Stochastic Geometry, Spatial Statistics and Random Fields: Models and Algorithms
Volker Schmidt (eds.)This volume is an attempt to provide a graduate level introduction to various aspects of stochastic geometry, spatial statistics and random fields, with special emphasis placed on fundamental classes of models and algorithms as well as on their applications, e.g. 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 seen 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.
Категории:
Год:
2015
Издание:
1
Издательство:
Springer International Publishing
Язык:
english
Страницы:
464
ISBN 10:
3319100645
ISBN 13:
9783319100647
Серия:
Lecture Notes in Mathematics 2120
Файл:
PDF, 14.03 MB
IPFS:
,
english, 2015