JSM Invited Program Outlined
This year, the Section on Physical and Engineering Sciences will sponsor three invited sessions, three invited posters, and seven contributed sessions. The invited sessions are described briefly below.
Parallel Statistical Computing: Are We Embracing the Scalable Concurrency Revolution?
Generic Framework for Parallel Statistical Computing
Parallel Implementation of Response Surface Regression in R
Modern-Day Design and Analysis of Experiments, organized by Peter Z. G. Qian of the University of Wisconsin-Madison
Modern-day experiments pose new challenges, such as including a large number of factors and involving all sorts of uncertainty. The purpose of this session is to present recent methodological advances in experimental design and showcase their applications in cutting-edge problems.
Design and Analysis of Computer Experiments, organized by Boxin Tang of Simon Fraser University
The design and analysis of computer experiments deals with efficient methods for collecting and analyzing data from computer models of scientific and technological problems. This is an area of statistics that has already had a strong effect on the general scientific community and will continue to grow as computational experiments become a major component of scientific discovery.
Recent Developments in Functional Data Analysis, organized by Surajit Ray of Boston University
This session will include talks on functional embedding techniques to reduce problem dimensionality and joint estimation of functions and model-based clustering/classification. Each talk will be motivated by a unique set of applications, data observed from a well-studied dynamical system, data in high dimensions, data displaying strong autoregressive framework, sparseness of observation, and non-normality.