Xiao-Li Meng

Statistics and Probability · American Journal of Psychiatry · 1996–2021

A researcher in the Science corpus: 15 papers; trusts 33 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 65 citations into it; #995 of 12,932 by trust here, #786 by citations
• Probabilistic & Bayesian Methods — 41 citations into it; #979 of 1,525 by trust here, #558 by citations
• Artificial Intelligence — 35 citations into it; #4,062 of 35,345 by trust here, #6,103 by citations
• Social Psychology — 9 citations into it; #15,022 of 15,694 by trust here, #9,664 by citations
• Sociology and Political Science — 9 citations into it
• Health — 8 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Xiao-Li Meng trusts overall

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

1. Andrew Gelman
2. Donald B. Rubin
3. Charles H. Bennett
4. Siddhartha Chib
5. Alan E. Gelfand
6. Julian Besag
7. Jim Albert
8. Gareth O. Roberts
9. Omiros Papaspiliopoulos
10. Arthur P. Dempster

Who trusts Xiao-Li Meng overall

1. Andrew Gelman
2. Radford M. Neal
3. Sik-Yum Lee
4. Jesper Møller
5. Paul-Christian Burkner
6. David M. Blei
7. Valen E. Johnson
8. Mark A. Girolami
9. Kasper K. Berthelsen
10. Nial Friel

Papers from Xiao-Li Meng's perspective

Ordered by how strongly the researchers Xiao-Li Meng trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
2. Bayesian analysis of binary and polychotomous response data
3. Bayesian Model Choice: Asymptotics and Exact Calculations
4. Sampling-Based Approaches to Calculating Marginal Densities
5. INFERENCE AND MISSING DATA
6. Inference from Iterative Simulation Using Multiple Sequences
7. Spatial Interaction and the Statistical Analysis of Lattice Systems
8. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
9. Sequential Monte Carlo samplers
10. Monte Carlo strategies in scientific computing

Their papers

• The Art of Data Augmentation (2001) — 1,147 citations
• Warp Bridge Sampling (2002) — 139 citations
• To Center or Not to Center: That Is Not the Question—An Ancillarity–Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Efficiency (2011) — 242 citations
• Handbook of Markov Chain Monte Carlo: Hardcover: 619 pages Publisher: Chapman and Hall/CRC Press (first edition, May 2011) Language: English ISBN-10: 1420079417 (2012) — 1,845 citations
• Considering context, place and culture: the National Latino and Asian American Study (2004) — 686 citations
• Disparity in Depression Treatment among Racial and Ethnic Minority Populations in the United States (2008) — 900 citations
• Statistical paradises and paradoxes in big data (I): Law of large populations, big data paradox, and the 2016 US presidential election (2018) — 295 citations
• ASA President’s Task Force Statement on Statistical Significance and Replicability (2021) — 49 citations
• Desired and Feared—What Do We Do Now and Over the Next 50 Years? (2009) — 59 citations
• Disparities in Defining Disparities: Statistical Conceptual Frameworks (2008) — 46 citations
• Prevalence of mental illness in immigrant and non-immigrant U.S. Latino groups. (2008) — 961 citations
• From Unit Root to Stein’s Estimator to Fisher’s k Statistics: If You Have a Moment, I Can Tell You More (2005) — 55 citations
• Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage (2000) — 717 citations
• Simulating Normalizing Constants: From Importance Sampling to Bridge Sampling to Path Sampling (1998)
• POSTERIOR PREDICTIVE ASSESSMENT OF MODEL FITNESS VIA REALIZED DISCREPANCIES (1996)