Guang Cheng   (Graphical Representation)

Assistant Professor
Department of Statistics
Purdue University                                                                                                                            
Office: MATH 512
E-mail: chengg at stat dot purdue dot edu
Phone: 765-496-9549

Education

University of Wisconsin-Madison
Ph.D.
in Statistics, September, 2003 ¨C July, 2006
Advisor: Michael Kosorok

Tsinghua University
School of Economics and Management
B.A. in Economics, September, 1998 ¨C July, 2002

Current Research Interest

Convex hull of the following areas:

1, Asymptotic Statistics, Empirical Processes
2, Semiparametric/Semi-nonparametric Inferences
3, Bootstrap Theory
4, Variable Selection for High Dimensional Data
5, Statistical Inferences under Shape Constraints


Research Assistantship Available

One or two RA positions are available for PhD students in the above research areas.  These positions are funded by National Science Foundation in the Division of Mathematical Sciences (DMS). If you are interested in these positions, please send your CV to chengg@purdue.edu, or stop by my office.

Award

Noether Young Scholar Award, 2012


Funding

NSF CAREER Award: DMS-1151692, 2012-2017, $400,000
Single PI: NSF, DMS-0906497, 2009-2012, $100,003

Editorial Work

Associate Editor for JSPI and JSCS.

Selected Publications


Cheng, G., Huang, J.Z. and Zhou, L., Efficient  Semiparametric Estimation in Generalized Partially Linear Additive  Models for Longitudinal/Clustered Data, Bernoulli, Invited Revision
Cheng, G., Zhou, L., Chen, X. and Huang, J.Z. Efficient Estimation of Semiparametric Copula Models for Bivariate Survival Data, Submitted
Cheng, G.,
How Many Iterations are Sufficient for Efficient Semiparametric Estimation? Scandinavian Journal of Statistics, Invited Revision
Cheng, G., and Zhang, H., Sparse and Efficient Estimation for Partial Spline Models with Increasing Dimension, Annals of Institute of Statistical Mathematics, Invited Revision
Leng, C. and Cheng, G., Discussion on ¡°Probabilistic Index Models¡± by Thas, Neve, Clement and Ottoy, JRSS-B
Cheng, G.
, Yu, Z. and Huang , J.Z. (2012). Bootstrap Consistency for Longitudinal/Clustered Data Modeled via GEE,
Journal of Multivariate Analysis, Invited Revision
Cheng, G.
A Note on Bootstrap Moment Consistency for Semiparametric M-Estimation, Electronic Journal of Statistics, Invited Revision
Cheng, G.
and Wang, X. (2012), Semiparametric Additive Transformation Models under Current Status Data, Electronic Journal of Statistics, 5, 1735-1764
Zhang, H., Cheng, G. and Liu, Y., (2011) Linear or Nonlinear? Automatic Discovery for Partially Linear Models, JASA-Theory & Methods, 106, 1099-1112
Cheng, G.
and Huang, J.Z., (2010) Bootstrap Consistency for General Semiparametric M-estimation Annals of Statistics, 38, 2884-2915
Cheng, G.
and Kosorok, M.R. (2009), The Penalized Profile Sampler Journal of Multivariate Analysis, 100, 345-362
Cheng, G. (2009), Semiparametric Additive Isotonic Regression Journal of Statistical Planning and Inference, 139, 1980-1991
Cheng, G.
and Kosorok, M.R. (2008), Higher Order Semiparametric Frequentist Inference with the Profile Sampler Annals of Statistics, 36, 1786-1818
Cheng, G. and Kosorok, M.R. (2008), General Frequentist Properties of the Posterior Profile Distribution Annals of Statistics, 36, 1819-1853


Talk Slides


T1. Joint Asymptotics and Inferences for Semi-Nonparametric Models (04/12/2012). Link

T2. Bootstrap Consistency for General Semiparametric M-Estimate. Link

T3.How Many Iterations are Sufficient for Semiparametric Estimation? Link

T4. Inverse Problems in Semiparametric Statistical Models. Link

 

Teaching

Stat 695R: Asymptotic Statistics and Empirical Processes

 

PhD Students

Ritabrata Dutta (co-advised by Prof. Jayanta Ghosh)

Zhuqing Yu

Wei Sun

 

Undergraduate

Zhiyuan Luo

 

 

Selected Invited Talk

2012

July 2-4, The 2nd Institute of Mathematical Statistics-Asian Pacific Rim Meeting, Tsukuba, Japan

April 12, Dept of Statistics and Actuarial Science, University of Iowa, Iowa City, IA

April 5, IAMCS, Texas A&M University, College Station, TX

2011

Sept 23, Dept. of Math., IUPUI, Indianapolis, IN.

June 26-29, ICSA 2011, Applied Statistics Symposium, NYC

May 23-27, Applied Inverse Problems Conference, College Station, TX

March 9, Department of Statistics, Northwestern University, Chicago, IL

 

2010

July 31-August 5, Section of Nonparametric Statistics, JSM

June 20-23, Session of Semiparametric Modelling, ICSA, Applied Statistics Symposium

May 14, Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison

March 12, Department of Statistics, University of Michigan

March 25-26, Conference on Resampling Methods and High Dimensional Data, Texas A&M University

 

2009

October, Department of Statistics, University of Illinois at Urbana-Champaign

September, Department of Mathematics, Statistics and Computer Science, University of Illinois at Chicago

August, Section of Nonparametric Statistics, JSM

June, National Center for Atmospheric Research (NCAR)

May, Symposium on New Directions in Asymptotic Statistics, University of Georgia

April, Department of Statistics, Penn State University

 

2008-2007

Watson Research Center, IBM; Texas A&M University; Rutgers University; University of Iowa; Purdue University; Michigan State University; UC-Berkeley; North Carolina State University; Iowa State University; Indiana University; 10th New Researcher Conference; 2007 Nonparametric Conference at University of South Carolina; University of Bristol; Temple University; University of Oxford; HongKong University; University of Georgia; National University of Singapore; SAMSI.