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: a 'crash-course' introduction to key stochastic geometry themes; considerations of geometric sampling bias issues; tesselations; shape; random sets; image analysis; and spectacular advances in likelihood-based inference now available to stochastic geometry through the techniques of Markov chain Monte Carlo.
發表於2024-11-27
Stochastic Geometry 2024 pdf epub mobi 電子書 下載
圖書標籤: 隨機幾何 概率論
Stochastic Geometry 2024 pdf epub mobi 電子書 下載