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|a Stochastic Geometry, Spatial Statistics and Random Fields
|h [electronic resource] :
|b Models and Algorithms /
|c edited by Volker Schmidt.
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|a 1st ed. 2015.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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|a XXIV, 464 p. 133 illus., 63 illus. in color.
|b online resource.
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|a Lecture Notes in Mathematics,
|x 1617-9692 ;
|v 2120
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|a 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.
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|a 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.
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|a Probabilities.
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|a Mathematical models.
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|a Algorithms.
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|a Geometry.
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|a Probability Theory.
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|a Mathematical Modeling and Industrial Mathematics.
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|a Algorithms.
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|a Geometry.
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|a Schmidt, Volker.
|e editor.
|4 edt
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|t Springer Nature eBook
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|i Printed edition:
|z 9783319100654
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|i Printed edition:
|z 9783319100630
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|a Lecture Notes in Mathematics,
|x 1617-9692 ;
|v 2120
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|u https://doi.uam.elogim.com/10.1007/978-3-319-10064-7
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|a Mathematics and Statistics (SpringerNature-11649)
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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