Stochastic Geometry, Spatial Statistics and Random Fields : Models and Algorithms / edited by Volker Schmidt.

Format:

Book

Contributor:

Schmidt, Volker (Professor of applied probability and statistics), editor.

SpringerLink (Online service)

Series:

Lecture Notes in Mathematics, 0075-8434 ; 2120.

Lecture Notes in Mathematics, 0075-8434 ; 2120

Language:

English

Subjects (All):

Distribution (Probability theory).

Algorithms.

Geometry.

Probability Theory and Stochastic Processes.

Mathematical Modeling and Industrial Mathematics.

Local Subjects:

Probability Theory and Stochastic Processes.

Mathematical Modeling and Industrial Mathematics.

Algorithms.

Geometry.

Physical Description:

1 online resource (XXIV, 464 pages 133 illustrations, 63 illustrations in color).

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2015.

System Details:

text file PDF

Summary:

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.

Contents:

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.

Other Format:

Printed edition:

ISBN:

9783319100647

Access Restriction:

Restricted for use by site license.