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Bayesian Methods for the Physical Sciences : Learning from Examples in Astron...
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eBay-Artikelnr.:167905739842
Artikelmerkmale
- Artikelzustand
- Book Title
- Bayesian Methods For The Physical Sciences
- ISBN
- 9783319152868
Über dieses Produkt
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-10
3319152866
ISBN-13
9783319152868
eBay Product ID (ePID)
208596437
Product Key Features
Number of Pages
Xi, 238 Pages
Publication Name
Bayesian Methods for the Physical Sciences : Learning from Examples in Astronomy and Physics
Language
English
Subject
Probability & Statistics / General, Physics / Astrophysics, Physics / Mathematical & Computational, Astronomy, Probability & Statistics / Bayesian Analysis
Publication Year
2015
Type
Textbook
Subject Area
Mathematics, Science
Series
Springer Series in Astrostatistics Ser.
Format
Hardcover
Dimensions
Item Weight
193.5 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
Reviews
"Andreon and Weaver ... have written a book that could be a valuable component in the new Computational Data Analysis course. ... Bayesian Methods for the Physical Sciences begins with basic probability calculus and introduces complex models and concepts as it goes along. ... Most of the content is presented through real-world examples that could easily be adopted or adapted to new tasks." (David W. Hogg, Physics Today, Issue 6, June, 2016), Bayesian statistical methods are fast becoming the statistical method of choice among the majority of physicists and astrophysicists who find they must statistically evaluate their study data. Bayesian Methods for the Physical Sciences is co-authored by a noted astrophysicist and an accomplished Los Alamos statistician who specializes in this area of application. Together they have produced a true guidebook to the Bayesian modeling of astrophysical data. JAGS code is used and displayed for the many examples employed in the text. The book is comprehensive, well written, and will surely be regarded as a standard text in both astrostatistics and physical statistics. Joseph M. Hilbe , President, International Astrostatistics Association, Professor Emeritus, University of Hawaii, and Adjunct Professor of Statistics, Arizona State University
Series Volume Number
4
Number of Volumes
1 vol.
Illustrated
Yes
Original Language
English
Table Of Content
Recipes.- A Bit of Theory.- A Bit of Numerical Computation.- Single Parameter Models.- The Prior.- Multi-parameters Models.- Non-random Data Collection.- Fitting Regression Models.- Model Checking and Sensitivity Analysis.- Bayesian vs Simple Methods.- Appendix: Probability Distributions.- Appendix: The third axiom of probability, conditional probability, independence and conditional independence.
Synopsis
Statistical literacy is critical for the modern researcher in Physics and Astronomy. This book empowers researchers in these disciplines by providing the tools they will need to analyze their own data. Chapters in this book provide a statistical base from which to approach new problems, including numerical advice and a profusion of examples. The examples are engaging analyses of real-world problems taken from modern astronomical research. The examples are intended to be starting points for readers as they learn to approach their own data and research questions. Acknowledging that scientific progress now hinges on the availability of data and the possibility to improve previous analyses, data and code are distributed throughout the book. The JAGS symbolic language used throughout the book makes it easy to perform Bayesian analysis and is particularly valuable as readers may use it in a myriad of scenarios through slight modifications."This book is comprehensive, well written, and will surely be regarded as a standard text in both astrostatistics and physical statistics.""This book is comprehensive, well written, and will surely be regarded as a standard text in both astrostatistics and physical statistics."Joseph M. Hilbe, President, International Astrostatistics Association, Professor Emeritus, University of Hawaii, and Adjunct Professor of Statistics, Arizona State University, Statistical literacy is critical for the modern researcher in Physics and Astronomy. This book empowers researchers in these disciplines by providing the tools they will need to analyze their own data. Chapters in this book provide a statistical base from which to approach new problems, including numerical advice and a profusion of examples. The examples are engaging analyses of real-world problems taken from modern astronomical research. The examples are intended to be starting points for readers as they learn to approach their own data and research questions. Acknowledging that scientific progress now hinges on the availability of data and the possibility to improve previous analyses, data and code are distributed throughout the book. The JAGS symbolic language used throughout the book makes it easy to perform Bayesian analysis and is particularly valuable as readers may use it in a myriad of scenarios through slight modifications. This book is comprehensive, well written, and will surely be regarded as a standard text in both astrostatistics and physical statistics. Joseph M. Hilbe, President, International Astrostatistics Association, Professor Emeritus, University of Hawaii, and Adjunct Professor of Statistics, Arizona State University
LC Classification Number
QA276-280
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