Bayesian Inference, Approximate Bayesian Methods, Markov Chain Monte Carlo, Statistical Computing, Computing Environments for Statistics, Dynamic Graphics.
Some Reflections on Dynamic Graphics for Data Exploration; Joint Statistical Meetings, Chicago, August 2016.
Some Performance Improvements for the R Engine; University of Iowa, November 2015.
Some Performance Improvements for the R Engine; DSC 2014, Brixen, Italy, June 2014.
Some new developments for the R engine; Purdue Symposium, June 2012.
Some possible directions for the R engine; UseR! 2010, Gaithersburgh, MD, July 2010.
Code Analysis and Parallelizing Vector Operations in R; DSC 2007, Auckland, New Zealand, February 2007.
R: An Overview and Some Current Directions; Korean Statistical Society, Seoul, Korea, November 2006.
Markov Chain Monte Carlo Using the Ratio-of-Uniforms Transformation; IMS-ISBA MCMCSki 2005, Bormio, January 2005.
R software projects; the R byte code compiler
xlispstat software projects
Office: 231 Schaeffer Hall
Office Hours: 9:30-10:20 MWF
Department of Statistics and Actuarial Science
241 Schaeffer Hall
The University of Iowa
Iowa City, IA 52242-1419
Last modified: Jan 16 2017 18:18 CST