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 of research in this area, the author presents a thorough overview of the statistical theory, properties, and applications of PIMs.

The book first describes how reparameterization can assist in computing posterior quantities and providing insight into the properties...

Now in its third, revised and extended edition, this book - a landmark on the subject - shows how you can consistently catch specimen pike when fishing rivers, lakes, gravel pits and lochs throughout the northern hemisphere.
Distinguished pike fisherman Paul Gustafson, an experienced biologist as well as a gifted angler and researcher, shows how you can develop techniques that will catch bigger pike when fishing any location. He describes how to locate the biggest fish in a fishery, the best way of catching it, and how to apply various clever techniques and the most effective...