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Perfect simulation /
Exact sampling, specifically coupling from the past (CFTP), allows users to sample exactly from the stationary distribution of a Markov chain. During its nearly 20 years of existence, exact sampling has evolved into perfect simulation, which enables high-dimensional simulation from interacting distr...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press, Taylor & Francis Group,
[2016]
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| Colección: | Monographs on statistics and applied probability (Series) ;
148. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Front Cover; Contents; List of Figures; List of Tables; Preface; Chapter 1: Introduction; Chapter 2: Acceptance/Rejection; Chapter 3: Coupling from the Past; Chapter 4: Bounding Chains; Chapter 5: Advanced Techniques Using Coalescence; Chapter 6: Coalescence on Continuous and Unbounded State Spaces; Chapter 7: Spatial Point Processes; Chapter 8: The Randomness Recycler; Chapter 9: Advanced Acceptance/Rejection; Chapter 10: Stochastic Differential Equations; Chapter 11: Applications and Limitations of Perfect Simulation; Bibliography; Back Cover.