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Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 381, 页码: 110-128
Authors:  Yan, Liang;  Zhou, Tao
Favorite  |  View/Download:10/0  |  Submit date:2019/03/11
Bayesian inverse problems  Multi-fidelity polynomial chaos  Surrogate modeling  Markov chain Monte Carlo  
Bayesian Neural Networks for Selection of Drug Sensitive Genes 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2018, 卷号: 113, 期号: 523, 页码: 955-972
Authors:  Liang, Faming;  Li, Qizhai;  Zhou, Lei
Favorite  |  View/Download:11/0  |  Submit date:2018/11/16
Cancer cell line encyclopedia  Nonlinear variable selection  Omics data  OpenMP  Parallel Markov chain Monte Carlo  
A baseline-free procedure for transformation models under interval censorship 期刊论文
LIFETIME DATA ANALYSIS, 2005, 卷号: 11, 期号: 4, 页码: 473-488
Authors:  Gu, MG;  Sun, LQ;  Zuo, GX
Favorite  |  View/Download:3/0  |  Submit date:2018/07/30
interval censored data  marginal likelihood  Markov chain Monte Carlo methods  semiparametric models  stochastic approximation  transformation models  
A universal procedure for parametric frailty models 期刊论文
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2004, 卷号: 74, 期号: 1, 页码: 1-13
Authors:  Gu, MG;  Sun, LQ;  Huang, CQ
Favorite  |  View/Download:5/0  |  Submit date:2018/07/30
censored survival data  frailty models  general parameter families  Markov chain Monte Carlo methods  stochastic approximation