Monte Carlo Methods and Bayesian Computation
Importance Sampling
Dados Bibliográficos
| ID | 23626864 |
|---|---|
| Autores | Roman Liesenfeld (0000-0001-6996-6215, University of Tübingen), Jean-Francois Richard, Jean‐francois Richard (0000-0003-4750-4380, University of Pittsburgh) |
| Ano | 2015 |
| Páginas | 758-762 |
| Data de publicação | 2015-01-01 |
| Open Access | Sim |
| Tipo | CHAPTER |
| Periódico | International Encyclopedia of the Social & Behavioral Sciences (SOURCE_BOOK) |
| Editora | Elsevier (PUBLISHER • RU) |
| DOI | 10.1016/b978-0-08-097086-8.42148-3 |
| OpenAlex | W1484598589 |
| ISBN | 9780080970868 |
| Idioma | EN |
| Referências citadas | 18 |
Algorithm · Arithmetic · Computation · Function (biology) · Generality · Hybrid Monte Carlo · Importance sampling · Markov chain Monte Carlo · Monte Carlo integration · Monte Carlo method · Physics · Probability density function · Rejection sampling · Remainder · Sampling (signal processing) · Statistical physics · Statistics · Applied Mathematics · Bayesian Methods and Mixture Models · Computer Science · Mathematics · Statistical Distribution Estimation and Applications · Statistical Methods and Bayesian Inference
| Altamente citado | Não |
|---|