Minge Xie

Min-ge Xie

Distinguished Professor

Director, Rutgers Office of Statistical Consulting

Department of Statistics
574 Hill Center, Busch Campus
Rutgers University
Piscataway NJ 08854

E-mail: mxie_AT_stat.rutgers.edu

EDUCATION

Ph.D. in Statistics, University of Illinois at Urbana-Champaign (UIUC)

B.S. in Mathematics (with high honor), University of Science and Technology of China (USTC)

RESEARCH

An article on confidence distributions with discussions (Discussed by David R. Cox, Brad Efron, D.A.S. Fraser, Emanuel Parzen, Tore Schweder/Nils Hjort and Christian Robert)

Main paper
Discussions and Rejoinder
Journal link: International Statistical Review, 2013

A CD talk (UIUC, Nov. 2015)

Forthcoming BFF Handbook (by Chapman & Hall)

Handbook on Bayesian, Fiducial and Frequentist Inferences (Co-edited by J. Berger, X.-L. Meng, N. Reid and M. Xie)

Research Interest

Foundations of Statistical Inference and Data Science
Confidence Distribution and Conformal Prediction
Fusion Learning, Meta-analysis, and Combining Information
Large Sample Theories, Estimating Equations, and Robust Statistics
Casual Inference, Latent Models, and Missing Data
Nonparametric and Semi-parametric Methods
Applications in Bio-medical Sciences, Industry, Engineering, and Environmental Science

Publications

Current Research Projects

Unravel machine learning blackboxes -- A general, effective and performance-guaranteed statistical framework for complex and irregular inference problems in data science (Supported by NSF DMS 2311064)
Dynamic Modeling for Extreme Event Prediction with Uncertainty Quantification with Multi-panel Time Series (Supported by NSF DMS 2319260)
Repro Sampling Method : A Transformative Artificial-Sample-Based Inferential Framework with Applications to Discrete Parameter, High-Dimensional Data, and Rare Events Inferences (Supported by NSF DMS 2015373)
Model-free Outlier Detection with Confidence and Precision (Suported by NSF DMS 2027855)

Professional Services

Journal editors

Editor, The American Statistician (TAS)
Co-Editor-in-Chief, The New England Journal of Statistics in Data Science (NEJSDS)

The BFF research community (bff-stat.org)

Others

Workshop on Fusion Learning, BFF inferences and Statistical Foundations (the 3rd BFF Workshop), April 11-13, 2016 (Support in part by NSF CCF 1144502 and DMS 1107012)
In memory of Dr. Kesar Singh, a beloved friend and colleague, who passed away on May 16, 2012 at a young age of 56.

Teaching and Consulting

Class Notes and Course Web Sites

Office of Statistical Consulting (OSC)