Contact information

Department of Mathematics, Statistics, and Computer Science

University of Illinois at Chicago

322 Science and Engineering Offices (M/C 249)

851 S. Morgan Street

Chicago, Illinois 60607

Office:....SEO 506

Phone:o312-413-2156

Email:....rgmartin AT math.uic.edu  (the best way to contact me)

My department URL

Education

BAMSPh.D.  Purdue University, Statistics, 2009.

BAPhDM.S.  Indiana University–Purdue University Indianapolis, Statistics, 2005.

MSPhDB.A.  Franklin College, Mathematics, 2003.

Teaching

Stat 411 — Statistical Theory (Fall 2013)

Stat 591 — Bayesian Analysis (Fall 2013)   Announcement

Stat 511 — Advanced Statistical Theory I (Spring 2013)

Research interests

Bayes and empirical Bayes analysis, especially nonparametrics;

Foundations of statistics, especially inferential models;

High-dimensional inference;

Mixture model estimation, especially predictive recursion;

Monte Carlo methods.

Research partially supported by the NSF (DMS–1208833)

Some web links

Gmail

Purdue Department of Statistics

Duke Department of Statistical Science — Discussion Papers

UIC Library — JSTOR   MathSciNet

arXiv

ASA — JASA   JCGS   SBSS

Bayesian Analysis

Biometrika

IMS — AoS   AoAS   STS   EJS

JMLR

JRSS-B

Miscellany

Manuel Blum:  Advice to a Beginning Graduate Student.

Michael Steele:  Advice for Graduate Students in Statistics.

Michael I. Jordan:  What are the Open Problems in Bayesian Statistics?

Gradshteyn and Ryzhik, Tables of Integrals, Series, and Products, Academic Press, 7th edition, 2007.