JSM 2011 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Activity Details

470 * ! Wed, 8/3/2011, 8:30 AM - 10:20 AM CC-D241
Advanced Topics in Regression — Contributed Papers
Section on Physical and Engineering Sciences
Chair(s): Matthew M. Tibbits, Penn State University
8:35 AM Measuring the Span of the Visible Universe with Nonparametric Regression Irina Udaltsova, University of California at Davis ; Samuel Schmidt, University of California at Davis ; Jiming Jiang, University of California at Davis
8:50 AM In Search of Desirable Compounds Adrijo Chakraborty, University of Georgia ; Kjell Johnson, Pfizer Inc. ; Abhyuday Mandal, University of Georgia
9:05 AM Designs for Discriminating Between Linear and Cubic Regression Models Santanu Dutta, University of California at Riverside ; Subir Ghosh, University of California at Riverside
9:20 AM Selecting Linear Models Under the Bayesian Paradigm with Focus on Good Prediction Over a User-Specified Distribution on the Covariate Space Adam Lee Pintar, National Institute of Standards and Technology ; Christine Anderson-Cook, Los Alamos National Laboratory ; Huaiqing Wu, Iowa State University
9:35 AM Comparison of Statistical Power for Testing Interactive Versus Quadratic Effects Using Measured Variable Versus Latent Variable Approaches Yue Ma, University of South Florida ; Leona Aiken, Arizona State University ; Stephen West, Arizona State University
9:50 AM The Constrained Random Effect Models for Nanoparticle Synthesis in a Supercritical CO2 Process Hin Kyeol WOO, Georgia Tech ; Jye Chyi Lu, Georgia Tech
10:05 AM MCMC Methods Using Temporary Mapping and Caching and Its Applications on Gaussian Process Regression Chunyi Wang, University of Toronto ; Radford M. Neal, University of Toronto

2011 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.