Generalized linear latent variable models (GLLVMs) are a class of method...
We introduce a new sparse sliced inverse regression estimator called Cho...
Microarray studies, in order to identify genes associated with an outcom...
Unmeasured or latent variables are often the cause of correlations betwe...
A statistical model is a mathematical representation of an often simplif...
Semiparametric regression offers a flexible framework for modeling non-l...