Stochastic geometry, spatial statistics and random fields [e-book] : models and algorithms / edited by Volker Schmidt

• Pubblicazione: Cham [Switzerland] : Springer International Publishing, 2015
• Descrizione fisica: 1 online resource
• Disciplina: 519.2
• Soggetto topico: Algorithms; Geometry; Distribution (Probability theory)
• Classificazione: AMS 60-06; AMS 60D05; AMS 60G60; AMS 62H11; LC QA274-274.9
• Altri autori: Schmidt, Volker
• Nota di contenuto: 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
• Sommario/riassunto: 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
• ISBN: 9783319100647
• Formato: Software
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 991002944349707536
• Lo trovi qui: Univ. del Salento
• Localizzazioni e accesso elettronico: http://link.springer.com/book/10.1007/978-3-319-10064-7
• Serie: Lecture notes in mathematics, 1617-9692 ; 2120