Stochastic Geometry, Spatial Statistics and Random Fields Models and Algorithms /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Schmidt, Volker (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Series: Lecture Notes in Mathematics, 2120
• Subjects: Mathematics.; Algorithms.; Mathematical models.; Geometry.; Probabilities.; Probability Theory and Stochastic Processes.; Mathematical Modeling and Industrial Mathematics.
• Physical Description: XXIV, 464 p. 133 illus., 63 illus. in color. online resource.
• ISBN: 9783319100647
• ISSN: 0075-8434 ;

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.