Shape restricted regression with random Bernstein polynomials (2007)
Chang, I-Shou, Chien, Li-Chu, Hsiung, Chao A., Wen, Chi-Chung, Wu, Yuh-Jenn
Shape restricted regressions, including isotonic regression and concave regression as special cases, are studied using priors on Bernstein polynomials and Markov chain Monte Carlo methods. These...
A Bayes Regression Approach to Array-CGH Data (2006)
Wen, Chi-Chung, Wu, Yuh-Jenn, Huang, Yung-Hsiang, Chen, Wei-Chen, Liu, Shu-Chen, Jiang, Shih Sheng, ...
This paper develops a Bayes regression model having change points for the analysis of array-CGH data by utilizing not only the underlying spatial structure of the genomic alterations but also the...
A Bayes Regression Approach to Array-CGH Data (2006)
Wen, Chi-Chung, Wu, Yuh-Jenn, Huang, Yung-Hsiang, Chen, Wei-Chen, Liu, Shu-Chen, Jiang, Shih Sheng, ...
This paper develops a Bayes regression model having change points for the analysis of array-CGH data by utilizing not only the underlying spatial structure of the genomic alterations but also the...
A Bayes Regression Approach to Array-CGH Data (2006)
Wen, Chi-Chung, Wu, Yuh-Jenn, Huang, Yung-Hsiang, Chen, Wei-Chen, Liu, Shu-Chen, Jiang, Shih Sheng, ...
This paper develops a Bayes regression model having change points for the analysis of array-CGH data by utilizing not only the underlying spatial structure of the genomic alterations but also the...
A Bayes Regression Approach to Array-CGH Data (2006)
Wen, Chi-Chung, Wu, Yuh-Jenn, Huang, Yung-Hsiang, Chen, Wei-Chen, Liu, Shu-Chen, Jiang, Shih Sheng, ...
This paper develops a Bayes regression model having change points for the analysis of array-CGH data by utilizing not only the underlying spatial structure of the genomic alterations but also the...
An asymptotic theory for the nonparametric maximum likelihood estimator in the Cox gene model (2005)
Chang, I-Shou, Agnes Hsiung, Chao, Wang, Mei-Chuan, Wen, Chi-Chung
The Cox model with a gene effect for age at onset was introduced and studied by Li, Thompson and Wijsman. We study the nonparametric maximum likelihood estimation of the gene effect and the...
Jiang, Shih Sheng, Chang, I-Shou, Huang, Lin-Wei, Chen, Po-Cheng, Wen, Chi-Chung, Liu, Shu-Chen, ...
Baculoviruses, a family of large, rod-shaped viruses that mainly infect lepidopteran insects, have been widely used to transduce various cells for exogenous gene expression. Nonetheless, how a virus...
I-SHOU CHANG, CHAO A. HSIUNG, CHI-CHUNG WEN, YUH-JENN WU, CHE-CHI YANG
This paper describes our studies on non-parametric maximum-likelihood estimators in a semiparametric mixture model for competing-risks data, in which proportional hazards models are specified for...
A Bayes Regression Approach to Array-CGH Data
Chi-Chung Wen, Yuh-Jenn Wu, Yung-Hsiang Huang, Wei-Chen Chen, Shu-Chen Liu, Shih Sheng Jiang, ...
This paper develops a Bayes regression model having change points for the analysis of array-CGH data by utilizing not only the underlying spatial structure of the genomic alterations but also the...