Stochastic Geometry, Spatial Statistics and Random Fields Models and
Providing a graduate level introduction to various aspects of stochastic geometry, spatial statistics and random fields, this volume places a special emphasis on fundamental classes of models and algorithms as well as on their applications, for example in
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Volker Schmidt Editor
Stochastic Geometry, Spatial Statistics and Random Fields Models and Algorithms
Lecture Notes in Mathematics Editors-in-Chief: Jean-Michel Morel, Cachan CX Bernard Teissier, Paris Advisory Board: Camillo De Lellis (Zürich) Mario di Bernardo (Bristol) Alessio Figalli (Austin) Davar Khoshnevisan (Salt Lake City) Ioannis Kontoyiannis (Athens) Gabor Lugosi (Barcelona) Mark Podolskij (Aarhus C) Sylvia Serfaty (Paris) Catharina Stroppel (Bonn) Anna Wienhard (Heidelberg)
More information about this series at http://www.springer.com/series/304
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Volker Schmidt Editor
Stochastic Geometry, Spatial Statistics and Random Fields Models and Algorithms
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Editor Volker Schmidt Ulm University Institute of Stochastics Ulm, Germany
ISBN 978-3-319-10063-0 ISBN 978-3-319-10064-7 (eBook) DOI 10.1007/978-3-319-10064-7 Springer Cham Heidelberg New York Dordrecht London Lecture Notes in Mathematics ISSN print edition: 0075-8434 ISSN electronic edition: 1617-9692 Library of Congress Control Number: 2014949195 Mathematics Subject Classification (2010): 60D05, 60G55, 60G60, 62H11, 62M40, 62P30, 62P10 © 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. 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)
Preface
This volume is an attempt to provide a graduate le
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