Xiao‐li Meng

Xiao‐li Meng's AcademicInfluence.com Rankings

Xiao‐li Meng

Mathematics

#6373

World Rank

#8837

Historical Rank

Statistics

#590

World Rank

#671

Historical Rank

mathematics Degrees

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Mathematics

Xiao‐li Meng's Degrees

Bachelors Mathematics Fudan University

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Xiao‐li Meng's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Handbook of Markov Chain Monte Carlo (2011) (2422)
Comparing correlated correlation coefficients (1992) (2346)
POSTERIOR PREDICTIVE ASSESSMENT OF MODEL FITNESS VIA REALIZED DISCREPANCIES (1996) (2140)
Maximum likelihood estimation via the ECM algorithm: A general framework (1993) (1855)
Simulating Normalizing Constants: From Importance Sampling to Bridge Sampling to Path Sampling (1998) (1019)
Prevalence of mental illness in immigrant and non-immigrant U.S. Latino groups. (2008) (892)
The EM Algorithm—an Old Folk‐song Sung to a Fast New Tune (1997) (836)
The Art of Data Augmentation (2001) (825)
Multiple-Imputation Inferences with Uncongenial Sources of Input (1994) (794)
Disparity in depression treatment among racial and ethnic minority populations in the United States. (2008) (792)
SIMULATING RATIOS OF NORMALIZING CONSTANTS VIA A SIMPLE IDENTITY: A THEORETICAL EXPLORATION (1996) (785)
Posterior Predictive $p$-Values (1994) (752)
Considering context, place and culture: the National Latino and Asian American Study (2004) (649)
Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage (2000) (638)
Using EM to Obtain Asymptotic Variance-Covariance Matrices: The SEM Algorithm (1991) (596)
Applications of multiple imputation in medical studies: from AIDS to NHANES (1999) (348)
Performing likelihood ratio tests with multiply-imputed data sets (1992) (330)
Prevalence and correlates of eating disorders in Latinos in the United States. (2007) (251)
Significance levels from repeated p-values with multiply imputed data (1991) (243)
To Center or Not to Center: That Is Not the Question—An Ancillarity–Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Efficiency (2011) (206)
Seeking efficient data augmentation schemes via conditional and marginal augmentation (1999) (190)
Statistical paradises and paradoxes in big data (I): Law of large populations, big data paradox, and the 2016 US presidential election (2018) (164)
Fitting Full-Information Item Factor Models and an Empirical Investigation of Bridge Sampling (1996) (162)
On the rate of convergence of the ECM algorithm (1994) (126)
Discussion on the paper by Spiegelhalter, Best, Carlin and van der Linde (2002) (124)
[Optimization Transfer Using Surrogate Objective Functions]: Discussion (2000) (119)
Warp Bridge Sampling (2002) (117)
STRONG LENS TIME DELAY CHALLENGE. II. RESULTS OF TDC1 (2014) (113)
On the global and componentwise rates of convergence of the EM algorithm (1994) (90)
Unrepresentative big surveys significantly overestimated US vaccine uptake (2021) (85)
Posterior Predictive Assessment of Model Fitnessvia Realized (1995) (83)
Ten Simple Rules for Effective Statistical Practice (2016) (78)
Correlation Curves as Local Measures of Variance Explained by Regression (1994) (74)
The impact of insurance coverage in diminishing racial and ethnic disparities in behavioral health services. (2012) (73)
A Note on Bivariate Distributions That are Conditionally Normal (1991) (70)
Desired and Feared—What Do We Do Now and Over the Next 50 Years? (2009) (61)
Multiprocess parallel antithetic coupling for backward and forward Markov Chain Monte Carlo (2005) (59)
From Unit Root to Stein’s Estimator to Fisher’s k Statistics: If You Have a Moment, I Can Tell You More (2005) (53)
Dissecting multiple imputation from a multi-phase inference perspective: what happens when God’s, imputer’s and analyst’s models are uncongenial? (2016) (47)
The AIDS Epidemic: Estimating Survival After AIDS Diagnosis From Surveillance Data (1993) (45)
A Framework for wavelet-Based Analysis and Processing of Color Filter Array Images with Applications to Denoising and Demosaicing (2007) (45)
Single observation unbiased priors (2002) (38)
Missing Data: Dial M for ??? (2000) (38)
Statistical inference and Monte Carlo algorithms (1996) (34)
ACCOUNTING FOR CALIBRATION UNCERTAINTIES IN X-RAY ANALYSIS: EFFECTIVE AREAS IN SPECTRAL FITTING (2011) (34)
An unexpected encounter with Cauchy and L\'evy (2015) (33)
There is Individualized Treatment. Why Not Individualized Inference (2015) (33)
A Trio of Inference Problems That Could Win You a Nobel Prize in Statistics (If You Help Fund It) (2014) (33)
Decoding the H-likelihood (2009) (33)
Cross-fertilizing strategies for better EM mountain climbing and DA field exploration: A graphical guide book (2010) (32)
Judicious Judgment Meets Unsettling Updating: Dilation, Sure Loss and Simpson’s Paradox (2017) (29)
The potential and perils of preprocessing: Building new foundations (2013) (29)
An Empirical Bayes Em-Wavelet Unification for Simultaneous Denoising, Interpolation, and/Or Demosaicing (2006) (28)
Disparities in defining disparities: Statistical conceptual frameworks (2008) (27)
I Got More Data, My Model is More Refined, but My Estimator is Getting Worse! Am I Just Dumb? (2014) (26)
A BAYESIAN MULTIRESOLUTION HAZARD MODEL WITH APPLICATION TO AN AIDS REPORTING DELAY STUDY (2005) (25)
Large-Sample Properties for a General Estimator of the Treatment Effect in the Two-Sample Problem with Right Censoring (1991) (24)
Perfection within Reach: Exact MCMC Sampling (2011) (23)
Efficient Methods for Estimation and Testing with Seemingly Unrelated Regressions in the Presence of Latent Variables and Missing Observations (1996) (22)
A Repelling–Attracting Metropolis Algorithm for Multimodality (2016) (22)
On the Orderings and Groupings of Conditional Maximizations Within ECM-Type Algorithms (1997) (21)
ASA President’s Task Force Statement on Statistical Significance and Replicability (2021) (20)
Discussion: Efficiency and Self‐efficiency With Multiple Imputation Inference (2003) (19)
Being an informed Bayesian: Assessing prior informativeness and prior likelihood conflict (2014) (19)
A self-consistent wavelet method for denoising images with missing pixels (2005) (18)
Bayesian estimates of astronomical time delays between gravitationally lensed stochastic light curves (2016) (18)
A FULLY BAYESIAN METHOD FOR JOINTLY FITTING INSTRUMENTAL CALIBRATION AND X-RAY SPECTRAL MODELS (2014) (17)
On the absolute bias ratio of ratio estimators (1993) (17)
Congenial Differential Privacy under Mandated Disclosure (2020) (15)
Rejoinder: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies (2008) (15)
Comment: A Fruitful Resolution to Simpson’s Paradox via Multiresolution Inference (2014) (14)
A general estimator of the treatment effect when the data are heavily censored (1991) (13)
A Multiresolution Hazard Model for Multicenter Survival Studies (2007) (13)
Antithetic Coupling for Perfect Sampling (2000) (12)
Prior sample size extensions for assessing prior impact and prior‐likelihood discordance (2014) (12)
Warp Bridge Sampling: The Next Generation (2016) (11)
Two slice-EM algorithms for fitting generalized linear mixed models with binary response (2005) (10)
Strength in Numbers: The Rising of Academic Statistics Departments in the U. S. (2012) (9)
A Nonlinear Hierarchical Model for Estimating Prevalence Rates with Small Samples (2005) (9)
Towards Perfect Sampling for Bayesian Mixture Priors (2001) (9)
Challenges and Advances in High Dimensional and High Complexity Monte Carlo Computation and Theory (2012) (9)
Conducting Highly Principled Data Science: A Statistician's Job and Joy (2017) (8)
Discussion: One-step sparse estimates in nonconcave penalized likelihood models: Who cares if it is a white cat or a black cat? (2008) (8)
Multiple Improvements of Multiple Imputation Likelihood Ratio Tests (2017) (8)
Reproducibility, Replicability, and Reliability (2020) (8)
Statistics Can Lie But Can Also Correct for Lies: Reducing Response Bias in NLAAS via Bayesian Imputation (2013) (7)
A Multi-resolution Theory for Approximating Infinite-p-Zero-n: Transitional Inference, Individualized Predictions, and a World Without Bias-Variance Tradeoff (2020) (7)
Enhancing (publications on) data quality: Deeper data minding and fuller data confession (2021) (7)
Sampling bias and logistic models - Discussion (2008) (7)
The Next Decade of Astroinformatics and Astrostatistics (2019) (6)
Calibration Concordance for Astronomical Instruments via Multiplicative Shrinkage (2017) (6)
STRONG LENS TIME DELAY CHALLENGE : II (2014) (6)
Self Consistency: A General Recipe for Wavelet Estimation With Irregularly-spaced and/or Incomplete Data (2007) (6)
Double Happiness: Enhancing the Coupled Gains of L-lag Coupling via Control Variates. (2020) (6)
FURTHER EXPLORATIONS OF LIKELIHOOD THEORY FOR MONTE CARLO INTEGRATION (2007) (6)
Multi-process Parallel Antithetic Coupling For Backward and Forward Markov Chain Monte Carlo ∗ (2000) (5)
You want me to analyze data I don't have? Are you insane? (2012) (5)
Prevalence and Correlates of Eating Disorders in Latinos in the U.S (2016) (5)
Multi-Party Inference and Uncongeniality (2011) (5)
AP statistics: passion, paradox and pressure (part II) (2010) (5)
Highlights of the US National Academies Report on “Reproducibility and Replicability in Science” (2020) (5)
Are We There Yet? Big Data Significantly Overestimates COVID-19 Vaccination in the US (2021) (4)
Comment on article by Celeux et al. (2006) (4)
Practical perfect sampling using composite bounding chains: the Dirichlet-multinomial model (2013) (4)
MCMC in Educational Research (2011) (4)
Discussion on the paper by Brooks, Giudici and Roberts (2003) (4)
Statistical Physics and Statistical Computing: A Critical Link (2006) (4)
Power-Shrinkage and Trimming : Two Ways to Mitigate Excessive Weights (2006) (4)
Response: Did Newton–Raphson really fail? (2014) (3)
Thank God That Regressing Y on X is Not the Same as Regressing X on Y: Direct and Indirect Residual Augmentations (2013) (3)
On the use of conditional maximization in chemometrics (1994) (3)
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) (3)
Existence and asymptotic behavior of minimizers for the Kirchhoff functional with periodic potentials (2022) (3)
MEETING HAUSDORFF IN MONTE CARLO: A SURPRISING TOUR WITH ANTIHYPE FRACTALS (2006) (3)
Prevalence and Correlates of Eating Disorders in Latinos in the U . (2014) (3)
Rejoinder: Better Training, Deeper Thinking, and More Policing (2010) (3)
Enhanced security checks at airports: minimizing time to detection or probability of escape? (2012) (2)
Multiple Imputation for Response Biases in NLAAS Due to Survey Instruments (2006) (2)
Real-Life Module Statistics: A Happy Harvard Experiment (2)
Discussion: Should a Working Model Actually Work? (2016) (2)
Concordance: In-flight Calibration of X-Ray Telescopes without Absolute References (2021) (2)
On the Edge: Statistics & Computing (2001) (2)
Concordance: In-flight calibration of x-ray telescopes without absolute references (Conference Presentation) (2018) (1)
[Multiple-Imputation Inferences with Uncongenial Sources of Input]: Rejoinder (1994) (1)
Effective modeling and scientific computation with applications to health study, astronomy, and queueing network (2008) (1)
Wiley Series in Probability and Statistics (2005) (1)
A Fruitful Resolution to Simpson ’ s Paradox via Multi-Resolution Inference (2013) (1)
A Conversation on COVID-19 with Brief19 Editor-in-Chief and ER Physician Jeremy Faust (2020) (1)
A Conversation with Larry Bacow on the Impact of COVID-19 (2020) (1)
Bayesian Tests for Goodness of Fit Using Tail Area Probabilities * (2008) (1)
Post-Election Interview with Andrew Gelman and G. Elliott Morris (2020) (1)
Rejoinder: Be All Our Insomnia Remembered… (2011) (1)
Discussion: The Q‐q Dynamic for Deeper Learning and Research (2016) (1)
H-means image segmentation to identify solar thermal features (2012) (1)
Appears as Chapter 5 of the Handbook of Markov Chain Monte Carlo (2012) (1)
An unexpected encounter with Cauchy and Lévy how this access benefits you. Your story matters (2016) (0)
Bayesian and Profile Likelihood Approaches to Time Delay Estimation for Stochastic Time Series of Gravitationally Lensed Quasars (2016) (0)
Discussion (2000) (0)
A Conversation on COVID-19 with Head of Statistics for BBC News Robert Cuffe (2020) (0)
Rejoinder: Please Visit the Wild Arboretum of Multi-Phase Inference (2017) (0)
A Conversation with Michael V. Drake and Jennifer Chayes (2021) (0)
An Interview with Murray Edelman on the History of the Exit Poll (2021) (0)
Statistica Sinica Preprint No : SS-2016-0302 Title Discussion of “ Dissecting Multiple Imputation from a Multi-phase Inference Perspective : What Happens when God (2016) (0)
Double Your Variance, Dirtify Your Bayes, Devour Your Pufferfish, and Draw your Kidstrogram (2022) (0)
45 A trio of inference problems that could win you a Nobel (2014) (0)
Rejoinder: Let’s Be Imprecise in Order to Be Precise (About What We Don’t Know) (2021) (0)
Inference and efficient computation for highly structured models with applications (2006) (0)
Xiao‐Li Meng’s contribution to the Discussion of ‘Testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer (2021) (0)
Model Checking and Model Improvment (chapter for Gilks, Richardson, and Spiegelhalter Book) (2007) (0)
Prevalence of eating disorders among blacks in the national survey of American life. Commentaries (2007) (0)
Mixed Effects Models and the EM Algorithm (2005) (0)
A Conversation with Ola Awad, President, Palestinian Central Bureau of Statistics (2021) (0)
55 Years of Harvard Statistics: Stories, Snapshots, and Statistics (2012) (0)
Chapter 1 Perfection within Reach : Exact MCMC Sampling (2010) (0)
Rejoinder (2001) (0)
Six Statistical Senses (2022) (0)
Post-Election Interview with Allan Lichtman (2020) (0)
Rejoinder: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies (2011) (0)
Statistics as an Academic Discipline (2012) (0)
Book reviews, Spring 2013 . Special issue on George Casella's books (2012) (0)
Designing Information Measures for Real-time Lightcurve Classification (2016) (0)
A Fully Bayesian Method to Simultaneously Fit Calibration Products and Model Parameters in X-ray Spectral Analyses (2014) (0)
Rule 3 : Plan Ahead , Really Ahead (2016) (0)
The Full Monte Carlo: A Live Performance with Stars (2014) (0)
Comment: Doit and Do It Well Comment: Doit and Do It Well (0)
A helicopter view of the self-consistency framework for wavelets and other signal extraction methods in the presence of missing and irregularly spaced data (2007) (0)
Comment: DoIt and Do It Well (2012) (0)
Designing Test Information and Test Information in Design. (2019) (0)
A Conversation with L. Rafael Reif on College of Computing, COVID-19, and the Future Workforce (2020) (0)