Introducing Monte Carlo Methods with R
Computational techniques based on simulation have now become an essential part of the statistician's toolbox. It is thus crucial to provide statisticians with a practical understanding of those methods, and there is no better way to develop intuition and skills for simulation than to use simula...
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | Livre numérique |
| Lenguaje: | Anglais |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer
[20..].
Cham : Springer Nature |
| Colección: | Use R
|
| Materias: | |
| Acceso en línea: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Introducing Monte Carlo methods with R, Christian P. Robert, George Casella, 2010, New York, Springer, 1 volume (xix-283 pages), Use R!, 978-1-4419-1575-7 |
Tabla de Contenidos:
- Basic R Programming
- Random Variable Generation
- Monte Carlo Integration
- Controlling and Accelerating Convergence
- Monte Carlo Optimization
- Metropolis#x2013;Hastings Algorithms
- Gibbs Samplers
- Convergence Monitoring and Adaptation for MCMC Algorithms