Fall 2015 Schedule
Meetings are alternate Tuesdays from 12:40--1:35 in CH 212
(Note the weeks we do not meet, the Spatial Statistics reading group meets Mondays 12:40--1:35 in CH 212. Members of our group are welcome to attend)
Date | Speaker | Paper/Topic |
September 22nd | Po-Hsu Chen | Introduction/Overview Slides |
October 6th | Sophie (Huong) Nguyen | Optimal network design for spatial prediction, covariance parameter estimation, and empirical prediction |
October 20th | Xiaofei Zhou | Kernel Approximation: From Regression to Interpolation |
November 3rd | Dr. Chkrebtii | A statistical overview and perspectives on data assimilation for marine biogeochemical models Slides |
November 12th | Guest Speaker: Dr. Mike Dowd, Dalhousie University | Reference |
November 17th | Po-Hsu Chen | Multiobjective optimization of expensive-to-evaluate deterministic computer simulator models |
December 1st | Dr. Shan Ba The Procter & Gamble Company Marquardt Memorial ISP Guest Speaker |
Competitive Advantage of Computer Experiments in Industry: A P&G PerspectiveThe implementation of computer experiments is a competitive advantage in business environments where fast and cost effective product development is critical. In many industrial applications computer experiments are replacing physical experiments because the physical creation and testing of prototypes is very prohibitive in terms of time and cost. Computer experiments typically involve complex systems with numerous input variables. A primary goal with computer experiments is to develop a metamodel - a good empirical approximation to the original complex computer model - which provides an easier and faster approach to sensitivity analysis, prediction and optimization. This talk will cover real industry applications in design and modeling of computer experiments and also in computer model calibration. References:Optimal Sliced Latin Hypercube Designs Maximum projection designs for computer experiments |
Computer Experiments Journal Club |