Hanxiang Peng
Associate professor
Department of Mathematical Sciences,
Indiana University-Purdue University at Indianapolis
At Indianapolis since 2008.
Ph.D.(2001), Department of Math Sciences,
Binghamton University.
My dissertation advisor is
Dr. Anton Schick
Office: LD 224B
402 N.Blackford St., LD270, Indianapolis, IN 46202-3216
Phone: (001)317-274-8070
Fax: (001)317-274-3460
E-mail: hpeng@math.iupui.edu
Teaching
Courses:
Stat 598 (Syllabus,
Lec_Notes_S598_1,
Old_Faithful_Dat,
Lec_Notes_S598_2,
Lec_Notes_S598_3,
Lec_Notes_S598_4,
HMK_3,
Project I).
Stat 628 (Syllabus,
Lec_0,
Lec_1,
Lec_2,
Lec_3,
Lec_4,
Lec_5,
Lec_6, Lec_7,
Lec_8,
Lec_9,
Lec_10,
Lec_11,
Lec_12).
Office hours: 4:30 - 6:00PM MW or by appointment.
CompExam: ProstateDat_FT,
PimaDat.
Statistics Seminar, Fall of 2011 ,
Statistics Seminar, Spring of 2012
list the speakers and titles and abstracts. This seminar meets each Wednesday from 12:15-1:15PM at
LD 265.
My Students
Current Ph.D. student:
• Qun Lin (2010-)
Dissertation Research: Empirical Likelihoods
• Lingnan Li (2012-)
Dissertation Research: Empirical Likelihoods
• Shan Wang (2012-)
Dissertation Research: Empirical Likelihoods
Former Ph.D. students:
• Jake Olivier (2003).
Dissertation: Home Range Techniques Utilizing Spatial Correlations.
• Gibson Johnston (2005).
Dissertation: An Exchangeable Negative Distribution and Its Applications.
• Stephine Keeton (2006).
Dissertation: A Semi-parametric Exchangeable Model and Its Applications.
• Latonya Garner (2007).
Dissertation: Analyzing Partially Exchangeable Binary Data.
Research
Areas of current interests:
(1) Survival analysis: I explore hazards regression using free knot splines and study its asymptotic behaviors
with applications in health sciences.
(2) Modeling of correlated data and generalized linear models:
I exploit exchangeability and partial exchangeability to model correlated data
common biological and medical sciences.
(3) Semi-parametric regression: I explore asymptotic efficiency
in semi-parametric models.
(4) Robust statistics: I explore robust regression with depth
functions.
(5) Empirical likelihood: I explore empirical likelihood with infinitely
many constraints, maximum empirical likelihood estimation and semiparametric
efficiency. Variable selection under empirical likelihood loss.
Presentations
Preprints
Publications
Personal Interests: I like sports. My favorite sports are swimming, running and biking. I also play basket ball, tennis and table tennis though I am not a good player.