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Bayesian Methods for the Physical Sciences : Learning from Examples in Astronomy and Physics

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.

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Detail Information
Series Title
-
Call Number
651.8
Publisher
Cham : .,
Collation
XI, 238
Language
English
ISBN/ISSN
978-3-319-15287-5
Classification
651.8
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
STATISICS ON ENGINEERING
Specific Detail Info
-
Statement of Responsibility
Other Information
Cataloger
ratna
Source
https://link.springer.com/10.1007/978-3-319-15287-5
Validator
-
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