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

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. Thi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Schmidt, Volker (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Lecture Notes in Mathematics, 2120
Temas:
Probabilities.
Mathematical models.
Algorithms.
Geometry.
Probability Theory.
Mathematical Modeling and Industrial Mathematics.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:XXIV, 464 p. 133 illus., 63 illus. in color. online resource.
ISBN:9783319100647
ISSN:1617-9692 ;

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