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...
Bayesian Survival Analysis Using Bernstein Polynomials
I-SHOU CHANG, CHAO A. HSIUNG, YUH-JENN WU, CHE-CHI YANG
Bayesian survival analysis of right-censored survival data is studied using priors on Bernstein polynomials and Markov chain Monte Carlo methods. These priors easily take into consideration geometric...
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...