3 papers
stat.ME2025
What is in the model? A Comparison of variable selection criteria and model search approaches
Shuangshuang Xu, Marco A. R. Ferreira, Allison N. Tegge
For many scientific questions, understanding the underlying mechanism is the goal. To help investigators better understand the underlying mechanism, variable selection is a crucial…
stat.ME2025
Bayesian Dynamic Clustering Factor Models
Tsering Dolkar, Marco A. R. Ferreira, Hwasoo Shin +1
We propose novel Bayesian Dynamic Clustering Factor Models (BDCFM) for the analysis of multivariate longitudinal data. BDCFM combines factor models with hidden Markov models to con…
stat.ME2025
Bayesian Clustering Factor Models
Hwasoo Shin, Marco A. R. Ferreira, Allison N. Tegge
We present a novel framework for concomitant dimension reduction and clustering. This framework is based on a novel class of Bayesian clustering factor models. These models assume…