Predictive Inference: An Introduction (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) - Softcover

Geisser, Seymour

Softcover

ISBN 10: 0367449919 ISBN 13: 9780367449919

Publisher: Routledge, 2019

Synopsis

The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable inference and its advantages over parametric inference. While the book discusses a variety of approaches to prediction including those based on parametric, nonparametric, and nonstochastic statistical models, it is devoted mainly to predictive applications of the Bayesian approach. It not only substitutes predictive analyses for parametric analyses, but it also presents predictive analyses that have no real parametric analogues. It demonstrates that predictive inference can be a critical component of even strict parametric inference when dealing with interim analyses. This approach to predictive inference will be of interest to statisticians, psychologists, econometricians, and sociologists.

About this title

About the Author

Geisser, Seymour

From the Back Cover

This book presents Seymour Geisser's views on predictive or observable inference and its advantages over parametric inference. It focuses on the predictive applications of the Bayesian approach. The book also presents predictive analyses that have no real parametric analogues.

Edition details

• Publisher: Routledge
• Publication date: 2019
• Language: English
• ISBN 10: 0367449919
• ISBN 13: 9780367449919
• Binding: Paperback
• Edition number: 1
• Number of pages: 276