Interdisciplinary Bayesian Statistics EBEB 2014
Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comparison to objectivistic or frequentist Statistics counterparts; and the appropriate application of Bayesian foundations. This research in Bayesian Statisti
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More information about this series at http://www.springer.com/series/10533
Springer Proceedings in Mathematics & Statistics
This book series features volumes composed of select contributions from workshops and conferences in all areas of current research in mathematics and statistics, including operation research and optimization. In addition to an overall evaluation of the interest, scientific quality, and timeliness of each proposal at the hands of the publisher, individual contributions are all refereed to the high quality standards of leading journals in the field. Thus, this series provides the research community with well-edited, authoritative reports on developments in the most exciting areas of mathematical and statistical research today.
Adriano Polpo • Francisco Louzada Laura L. R. Rifo • Julio M. Stern Marcelo Lauretto Editors
Interdisciplinary Bayesian Statistics EBEB 2014
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Editors Adriano Polpo Federal University of Sao Carlos Sao Carlos Brazil Francisco Louzada University of Sao Paulo Sao Carlos Brazil Laura L. R. Rifo Campinas State University Campinas Brazil
Julio M. Stern Dept. of Applied Mathematics University of Sao Paulo Institute of Mathematics and Statistics Sao Paulo, São Paulo Brazil Marcelo Lauretto School of Arts, Sciences and Humanities University of Sao Paulo Sao Paulo, São Paulo Brazil
ISSN 2194-1009 ISSN 2194-1017 (electronic) Springer Proceedings in Mathematics & Statistics ISBN 978-3-319-12453-7 ISBN 978-3-319-12454-4 (eBook) DOI 10.1007/978-3-319-12454-4 Springer Cham Heidelberg New York Dordrecht London Library of Congress Control Number: 2014956382 © 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 is part of Springer Science+Business Media (www.springer.com)
Foreword
It is a great pleasure to preface EBEB 2014, the proceedings of the 12th Brazilian Meeting on Bayesian Statistics, which was attended by the ever-growing community of Brazil
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