Selected Publications

Confidence Distribution, Prediction and BFF Inference

• Leveraging the Fisher randomization test using confidence distributions: inference, combination and fusion learning (JRSS-B, 2021)
  

• Nonparametric fusion learning for multi-parameters: synthesize inferences from diverse sources using data depth and confidence distribution (JASA, 2021)

• Nonparametric predictive distributions based on conformal prediction (Machine Learning, 2019)

• Prediction with confidence—A general framework for predictive inference (JSPI, 2019; invited article)
  

• Incorporating Expert Opinions with Information from Binomial Clinical Trials  (Annals of Applied Statistics, 2013)

• Confidence Distribution, the Frequentist Distribution Estimator of a Parameter -- a Review (International Statistical Review, 2013; invited discussion article)
  
  Dicussions by David R. Cox, Brad Efron, D.A.S. Fraser, Emanuel Parzen, Tore Schweder/Nils Hjort and Christian Robert and Rejoinder (International Statistical Review, 2013)

• Confidence Distributions and a Unified Framework for Meta-analysis (JASA, 2011)

• Confidence distribution -- the Frequentist Distribution Estimator of a Parameter (IMS Book Chapter, 2007; invited article)

• Combining information from independent sources through confidence distributions (Annals od Statistics, 2005)

    Fusion Learning and Meta-Analysis

• iGroup: Individualized Group Learning (JASA, 2021)

• Multivariate Survival Analysis in Big data: A Divide-and-combine Approach (Biometrics, 2021)

• iFusion: Individualized Fusion Learning (JASA, 2020)

• Meta‐analysis framework for exact inferences with application to the analysis of rare events (Biometrics, 2016)
  

• Multivariate meta-analysis of heterogeneous studies using only summary statistics: efficiency and robustness (JASA, 2015)
  

• Meta Analysis with Fixed, Unknown, Study-specific Parameters (JASA, 2014)
  

• Exact meta-analysis approach for discrete data and its application to 2x2 tables with rare events (JASA, 2014)
  

• A Split-and-Conquer Approach for Analysis of Extraordinarily Large Data (Statistica Sinica, 2014) [An earlier version -- DIMACS technical report in January 2012]
  

• Confidence Distributions and a Unified Framework for Meta-analysis (JASA, 2011)

Estimating Equation, Latent Model and Others

• A general framework for frequentist model averaging (Science China, 2019; ivited article)

• A Latent Source Model to Detect Multiple Spatial Clusters with Application in a Mobile Sensor Network for Surveillance of Nuclear Materials. (JASA, 2013)

• Investigating the Impact of Uncertainty About Item Parameters on Ability Estimation(Psychometrika 2011)

• Confidence Intervals for Population Ranks in the Presence of Ties or Near Ties. (JASA, 2009)

• A Latent Model to Detect Multiple Clusters of Varying Sizes (Biometrics 2009)
  

• Analysis of Heterogeneous Data Using Varying-Scale Generalized Linear Models. (JASA, 2008) [Supplementary]
  

• Asymptotics for generalized estimating equations with large cluster sizes (Annals of  Statistics, 2003)

• Group Testing With Blockers and Synergism (JASA, 2001)

• A Sequential Approach for Identifying Lead Compounds in Large Chemical Databases (Statistical Science, 2001)

    Discussions (on BFF inferences and Prediction)

• Discussion on ``Prediction, Estimation, and Attribution''  by Professor Brad Efron (JASA, 2020)

• Discussion on ``Prior-based Bayesian Information Criterion(PBIC)''  by Professors M. J. Bayarri, James O. Berger, et al. (Statistical Theory and Related Fields, 2019)
  

• Discussions on  “Is Bayes posterior just quick and dirty confidence?” by Professor Donald A.S. Fraser (Statistical Science, 2011)