Exploring the Limits of Limited Data
Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data shows how the Bayesian approach to inference is applicable to partially identified models (PIMs) and examines the performance of Bayesian procedures in partially identified contexts. Drawing on his many years...
Published April 1st 2015 by Chapman and Hall/CRC
Impacts and Bayesian Adjustments
Mismeasurement of explanatory variables is a common hazard when using statistical modeling techniques, and particularly so in fields such as biostatistics and epidemiology where perceived risk factors cannot always be measured accurately. With this perspective and a focus on both continuous and...
Published September 25th 2003 by Chapman and Hall/CRC