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Stochastic Geometry, Spatial Statistics and Random Fields Models and Algorithms

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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 were considered with a focus on asymptotic methods.

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Detail Information

Series Title

70 b/w illustrations, 63 illustrations in colour

Call Number

XXIV, 464

Publisher

Springer Cham : Springer Cham., 2015

Collation

-

Language

English

ISBN/ISSN

978-3-319-10064-7

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

-

Edition

1

Subject(s)

Stochastic Geometry
Spatial Statistics

Specific Detail Info

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Statement of Responsibility

Volker Schmidt

Other Information

Cataloger

Suwardi

Source

https://link.springer.com/book/10.1007/978-3-319-10064-7

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