3 papers
stat.ME2026
Stochastic EM Estimation and Inference for Zero-Inflated Beta-Binomial Mixed Models for Longitudinal Count Data
John Barrera, Ana Arribas-Gil, Dae-Jin Lee +1
Analyzing overdispersed, zero-inflated, longitudinal count data poses significant modeling and computational challenges, which standard count models (e.g., Poisson or negative bino…
stat.ME2025
A stochastic method to estimate a zero-inflated two-part mixed model for human microbiome data
John Barrera, Cristian Meza, Ana Arribas-Gil
Human microbiome studies based on genetic sequencing techniques produce compositional longitudinal data of the relative abundances of microbial taxa over time, allowing to understa…
stat.ME2025
Conditional GLMMs for reaction times in choice tasks
Mauricio Tejo, Cristian Meza, Fernando Marmolejo-Ramos
This study connects two methods for modeling reaction times (RTs) in choice tasks: (1) the first-hitting time of a simple diffusion model with a single barrier, representing the co…