18 citations · 44 across the 14 of their papers we have counts for
14 papers
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…
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…
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…
High Dimensional Space Oddity
Haim Bar, Vladimir Pozdnyakov
In his 1996 paper, Talagrand highlighted that the Law of Large Numbers (LLN) for independent random variables can be viewed as a geometric property of multidimensional product spac…
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features
Megan A. Witherow, Manar D. Samad, Norou Diawara +2
Imaging of facial affects may be used to measure psychophysiological attributes of children through their adulthood for applications in education, healthcare, and entertainment, am…
On Graphical Models and Convex Geometry
Haim Bar, Martin T. Wells
We introduce a mixture-model of beta distributions to identify significant correlations among predictors when is large. The method relies on theorems in convex geometry, wh…