Ming-Hui Chen

Statistics and Probability · 1997–2015

A researcher in the Science corpus: 19 papers; trusts 8 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 31 citations into it; #1,784 of 12,932 by trust here, #1,887 by citations
• Artificial Intelligence — 8 citations into it; #8,809 of 35,345 by trust here, #14,438 by citations
• Probabilistic & Bayesian Methods — 7 citations into it
• Genetics — 6 citations into it; #1,568 of 6,854 by trust here, #3,435 by citations
• Molecular Biology — 5 citations into it; #9,313 of 17,773 by trust here, #12,008 by citations

Whom Ming-Hui Chen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Joseph G. Ibrahim
2. Persi Diaconis
3. Chuanhai Liu
4. Andrew Gelman
5. Donald B. Rubin
6. S. Geisser
7. James O. Berger
8. Debajyoti Sinha
9. James M. Robins
10. J. C. Pinheiro

Who trusts Ming-Hui Chen overall

1. Joseph G. Ibrahim
2. Mark F. J. Steel
3. Sik-Yum Lee
4. K. Pollock
5. Yingbo Li
6. Christian P. Robert
7. C. O'Donnell
8. Nicolas Chopin
9. Jonathan R. Bradley
10. Rampal S. Etienne

Papers from Ming-Hui Chen's perspective

Ordered by how strongly the researchers Ming-Hui Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Monte Carlo Methods in Bayesian Computation
2. Inference from Iterative Simulation Using Multiple Sequences
3. Bayesian Variable Selection in Linear Regression
4. Simulating Normalizing Constants: From Importance Sampling to Bridge Sampling to Path Sampling
5. Optimal Information Processing and Bayes's Theorem
6. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
7. The relationship between the power prior and hierarchical models
8. Hierarchical Commensurate and Power Prior Models for Adaptive Incorporation of Historical Information in Clinical Trials (Biometrics)
9. Bayesian Approaches to Clinical Trials and Health‐Care Evaluation
10. Bayesian Adaptive Methods for Clinical Trials

Their papers

• Improving marginal likelihood estimation for Bayesian phylogenetic model selection. (2011) — 995 citations
• Power prior distributions for regression models (2000) — 817 citations
• The relationship between the power prior and hierarchical models (2006) — 102 citations
• Monte Carlo Methods in Bayesian Computation (2000) — 367 citations
• Missing responses in generalised linear mixed models when the missing data mechanism is nonignorable (2001) — 239 citations
• Bayesian methods for generalized linear models with covariates missing at random (2002) — 109 citations
• On Optimality Properties of the Power Prior (2003) — 117 citations
• Power prior distributions for generalized linear models (2000) — 98 citations
• Prior elicitation for model selection and estimation in generalized linear mixed models (2003) — 47 citations
• Propriety of posterior distribution for dichotomous quantal response models (2000) — 68 citations
• The Power Prior: Theory and Applications (2015) — 326 citations
• Marital status and survival in patients with cancer. (2013) — 945 citations
• Likelihood-based Inference For Mixed-effects Models With Censored Response Using The Multivariate-t Distribution (2013) — 70 citations
• Flexible generalized t-link models for binary response data (2008) — 89 citations
• Androgen suppression and radiation vs radiation alone for prostate cancer: a randomized trial. (2008) — 731 citations
• Bayesian Survival Analysis (2004) — 560 citations
• A Bayesian justification of Cox's partial likelihood (2003) — 94 citations
• Conjugate priors for generalized linear models (2003) — 84 citations
• Bayesian Approach for Nonlinear Random Effects Models (1997)