Chuanhai Liu

Research

Selected Papers
1. Liu, C. (2026). From AI to statistics: On LLM-based agents for data science. The American Statistician, 80(3), 345-348.
2. Jiang Y, Zhang Z, Martin R, Liu C. (2026). The typicality principle and its implications for statistics and data science. Journal of Data Science 24(1), 4-25.
3. Jiang, Y. and Liu, C. (2025). Estimation of over-parameterized models from an auto-modeling perspective, Journal of the American Statistical Association, 120, 2422-2434
4. Liu, C. (2023). Reweighted and circularized Anderson-Darling tests of Goodness-of-Fit, Journal of Nonparametric Statistics, 35(4), 869-904.
5. Martin, R. and Liu, C. (2015). Marginal inferential models: prior-free probabilistic inference on interest parameters, Journal of the American Statistical Association, 110, 1621-1631.
6. Martin, R., Liu, C. (2014), Conditional inferential models: combining information for prior-free probabilistic inference, Journal of the Royal Statistical Society, Series B, 77(1), 195-217.
7. Martin, R., Liu, C. (2013), Inferential models: A framework for prior-free posterior probabilistic inference, Journal of the American Statistical Association, 108, 301–313.
8. He, Y. and Liu, C. (2012). The dynamic `expectation-conditional maximization either' algorithm, Journal of the Royal Statistical Society, Series B, 74(2), 313-336.
9. Ermini Leaf, D. and Liu, C. (2012). Inference about constrained parameters using the elastic belief method, International Journal of Approximate Reasoning, 53, 709-727.
10. Martin, R., and Zhang, J., and Liu, C. (2010). Dempster-Shafer theory and statistical inference with weak beliefs, Statistical Science, 25, 72-87.
11. Edlefsen, P. T., Liu, C., and Dempster, A. P. (2009). Estimating limits from Poisson counting data using Dempster-Shafer analysis, Annals of Applied Statistics 3, 764-790.
12. Liu, C. and Vander Wiel, S. (2007). Statistical Quasi-Newton: A new look at least change, SIAM Journal on Optimization, 18, 1266-1285.
13. Liang, F. Liu, C., and Carroll, R. (2007). Stochastic approximation in Monte Carlo computation, Journal of the American Statistical Association, 102, 305-320.
14. Lambert, D. and Liu, C. (2006). Adaptive thresholds: monitoring streams of network counts, Journal of the American Statistical Association, 101, 78-88.
15. Liu, C., Vander Wiel, S., and Yang, J. (2003). A nonstationary traffic train model for fine scale inference from coarse scale counts. IEEE Journal on Selected Areas in Communications, 21(6), 895-907.
16. Liu, C. (2003). Alternating subspace-spanning resampling to accelerate Markov chain Monte Carlo simulation. Journal of the American Statistical Association, 98(461), 110-117.
17. Hopke, P. K., Liu, C. and Rubin, D. B. (2001). Multiple imputation for multivariate data with missing and below-threshold measurements: time-series concentrations of pollutants in the Arctic, Biometrics 57, 22-33.
18. Liu, C. (2000). Estimation of discrete distributions with a class of simplex constraints, Journal of American Statistical Association, 95, 109-120.
19. Liu, C. and Sun, D. X. (2000). Analysis of interval-censored data from fractional experiments using covariance adjustment [won The Frank Wilcoxon Prize for the best practical application paper in Technometrics for the year 2000], Technometrics 42(4), 353-365.
20. Liu, C. (1998). Information matrix computation from conditional information via normal approximation, Biometrika 85(4), 973-979.
21. Liu, C. and Rubin, D.B. (1998). Ellipsoidally symmetric extensions of the general location model for mixed categorical and continuous data. Biometrika 85, 673-688.
22. Gelman, A. King, G. and Liu, C. (1998). Not asked and not answered: multiple imputation for multiple surveys (with discussion) [won the American Statistical Association's Outstanding Statistical Application Award in 2000.], Journal of the American Statistical Association 93, 846-857.
23. Liu, C., Rubin, D. B., and Wu, Y. (1998). Parameter expansion for EM acceleration --- the PX-EM algorithm, Biometrika 85(4), 655-770.
24. Liu, C. (1996). Bayesian robust multivariate linear regression with incomplete data, Journal of the American Statistical Association 91, 1219-1227.
25. Liu, C. and Rubin, D. B. (1994). The ECME algorithm: a simple extension of EM and ECM with faster monotone convergence, Biometrika, 81(4), 633-648.
26. Liu, C. and Stock, J. M. (1993). Quantitative determination of uncertainties in seismic refraction prospecting, Geophysics 58, 553-563.
Books