Stochastic Geometry Stochastic Geometry
    • ¥32,800

発行者による作品情報

Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Monte Carlo, have enormously extended the range of feasible applications. Stochastic Geometry: Likelihood and Computation provides a coordinated collection of chapters on important aspects of the rapidly developing field of stochastic geometry, including:

o a "crash-course" introduction to key stochastic geometry themes

o considerations of geometric sampling bias issues

o tesselations

o shape

o random sets

o image analysis

o spectacular advances in likelihood-based inference now available to stochastic geometry through the techniques of Markov chain Monte Carlo

ジャンル
科学/自然
発売日
2019年
6月10日
言語
EN
英語
ページ数
408
ページ
発行者
CRC Press
販売元
Taylor & Francis Group
サイズ
31.7
MB
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