activity
20092026
most citedUncovering latent structure in valued graphs: A variational approach

221 citations · 360 across the 12 of their papers we have counts for

collaborators

14 papers

stat.ME2026

Leveraging hologenomic data for phenotypic prediction: potential and pitfalls

Sol{è}ne Pety, Ingrid David, Andrea Rau +1

The microbiota is increasingly recognized as an active component of host biology, influencing various host phenotypes. Advances in high-throughput sequencing and the emergence of t…

stat.ME2025

Simulating transgenerational hologenomes under selection with RITHMS

Solène Pety, Ingrid David, Andrea Rau +1

A holobiont is made up of a host organism together with its microbiota. In the context of animal breeding, the holobiont can be viewed as the single unit upon which selection opera…

stat.ME2024

Evaluating Parameter Uncertainty in the Poisson Lognormal Model with Corrected Variational Estimators

Bastien Batardière, Julien Chiquet, Mahendra Mariadassou

Count data analysis is essential across diverse fields, from ecology and accident analysis to single-cell RNA sequencing (scRNA-seq) and metagenomics. While log transformations are…

stat.ME2024★ 1 cited

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…

stat.AP2020★ 4 cited

Hierarchical correction of p-values via an ultrametric tree running Ornstein-Uhlenbeck process

Antoine Bichat, Christophe Ambroise, Mahendra Mariadassou

Statistical testing is classically used as an exploratory tool to search for association between a phenotype and many possible explanatory variables. This approach often leads to m…

math.ST2019★ 9 cited

Consistency and Asymptotic Normality of Stochastic Block Models Estimators from Sampled Data

Mahendra Mariadassou, Timothée Tabouy

Statistical analysis of network is an active research area and the literature counts a lot of papers concerned with network models and statistical analysis of networks. However, ve…