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Springer Monte Carlo and Quasi-Monte Carlo Methods 2008 - Springer

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Description

Monte Carlo and Quasi-Monte Carlo Methods 2008 by Springer is a comprehensive academic volume featuring tutorials and invited articles on advanced computational simulation techniques. The book covers Monte Carlo and Quasi-Monte Carlo applications in statistics and finance, including Particle Markov Chain Monte Carlo, computational complexity of Metropolis-Hastings methods in high dimensions, and sensitivity estimates for compound sums. It explores new perspectives on low-discrepancy sequences, variable subspace sampling, multi-level algorithms, and Markov Chain Monte Carlo theory and practice. The collection also presents MINT features and results alongside contributed research articles, making it an essential resource for researchers, statisticians, and finance professionals seeking to understand and apply sophisticated numerical simulation methods in their work.

Key Features

Springer publication covering Monte Carlo and Quasi-Monte Carlo methods with tutorials suitable for both beginners and advanced practitioners.

Monte Carlo computation in finance section provides practical applications and strategies for financial modelling and analysis.

Particle Markov Chain Monte Carlo content enables efficient numerical simulation for complex probabilistic systems and inference problems.

Quasi-Monte Carlo rules discussion includes techniques for achieving higher order convergence in numerical integration and sampling.

Markov Chain Monte Carlo algorithms section covers comprehensive theory and practical implementation strategies for statistical computation.

Multi-level and variable subspace sampling algorithms offer advanced approaches for reducing computational complexity in large-scale simulations.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
25 November 2009
Listed Since
30 July 2009

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