Introducing monte carlo methods with R/ Christian P. Robert, George Casella
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
Contents:
1 Basic R Programming.
2 Random Variable Generation
3 Monte Carlo Integration.
4 Controlling and Accelerating Convergence.
5 Monte Carlo Optimization.
6 Metropolis#x2013;
7 Hastings Algorithms.
8 Gibbs Samplers.
9 Convergence Monitoring and Adaptation for MCMC Algorithms.
Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
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Central Library, Sikkim University General Book Section | 518.282 ROB/I (Browse shelf(Opens below)) | Available | P41342 |
Total holds: 0
1 Basic R Programming.
2 Random Variable Generation
3 Monte Carlo Integration.
4 Controlling and Accelerating Convergence.
5 Monte Carlo Optimization.
6 Metropolis#x2013;
7 Hastings Algorithms.
8 Gibbs Samplers.
9 Convergence Monitoring and Adaptation for MCMC Algorithms.
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