In this paper, we consider sufficient dimension folding for the regression mean function when predictors are matrix-or array-valued.We propose a new concept
In this paper, we consider the variable selection problem in semiparametric additive partially linear models for longitudinal data.Our goal is to identify r
Hidden Markov models provide a natural statistical framework for the detection of the copy number variations (CNV) in genomics.In this paper,we consider a H
Spatial data analysis has become more and more important in the studies of ecology and economics during the last decade.One focus of spatial data analysis i
The traditional (plug-in) return for the Markowitz mean-variance (MV) optimization has been demonstrated to seriously overestimate the theoretical optimal r