Items related to Bayesian Reasoning in Data Analysis: A Critical Introduction

Bayesian Reasoning in Data Analysis: A Critical Introduction - Softcover

Giulio D'Agostini

 
9789814447959: Bayesian Reasoning in Data Analysis: A Critical Introduction
Softcover
ISBN 10: 9814447951 ISBN 13: 9789814447959
Publisher: World Scientific Publishing Co Pte Ltd, 2003

Synopsis

This book provides a multi-level introduction to Bayesian reasoning (as opposed to "conventional statistics") and its applications to data analysis. The basic ideas of this "new" approach to the quantification of uncertainty are presented using examples from research and everyday life. Applications covered include: parametric inference; combination of results; treatment of uncertainty due to systematic errors and background; comparison of hypotheses; unfolding of experimental distributions; upper/lower bounds in frontier-type measurements. Approximate methods for routine use are derived and are shown often to coincide - under well-defined assumptions! - with "standard" methods, which can therefore be seen as special cases of the more general Bayesian methods. In dealing with uncertainty in measurements, modern metrological ideas are utilized, including the ISO classification of uncertainty into type A and type B. These are shown to fit well into the Bayesian framework.

"synopsis" may belong to another edition of this title.

From the Back Cover

This book provides a multi-level introduction to Bayesian reasoning (as opposed to "conventional statistics") and its applications to data analysis. The basic ideas of this "new" approach to the quantification of uncertainty are presented using examples from research and everyday life. Applications covered include: parametric inference; combination of results; treatment of uncertainty due to systematic errors and background; comparison of hypotheses; unfolding of experimental distributions; upper/lower bounds in frontier-type measurements. Approximate methods for routine use are derived and are shown often to coincide under well-defined assumptions! with "standard" methods, which can therefore be seen as special cases of the more general Bayesian methods. In dealing with uncertainty in measurements, modern metrological ideas are utilized, including the ISO classification of uncertainty into type A and type B. These are shown to fit well into the Bayesian framework.

"About this title" may belong to another edition of this title.

Publisher
World Scientific Publishing Co Pte Ltd
Publication date
2003
Language
English
ISBN 10 
9814447951
ISBN 13 
9789814447959
Binding
Paperback
Number of pages
352