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Bayesian Methods for the Physical Sciences: Learning from Examples in Astronomy and Physics - Springer Series in Astrostatistics 4 (Paperback)
  • Bayesian Methods for the Physical Sciences: Learning from Examples in Astronomy and Physics - Springer Series in Astrostatistics 4 (Paperback)
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Bayesian Methods for the Physical Sciences: Learning from Examples in Astronomy and Physics - Springer Series in Astrostatistics 4 (Paperback)

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£76.50
Paperback 238 Pages / Published: 13/10/2016
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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

Publisher: Springer International Publishing AG
ISBN: 9783319367835
Number of pages: 238
Weight: 4327 g
Dimensions: 235 x 155 mm
Edition: Softcover reprint of the original 1st ed. 201


MEDIA 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)

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