4 citations · 5 across the 3 of their papers we have counts for
3 papers
Bayesian mixture models (in)consistency for the number of clusters
Louise Alamichel, Daria Bystrova, Julyan Arbel +1
Bayesian nonparametric mixture models are common for modeling complex data. While these models are well-suited for density estimation, recent results proved posterior inconsistency…
Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm
Marion Naveau, Guillaume Kon Kam King, Renaud Rincent +2
High-dimensional variable selection, with many more covariates than observations, is widely documented in standard regression models, but there are still few tools to address it in…
Hierarchical modelling of species sensitivity distribution: development and application to the case of diatoms exposed to several herbicides
Guillaume Kon Kam King, Floriane Larras, Sandrine Charles +1
The Species Sensitivity Distribution (SSD) is a key tool to assess the ecotoxicological threat of contaminant to biodiversity. It predicts safe concentrations for a contaminant in…