayesian inference for network Poisson models
This work is motivated by the analysis of ecological interaction network...
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05/07/2019
Tree-based Reconstruction of Ecological Network from Abundance Data
The behavior of ecological systems mainly relies on the interactions bet...
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06/08/2018
Variational inference for sparse network reconstruction from count data
In multivariate statistics, the question of finding direct interactions ...
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03/25/2016
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...
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06/29/2015
Exact and approximate inference in graphical models: variable elimination and beyond
Probabilistic graphical models offer a powerful framework to account for...
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04/10/2015
A closed-form approach to Bayesian inference in tree-structured graphical models
We consider the inference of the structure of an undirected graphical mo...
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06/22/2012
Hidden Markov Models with mixtures as emission distributions
In unsupervised classification, Hidden Markov Models (HMM) are used to a...
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05/04/2011
