17 citations · 17 across the 3 of their papers we have counts for
4 papers
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…
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…
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…
hmmSeq: A hidden Markov model for detecting differentially expressed genes from RNA-seq data
Shiqi Cui, Subharup Guha, Marco A. R. Ferreira +1
We introduce hmmSeq, a model-based hierarchical Bayesian technique for detecting differentially expressed genes from RNA-seq data. Our novel hmmSeq methodology uses hidden Markov m…