3 papers
stat.CO2026
SEMMS with Random Effects: A Mixed-Model Extension for Variable Selection in Clustered and Longitudinal Data
Haim Bar, Martin T. Wells
SEMMS (Scalable Empirical-Bayes Model for Marker Selection) is a variable-selection procedure for generalized linear models that uses a three-component normal mixture prior on regr…
stat.AP2026
A Time-Varying Branching Process Approach to Model Self-Renewing Cells
Huyen Nguyen, Haim Bar, Zhiyi Chi +1
Stem cells, through their ability to produce daughter stem cells and differentiate into specialized cells, are essential in the growth, maintenance, and repair of biological tissue…
stat.AP2025
A State Model for the Analysis of Stem Cell Proliferation and Differentiation
Haim Bar, Huyen Nguyen, Joanne Conover
Stem cells are characterized by their ability to self-renew, as well as to differentiate and give rise to new populations of cells. Stem cell divisions are crucial for generative p…