Bayesian Methods for the Physical Sciences Learning from Examples in
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
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Stefano Andreon Brian Weaver
Bayesian Methods for the Physical Sciences Learning from Examples in Astronomy and Physics
Springer Series in Astrostatistics Editor-in-chief: Joseph M. Hilbe, Jet Propulsion Laboratory, and Arizona State University, USA Jogesh Babu, The Pennsylvania State University, USA Bruce Bassett, University of Cape Town, South Africa Steffen Lauritzen, Oxford University, UK Thomas Loredo, Cornell University, USA Oleg Malkov, Moscow State University, Russia Jean-Luc Starck, CEA/Saclay, France David van Dyk, Imperial College, London, UK
Springer Series in Astrostatistics, More information about this series at http://www.springer.com/series/1432
Springer Series in Astrostatistics Astrostatistical Challenges for the New Astronomy: ed. Joseph M. Hilbe Astrostatistics and Data Mining: ed. Luis Manuel Sarro, Laurent Eyer, William O’Mullane, Joris De Ridder Statistical Methods for Astronomical Data Analysis: by Asis Kumar Chattopadhyay & Tanuka Chattopadhyay
Stefano Andreon • Brian Weaver
Bayesian Methods for the Physical Sciences Learning from Examples in Astronomy and Physics
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Stefano Andreon INAF Osservatorio Astronomico di Brera Milano, Italy
Brian Weaver Statistical Sciences Los Alamos National Laboratory Los Alamos, NM, USA
ISSN 2199-1030 ISSN 2199-1049 (electronic) Springer Series in Astrostatistics ISBN 978-3-319-15286-8 ISBN 978-3-319-15287-5 (eBook) DOI 10.1007/978-3-319-15287-5 Library of Congress Control Number: 2015932855 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www. springer.com)
Preface
This book is a consultant’s guide for the researcher in astronomy or physics who is willing to analyze his (or her) own data by offering him (or her) a statistical background, some numerical advice, and a large number of
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