27 citations · 29 across the 3 of their papers we have counts for
4 papers
Model Selection for Gaussian Mixture Models
Tao Huang, Heng Peng, Kun Zhang
This paper is concerned with an important issue in finite mixture modelling, the selection of the number of mixing components. We propose a new penalized likelihood method for mode…
Nonconcave Penalized Spline
Heng Peng
Regression spline is a useful tool in nonparametric regression. However, finding the optimal knot locations is a known difficult problem. In this article, we introduce the Non-conc…
Component Selection in the Additive Regression Model
Xia Cui, Heng Peng, Songqiao Wen +1
Similar to variable selection in the linear regression model, selecting significant components in the popular additive regression model is of great interest. However, such componen…
Nonconcave penalized likelihood with a diverging number of parameters
Jianqing Fan, Heng Peng
A class of variable selection procedures for parametric models via nonconcave penalized likelihood was proposed by Fan and Li to simultaneously estimate parameters and select impor…