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Stochastic Geometry
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3404438Stochastic Geometryhttps://www.gandhi.com.mx/stochastic-geometry-9781351413718/phttps://gandhi.vtexassets.com/arquivos/ids/3860891/f7e62f75-b58d-40a9-84c2-6cb6aac016cb.jpg?v=63838598660823000043074307MXNCRC PressInStock/Ebooks/<p>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</p>...3340376Stochastic Geometry43074307https://www.gandhi.com.mx/stochastic-geometry-9781351413718/phttps://gandhi.vtexassets.com/arquivos/ids/3860891/f7e62f75-b58d-40a9-84c2-6cb6aac016cb.jpg?v=638385986608230000InStockMXN99999DIEbook20199781351413718_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9781351413718_<p>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:<br />o a crash-course introduction to key stochastic geometry themes<br />o considerations of geometric sampling bias issues<br />o tesselations<br />o shape<br />o random sets<br />o image analysis<br />o spectacular advances in likelihood-based inference now available to stochastic geometry through the techniques of Markov chain Monte Carlo</p>...(*_*)9781351413718_<p>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:<br />o a "crash-course" introduction to key stochastic geometry themes<br />o considerations of geometric sampling bias issues<br />o tesselations<br />o shape<br />o random sets<br />o image analysis<br />o spectacular advances in likelihood-based inference now available to stochastic geometry through the techniques of Markov chain Monte Carlo</p>...(*_*)9781351413718_<p>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</p>...9781351413718_CRC Presslibro_electonico_77f61be5-8832-3473-86d0-eaa755bc47a0_9781351413718;9781351413718_9781351413718InglésMéxicohttps://getbook.kobo.com/koboid-prod-public/taylorandfrancis-epub-378182e0-a819-4649-933f-4b77a9bec5e4.epub2019-06-10T00:00:00+00:00CRC Press