New PDF release: Particle Filters for Random Set Models

By Branko Ristic

ISBN-10: 1461463157

ISBN-13: 9781461463153

ISBN-10: 148998884X

ISBN-13: 9781489988843

This book discusses kingdom estimation of stochastic dynamic structures from noisy measurements, particularly sequential Bayesian estimation and nonlinear or stochastic filtering. the category of suggestions provided during this publication is predicated  at the Monte Carlo statistical strategy. even though the ensuing  algorithms, often called particle filters, were round for greater than a decade, the hot theoretical advancements of sequential Bayesian estimation within the framework of random set conception have supplied new possibilities which aren't well known and are lined during this booklet. This booklet is perfect for graduate scholars, researchers, scientists and engineers attracted to Bayesian estimation.

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Particle Filters for Random Set Models by Branko Ristic


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