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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Schmidt, Volker (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
Σειρά:Lecture Notes in Mathematics, 2120
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.