Software Gets Smarter Artificial Intelligence in the Enterprise Dr Kaustubh Chokshi CEO, Intelligent Business Systems.
The Role of Statistics Post-Market Jay Herson, Ph.D. Johns Hopkins University Sept 29, 2006.
1 Bayesian CTS example @ FDA/Industry Workshop September 18, 2003Copyright Pharsight Case Study in the Use of Bayesian Hierarchical Modeling and Simulation.
Bayesian Methods to Handle Missing Data in High-Dimensional Data Sets using Factor Analysis Strategies Thomas R. Belin UCLA Department of Biostatistics.
© Tripos, L.P. All Rights Reserved Computational Challenges of PK/PD NLME Bob Leary Pharsight Corporation.
Bayesian methods for calibrating and comparing process-based vegetation models Marcel van Oijen (CEH-Edinburgh)
Spatial modelling an introduction Duncan Lee, Adrian Bowman and Marian Scott Enviornmental statistics course August 2008.
Introduction to Spatial modelling Statistics for Environmental Evaluation Duncan Lee and Marian Scott March / April 2009.
The Roots of Total Survey Design Lars Lyberg Stockholm University QMMS Seminar Leinsweiler, Nov 7-9, 2010.
Bayesian methods for small area estimation and spatial analysis Juanjo Abellan Small Area Health Statistics Unit (SAHSU) Department of Epidemiology & Public.
2008 College Conversation Reviewing New faculty New strategic plan New successes.
The Calibrated Bayes Approach to Sample Survey Inference Roderick Little Department of Biostatistics, University of Michigan Associate Director for Research.
