The general idea of this article is to develop a Bayesian model with a
f...
We consider unsupervised classification by means of a latent multinomial...
It is often of interest to combine available estimates of a similar quan...
Motivated by recent work involving the analysis of biomedical imaging da...
This paper focuses on the problem of modeling and estimating interaction...
A novel functional additive model is proposed which is uniquely modified...
Sparse additive modeling is a class of effective methods for performing
...
Dimension reduction lies at the heart of many statistical methods. In
re...