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This book provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. These methods have become a staple for the se
Sequential Monte Carlo Methods in Practice
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Monte Carlo methods are revolutionizing the on-line analysis of data in many fileds. They have made it possible to solve numerically many complex, non-standard
Elements of Sequential Monte Carlo
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Written in a tutorial style, this monograph introduces the basics of Sequential Monte Carlo, discusses practical issues, and reviews theoretical results before
Sequential Monte Carlo Methods for Nonlinear Discrete-time Filtering
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In these notes, we introduce particle filtering as a recursive importance sampling method that approximates the minimum-mean-square-error (MMSE) estimate of a s
Monte Carlo Statistical Methods
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We have sold 4300 copies worldwide of the first edition (1999). This new edition contains five completely new chapters covering new developments.