This paper introduces a novel self-consistency clustering algorithm
(K-T...
The general idea of this article is to develop a Bayesian model with a
f...
A pressing challenge in medical research is to identify optimal treatmen...
We consider unsupervised classification by means of a latent multinomial...
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...