Bayesian Reasoning in Data Analysis

Bayesian Reasoning in Data Analysis
Author: Giulio D'Agostini
Publisher: World Scientific
Total Pages: 351
Release: 2003
Genre: Mathematics
ISBN: 9812383565


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A multi-level introduction to Bayesian reasoning. The basic ideas of this approach to the quantification of uncertainty are presented using examples from research and everyday life. Applications covered include: parametric inference; combination of results; comparison of hypotheses; and more.


Bayesian Reasoning in Data Analysis
Language: en
Pages: 351
Authors: Giulio D'Agostini
Categories: Mathematics
Type: BOOK - Published: 2003 - Publisher: World Scientific

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A multi-level introduction to Bayesian reasoning. The basic ideas of this approach to the quantification of uncertainty are presented using examples from resear
Bayesian Reasoning In Data Analysis: A Critical Introduction
Language: en
Pages: 351
Authors: Giulio D'agostini
Categories: Mathematics
Type: BOOK - Published: 2003-06-13 - Publisher: World Scientific

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This book provides a multi-level introduction to Bayesian reasoning (as opposed to “conventional statistics”) and its applications to data analysis. The bas
Reasoning with Data
Language: en
Pages: 336
Authors: Jeffrey M. Stanton
Categories: Social Science
Type: BOOK - Published: 2017-05-22 - Publisher: Guilford Publications

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Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs,
Bayesian Data Analysis, Third Edition
Language: en
Pages: 677
Authors: Andrew Gelman
Categories: Mathematics
Type: BOOK - Published: 2013-11-01 - Publisher: CRC Press

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Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzin
Introduction to Bayesian Statistics
Language: en
Pages: 608
Authors: William M. Bolstad
Categories: Mathematics
Type: BOOK - Published: 2016-09-02 - Publisher: John Wiley & Sons

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"...this edition is useful and effective in teaching Bayesian inference at both elementary and intermediate levels. It is a well-written book on elementary Baye