Bayesian Methods for the Physical Sciences

Learning from Examples in Astronomy and Physics

  • Stefano Andreon
  • Brian Weaver

Part of the Springer Series in Astrostatistics book series (SSIA, volume 4)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Stefano Andreon, Brian Weaver
    Pages 1-2
  3. Stefano Andreon, Brian Weaver
    Pages 3-13
  4. Stefano Andreon, Brian Weaver
    Pages 15-20
  5. Stefano Andreon, Brian Weaver
    Pages 21-34
  6. Stefano Andreon, Brian Weaver
    Pages 35-49
  7. Stefano Andreon, Brian Weaver
    Pages 51-97
  8. Stefano Andreon, Brian Weaver
    Pages 99-119
  9. Stefano Andreon, Brian Weaver
    Pages 121-190
  10. Stefano Andreon, Brian Weaver
    Pages 191-205
  11. Stefano Andreon, Brian Weaver
    Pages 207-228
  12. Back Matter
    Pages 229-238

About this book


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


Bayesian astrostatistics Bayesian methods for astronomy Fitting regression models in physical sciences Parameter models physics Probability distributions Sensitivity analysis and model checking

Authors and affiliations

  • Stefano Andreon
    • 1
  • Brian Weaver
    • 2
  1. 1.INAFOsservatorio Astronomico di BreraMilanoItaly
  2. 2.Statistical SciencesLos Alamos National LaboratoryLos AlamosUSA

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-15286-8
  • Online ISBN 978-3-319-15287-5
  • Series Print ISSN 2199-1030
  • Series Online ISSN 2199-1049
  • Buy this book on publisher's site