Stochastic geometry, spatial statistics and random fields : models and algorithms /
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Imprint: | Cham : Springer, [2014] ©2015 |
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Description: | 1 online resource (xxiv, 464 pages) : illustrations (some color). |
Language: | English |
Series: | Lecture Notes in Mathematics, 0075-8434 ; 2120 Lecture notes in mathematics (Springer-Verlag) ; 2120. |
Subject: | Stochastic geometry -- Congresses. Spatial analysis (Statistics) -- Congresses. Mathematics. Probability Theory and Stochastic Processes. Geometry. Spatial analysis (Statistics) Stochastic geometry. Electronic books. Conference papers and proceedings. |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11089502 |
Summary: | This volume is an attempt to provide a graduate level introduction to various aspects of stochastic geometry, spatial statistics and random fields, with special emphasis placed on fundamental classes of models and algorithms as well as on their applications, e.g. in materials science, biology and genetics.This book has a strong focus on simulations and includes extensive codes in Matlab and R which are widely used in the mathematical community. It can be seen as a continuation of the recent volume 2068 of Lecture Notes in Mathematics, where other issues of stochastic geometry, spatial statistics and random fields wereconsidered with a focus on asymptotic methods. |
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Physical Description: | 1 online resource (xxiv, 464 pages) : illustrations (some color). |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 9783319100647 3319100645 9783319100630 |
ISSN: | 0075-8434 ; |