Particle Filters for Random Set Models by Branko Ristic

By Branko Ristic

This book discusses country estimation of stochastic dynamic platforms from noisy measurements, in particular sequential Bayesian estimation and nonlinear or stochastic filtering. the category of recommendations provided during this ebook relies  at the Monte Carlo statistical strategy. even supposing 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 concept have supplied new possibilities which aren't well known and are coated during this publication. This ebook is perfect for graduate scholars, researchers, scientists and engineers drawn to Bayesian estimation.

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