Bayesian Reasoning in Data Analysis: A Critical Introduction
| Author | : | |
| Rating | : | 4.65 (665 Votes) |
| Asin | : | 9812383565 |
| Format Type | : | paperback |
| Number of Pages | : | 352 Pages |
| Publish Date | : | 2013-12-30 |
| Language | : | English |
DESCRIPTION:
Long winded and a weaker book in a crowded market Jesse This book is really long winded and slightly convoluted for a "critical" introduction. There are better introductions to bayesian reasoning the books by Sivia,Skilling or Bolstad book which cover material in a much more efficient manner.Read this concurrently with Sivia's book and inevitably gave up on this book and read Sivia exclusively.. Helge Karlsson said Relelant for metrology field of work. The style of writing is very much in line with the ISO Guide to the Expression of Uncertainty in Measurement. The book is very relevant for metrology field of work.
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.. 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! &mdash
.,." D'Agostini's new book builds an edifice of Bayesian statistical reasoning in the physical sciences on solid foundations.?