Stochastic geometry, spatial statistics and random fields : asymptotic methods
Author(s)
Bibliographic Information
Stochastic geometry, spatial statistics and random fields : asymptotic methods
（Lecture notes in mathematics, 2068）
Springer, c2013
Available at / 45 libraries
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Library, Research Institute for Mathematical Sciences, Kyoto University数研
L/N||LNM||2068200026166534
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Note
"It has been made out of selected contributions to the Summer Academy on Stochastic Geometry, Spatial Statistics and Random Fields, http://www.uni-ulm.de/summeracademy09 which took place during 13-26 Sep 2009 at Söllerhaus."--Pref
Includes bibliographical references (p. 421-440) and index
Description and Table of Contents
Description
This volume provides a modern introduction to stochastic geometry, random fields and spatial statistics at a (post)graduate level. It is focused on asymptotic methods in geometric probability including weak and strong limit theorems for random spatial structures (point processes, sets, graphs, fields) with applications to statistics. Written as a contributed volume of lecture notes, it will be useful not only for students but also for lecturers and researchers interested in geometric probability and related subjects.
Table of Contents
1 Foundations of stochastic geometry and theory of random sets.- 2 Introduction into integral geometry and stereology.- 3 Spatial point patterns - models and statistics.- 4 Asymptotic methods in statistics of random point processes.- 5 Random tessellations and Cox processes.- 6 Asymptotic methods for random tessellations.- 7 Random polytopes.- 8 Limit theorems in discrete stochastic geometry.- 9 Introduction to random fields.- 10 Central limit theorems for weakly dependent random fields.- 11 Strong limit theorems for increments of random fields.- 12 Geometry of large random trees: SPDE approximation.
by "Nielsen BookData"
