Guang Cheng  (³Ì¹â)
(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

Recent Research Interest


1, Joint Asymptotics in Semi-Nonparametric Models

2, Empirical Processes, Bootstrap Theory
3, High-Dimensional Inference and Sparsity in Semiparametric Models

4, Statistical Inferences under Shape Constraints
5, Statistical Applications to Soil Sciences and Astronomy


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
NSF DMS-0906497, 2009-2012, $100,003, Sole PI

Editorial Work

Associate Editor for Journal of Statistical Planning and Inference and Electronic Journal of Statistics

Selected Publications


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

Cheng, G. (2009), Semiparametric Additive Isotonic Regression Journal of Statistical Planning and Inference, 139, 1980-1991
Cheng, G. and Huang, J.Z., (2010) Bootstrap Consistency for General Semiparametric M-estimation Annals of Statistics, 38, 2884-2915

Cheng, G. and Wang, X. (2011), 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, Supplementary, JASA-Theory & Methods, 106, 1099-1112

Leng, C. and Cheng, G., (2012) Discussion on ¡°Probabilistic Index Models¡± by Thas, Neve, Clement and Ottoy, JRSS-B, 74, 661-662

Cheng, G., Zhou, L. and Huang, J.Z. (2012) Efficient  Semiparametric Estimation in Generalized Partially Linear Additive  Models for Longitudinal/Clustered Data, Bernoulli, To Appear
Cheng, G., Yu, Z*. and Huang, J.Z. (2013). The Cluster Bootstrap Consistency in Generalized Estimating Equations, Journal of Multivariate Analysis, 115, 33-47 *: PhD student
Cheng, G. (2012). How Many Iterations are Sufficient for Efficient Semiparametric Estimation?, Supplementary, Scandinavian Journal of Statistics, To Appear

 

Collaborative Research


Liang, C., Cheng, G., Wixon, D. and Balse, T. (2011) An Absorbing Markov Chain Approach to Understanding the Microbial Role in Soil Carbon Stabilization, Biogeochemistry, 106, 303-309

 

Manuscript

 

Local and Global Asymptotic Inferences for the Smoothing Spline Estimate

 

Talk Slides


T1. The Long March Towards Joint Asymptotics: My 1st Steps¡­. 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

Zhuqing Yu

Wei Sun
Ritabrata Dutta (2008-2012, co-advised by Prof. Jayanta Ghosh), Currently Postdoc Fellow

 

Master
Ching-Wei Cheng


Undergraduate

Zhiyuan Luo

 

 

Selected Invited Talk

2013

October, Applicable Semiparametrics Conference, Berlin, German

June, The 4th IMS-China International Conference, Chengdu, China
May, Department of Statistics, Virginia Tech Univ., Blacksburg, VA

March, Data Seminar, Duke University, Durham, NC

 

2012

July 2-4, The 2nd Institute of Mathematical Statistics-Asian Pacific Rim Meeting, Tsukuba, Japan
June 5-7, Conference on Statistical Learning and data Mining, Ann Arbor, MI

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. 





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