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
Tabla de Contenidos:
  • 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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