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＜電子ブック＞
Stochastic Geometry, Spatial Statistics and Random Fields : Models and Algorithms / edited by Volker Schmidt
(Lecture Notes in Mathematics. ISSN:16179692 ; 2120)

版	1st ed. 2015.
出版者	Cham : Springer International Publishing : Imprint: Springer
出版年	2015
本文言語	英語
大きさ	XXIV, 464 p. 133 illus., 63 illus. in color : online resource
著者標目	Schmidt, Volker editor SpringerLink (Online service)
件　名	LCSH:Probabilities LCSH:Mathematical models LCSH:Algorithms LCSH:Geometry FREE:Probability Theory FREE:Mathematical Modeling and Industrial Mathematics FREE:Algorithms FREE:Geometry
一般注記	Stein’s Method for Approximating Complex Distributions, with a View towards Point Processes -- Clustering Comparison of Point Processes, with Applications to Random Geometric Models -- Random Tessellations and their Application to the Modelling of Cellular Materials -- Stochastic 3D Models for the Micro-structure of Advanced Functional Materials -- Boolean Random Functions -- Random Marked Sets and Dimension Reduction -- Space-Time Models in Stochastic Geometry -- Rotational Integral Geometry and Local Stereology - with a View to Image Analysis -- An Introduction to Functional Data Analysis -- Some Statistical Methods in Genetics -- Extrapolation of Stationary Random Fields -- Spatial Process Simulation -- Introduction to Coupling-from-the-Past using R -- References.-Index 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 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 regarded 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 HTTP:URL=https://doi.org/10.1007/978-3-319-10064-7

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