871 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR34 papers
- Lyon 1 UniversitéFR33 papers
- Université de LyonFR14 papers
- Institut national de recherche en sciences et technologies du numériqueFR10 papers
- École Normale Supérieure de LyonFR6 papers
- Centre Inria de l'Université Grenoble AlpesFR5 papers
- Université Grenoble AlpesFR5 papers
- Institut polytechnique de GrenobleFR4 papers
- Laboratoire de Probabilités, Statistique et ModélisationFR4 papers
- Sorbonne UniversitéFR4 papers
- Université de MontpellierFR4 papers
- Université Paris CitéFR4 papers
7 papers · 1 filter
Zero-inflation in the Multivariate Poisson Lognormal Family
Bastien Batardière, Julien Chiquet, François Gindraud +1
Analyzing high-dimensional count data is a challenge and statistical model-based approaches provide an adequate and efficient framework that preserves explainability. The (multivar…
Uniform Deconvolution for Poisson Point Processes
Anna Bonnet, Claire Lacour, Franck Picard +1
We focus on the estimation of the intensity of a Poisson process in the presence of a uniform noise. We propose a kernel-based procedure fully calibrated in theory and practice. We…
Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis
Ghislain Durif, Laurent Modolo, Jeff E. Mold +2
The development of high throughput single-cell sequencing technologies now allows the investigation of the population level diversity of cellular transcriptomes. This diversity has…
Minimax wavelet estimation for multisample heteroscedastic non-parametric regression
Madison Giacofc, Sophie Lambert-Lacroix, Franck Picard
The problem of estimating the baseline signal from multisample noisy curves is investigated. We consider the functional mixed effects model, and we suppose that the functional fixe…
Statistical clustering of temporal networks through a dynamic stochastic block model
Catherine Matias, Vincent Miele
Statistical node clustering in discrete time dynamic networks is an emerging field that raises many challenges. Here, we explore statistical properties and frequentist inference in…
High Dimensional Classification with combined Adaptive Sparse PLS and Logistic Regression
G. Durif, L. Modolo, J. Michaelsson +3
Motivation: The high dimensionality of genomic data calls for the development of specific classification methodologies, especially to prevent over-optimistic predictions. This chal…
Adaptive Lasso and group-Lasso for functional Poisson regression
S. Ivanoff, F. Picard, V. Rivoirard
High dimensional Poisson regression has become a standard framework for the analysis of massive counts datasets. In this work we estimate the intensity function of the Poisson regr…