Xiao-Li Meng
Affiliations: | University of Chicago, Chicago, IL |
Area:
Statistics, MathematicsGoogle:
"Xiao-Li Meng"Parents
Sign in to add mentor| Donald B. Rubin | grad student | 1990 | Harvard | |
| (Towards complete results for some incomplete-data problems) | ||||
Children
Sign in to add trainee| David A. van Dyk | grad student | ||
| Virgil R. Craiu | grad student | 2001 | Chicago |
| James D. Servidea | grad student | 2002 | Chicago |
| Martin Romero | grad student | 2003 | Chicago |
| Zhiqiang Tan | grad student | 2003 | Chicago |
| Peter Bouman | grad student | 2004 | Chicago |
| Jingchen Liu | grad student | 2008 | Harvard |
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Publications
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| Chen Y, Meng X, Wang X, et al. (2019) Calibration Concordance for Astronomical Instruments via Multiplicative Shrinkage Journal of the American Statistical Association. 114: 1018-1037 |
| Meng X. (2018) Statistical paradises and paradoxes in big data (I): Law of large populations, big data paradox, and the 2016 US presidential election The Annals of Applied Statistics. 12: 685-726 |
| Tak H, Meng X, van Dyk DA. (2018) A Repelling–Attracting Metropolis Algorithm for Multimodality Journal of Computational and Graphical Statistics. 27: 479-490 |
| Meng X. (2018) Conducting Highly Principled Data Science: A Statistician's Job and Joy Statistics & Probability Letters. 136: 51-57 |
| Tak H, Mandel K, Dyk DAv, et al. (2017) Bayesian estimates of astronomical time delays between gravitationally lensed stochastic light curves The Annals of Applied Statistics. 11: 1309-1348 |
| Yin D, Li L, Song X, et al. (2016) A novel multi-epitope recombined protein for diagnosis of human brucellosis. Bmc Infectious Diseases. 16: 219 |
| Xu J, Van Dyk DA, Kashyap VL, et al. (2014) A fully Bayesian method for jointly fitting instrumental calibration and x-ray spectral models Astrophysical Journal. 794 |
| Meng X, Xie X. (2014) I Got More Data, My Model is More Refined, but My Estimator is Getting Worse! Am I Just Dumb? Econometric Reviews. 33: 218-250 |
| Liu K, Meng X. (2014) Comment: A Fruitful Resolution to Simpson’s Paradox via Multiresolution Inference The American Statistician. 68: 17-29 |
| Liu J, Meng X, Chen C, et al. (2013) Statistics Can Lie But Can Also Correct for Lies: Reducing Response Bias in NLAAS via Bayesian Imputation Statistics and Its Interface. 6: 387-398 |