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Springer Sequential Monte Carlo Methods in Practice - Springer

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Description

Sequential Monte Carlo Methods in Practice is a comprehensive guide to SMC techniques from Springer, offering practical insights into advanced probabilistic computation. This resource covers the theoretical foundations and real-world applications of sequential Monte Carlo, equipping readers with methods for solving complex inference problems in dynamic systems. Whether you are working with filtering, smoothing, or parameter estimation, this book provides the tools and knowledge needed to implement SMC algorithms effectively in your research and professional work. Ideal for statisticians, engineers, and data scientists seeking to master modern computational methods.

Key Features

Springer publishes this comprehensive guide to sequential Monte Carlo methods with practical implementation focus.

The book covers both theoretical foundations and applied techniques for solving complex inference problems.

Includes methods for filtering, smoothing, and parameter estimation in dynamic systems.

Provides practical guidance for statisticians, engineers, and data scientists implementing SMC algorithms.

Offers real-world applications and examples that demonstrate how to use sequential Monte Carlo in practice.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 November 2012
Listed Since
06 October 2014

Barcode

No barcode data available

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