Level sets and extrema of random processes and fields

Level Sets and Extrema of Random Processes and Fields discusses how to understand the properties of the level sets of paths as well as how to compute the probability distribution of its extremal values, which are two general classes of problems that arise in the study of random processes and fields...

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Bibliographic Details
Main Authors: Azaïs, Jean-Marc, 1957-
Group Author: Wschebor, Mario.
Published:
Literature type: Electronic eBook
Language: English
Subjects:
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9780470434642
Summary: Level Sets and Extrema of Random Processes and Fields discusses how to understand the properties of the level sets of paths as well as how to compute the probability distribution of its extremal values, which are two general classes of problems that arise in the study of random processes and fields and in related applications. This book provides a unified and accessible approach to these two topics and their relationship to classical theory and Gaussian processes and fields, and the most modern research findings are also discussed. The authors begin with an introduction to the basic concepts o.
Carrier Form: 1 online resource (xi, 393 p.) : ill.
Bibliography: Includes bibliographical references (p. 373-388) and index.
ISBN: 9780470434642 (electronic bk.)
0470434643 (electronic bk.)
9780470434635 (electronic bk.)
0470434635 (electronic bk.)
Index Number: QA274
CLC: O211.6
Contents: LEVEL SETS AND EXTREMA OF RANDOM PROCESSES AND FIELDS; CONTENTS; PREFACE; INTRODUCTION; 1 CLASSICAL RESULTS ON THE REGULARITY OF PATHS; 2 BASIC INEQUALITIES FOR GAUSSIAN PROCESSES; 3 CROSSINGS AND RICE FORMULAS FOR ONE-DIMENSIONAL PARAMETER PROCESSES; 4 SOME STATISTICAL APPLICATIONS; 5 THE RICE SERIES; 6 RICE FORMULAS FOR RANDOM FIELDS; 7 REGULARITY OF THE DISTRIBUTION OF THE MAXIMUM; 8 THE TAIL OF THE DISTRIBUTION OF THE MAXIMUM; 9 THE RECORD METHOD; 10 ASYMPTOTIC METHODS FOR AN INFINITE TIME HORIZON; 11 GEOMETRIC CHARACTERISTICS OF RANDOM SEA WAVES; 12 SYSTEMS OF RANDOM EQUATIONS