Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height
This book provides an example of a thorough statistical treatment in space and time of ocean wave data. It is demonstrated how the flexible framework of Bayesian hierarchical space-time models can be applied to oceanographic processes such as significant
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Erik Vanem
Bayesian Hierarchical Space–Time Models with Application to Significant Wave Height
Ocean Engineering & Oceanography Volume 2
Series Editors Manhar R. Dhanak, Florida Atlantic University, Boca Raton, FL, USA Nikolas Xiros, University of New Orleans, New Orleans, LA, USA
For further volumes: http://www.springer.com/series/10524
Erik Vanem
Bayesian Hierarchical Space–Time Models with Application to Significant Wave Height
123
Foreword by
Author Erik Vanem Department of Mathematics University of Oslo Oslo Norway
Elzbieta Maria Bitner-Gregersen Det Norske Veritas Høvik Norway Christopher K. Wikle Department of Statistics University of Missouri Columbia, MO USA
ISSN 2194-6396 ISBN 978-3-642-30252-7 DOI 10.1007/978-3-642-30253-4
ISSN 2194-640X (electronic) ISBN 978-3-642-30253-4 (eBook)
Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2013941499 Mathematics Subject Classification (2010): 62P12, 60K40, 86A32, 60H30, 60G15 Ó Springer-Verlag Berlin Heidelberg 2013 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. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. 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. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Foreword
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