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Advanced Markov Chain Monte Carlo Methods
- Learning from Past Samples
part of the Wiley Series in Computational Statistics series
- Binding:
- Hardback
- Pages:
- 384
- Published:
- July 15, 2010
- Dimensions:
- 233x159x26 mm.
- Weight:
- 724 g.
Delivery:
2-4 weeks
Expected delivery: January 26, 2025
Extended return policy to January 30, 2025
Description of Advanced Markov Chain Monte Carlo Methods
* Presents the latest developments in Monte Carlo research. * Provides a toolkit for simulating complex systems using MCMC. * Introduces a wide range of algorithms including Gibbs sampler, Metropolis-Hastings and an overview of sequential Monte Carlo algorithms.
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