Asymptotic Methods for Random Tessellations
In this chapter, we are interested in two classical examples of random tessellations which are the Poisson hyperplane tessellation and Poisson–Voronoi tessellation. The first section introduces the main definitions, the application of an ergodic theorem a
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2068
Evgeny Spodarev Editor
Stochastic Geometry, Spatial Statistics and Random Fields Asymptotic Methods
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Editor Evgeny Spodarev University of Ulm Ulm, Germany
ISBN 978-3-642-33304-0 ISBN 978-3-642-33305-7 (eBook) DOI 10.1007/978-3-642-33305-7 Springer Heidelberg New York Dordrecht London Lecture Notes in Mathematics ISSN print edition: 0075-8434 ISSN electronic edition: 1617-9692 Library of Congress Control Number: 2012953997 Mathematics Subject Classification (2010): 60D05, 52A22, 60G55, 60G60, 60G57, 60F05, 60F15, 60J25, 62M30, 65C40 c 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)
. . . Geometry is the knowledge of the eternally existent. Plato, “Republic”, 527.
Foreword
Geometric intuition is central to many areas of statistics and probabilistic arguments. This is particularly true in the areas covered by this book, namely stochastic geometry, random fields and random geometric graphs. Nevertheless, intuition must be followed with rigorous arguments if it is to become part of the general literature of probability and statistics. Many such arguments in this area deviate from traditional statistics, requiring special (and often beautiful) tools outsid
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