Publications HAL

2023/01 Internet of Things – Outlier detection in non-stationary time series applied to sewer network monitoring

2022/04 Nature Communications – Sympathetic axonal sprouting induces changes in macrophage populations and protects against pancreatic cancer

2020/01 Astronomy and Astrophysics – A&A – Constraining the recent star formation history of galaxies: an approximate Bayesian computation approach

2019/01 Bioinformatics – ABC random forests for Bayesian parameter inference

2019/01 – Likelihood-free model choice

2019/01 Bernoulli – Consistency of the Adaptive Multiple Importance Sampling

2019/01 – Application of ABC to Infer the Genetic History of Pygmy Hunter-Gatherer Populations from Western Central Africa

2019/01 Bayesian Analysis – Bayesian Functional Linear Regression with Sparse Step Functions

2018/12 Journal of the Sfds – Simulation of stochastic models of structured population in population genetics under neutrality

2018/11 – Elicitation of Experts’ Knowledge for Functional Linear Regression

2017/05 – Bayesian Functional Linear Regression with Informative Prior Distribution

2017/04 Molecular Biology and Evolution – Deciphering the Routes of invasion of Drosophila suzukii by Means of ABC Random Forest.

2017/02 – Approximate Bayesian Computation using Random Forest

2017/01 – Bayesian functional linear regression with sparse step functions

2017/01 Theoretical Population Biology – Resampling: an improvement of Importance Sampling in varying population size models

2016/08 – Bayesian linear functional regression with sparse step function

2016/04 Stat – Hidden Gibbs random fields model selection using Block Likelihood Information Criterion

2016/01 Bioinformatics – Reliable ABC model choice via random forests

2015/06 – Resampling : an improvement in varying population size models

2015/06 – Interpretable Bayesian Functional Linear Regression

2014/10 Molecular Biology and Evolution – Maximum-Likelihood Inference of Population Size Contractions from Microsatellite Data

2014/09 Statistics and Computing – Adaptive ABC model choice and geometric summary statistics for hidden Gibbs random fields

2014/08 – Process for identifying rare events

2014/01 Bioinformatics – DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data.

2014/01 – Process for identifying rare events

2014/01 ESAIM: Proceedings – An overview on approximate bayesian computation

2013/07 Molecular Ecology – Estimation of population allele frequencies from next-generation sequencing data: pool-versus individual-based genotyping.

2013/06 – Demographic inference from genetic data : consideration of an epidemiological model and a combinaition of different types of markers

2013/06 Molecular Ecology – The effect of RAD allele dropout on the estimation of genetic variation within and between populations.

2013/05 – Demographic inference from genetic data : consideration of an epidemiological model and a combinaition of different types of markers

2013/01 Journal of Nonparametric Statistics – Estimation of density level sets with a given probability content

2013/01 Proceedings of the National Academy of Sciences of the United States of America – Bayesian computation via empirical likelihood.

2012/12 Advances in Applied Probability – The Normalized Graph Cut and Cheeger Constant: from Discrete to Continuous

2012/11 Statistics and Computing – Approximate Bayesian computational methods

2012/10 – Efficient learning in ABC algorithms

2012/09 Molecular Ecology Resources – Estimation of demo-genetic model probabilities with Approximate Bayesian Computation using linear discriminant analysis on summary statistics.

2012/08 – An overview on approximate bayesian computation

2012/06 – Maximum likelihood inference comparing sequence and allelic markers in a population of variable size: an Importance Sampling approach

2012/06 – Empirical likelihood for Bayesian inference in population genetics

2012/01 – Some discussions of D. Fearnhead and D. Prangle’s Read Paper “Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation

2011/01 Journal of Machine Learning Research – Operator norm convergence of spectral clustering on level sets

2010/12 ESAIM: Probability and Statistics – Large deviations and full Edgeworth expansions for finite Markov chains with applications to the analysis of genomic sequences

2010/01 ESAIM: Probability and Statistics – Large deviations and full Edgeworth expansions for finite Markov chains with applications to the analysis of genomic sequences

2010/01 – Convergence de la constante de Cheeger de graphes de voisinage.

2009/06 – Clustering by Estimation of Density Level Sets at a Fixed Probability

2009/01 – Estimation du nombre de clusters à l’aide de l’algorithme de clustering spectral

2004/12 – Estimations précises de grandes déviations et applications à la statistique des séquences biologiques