Bayesian analysis of stochastic process models
"This book provides analysis of stochastic processes from a Bayesian perspective with coverage of the main classes of stochastic processing, including modeling, computational, inference, prediction, decision-making and important applied models based on stochastic processes. In offers an introdu...
| Autor principal: | |
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| Otros Autores: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
Wiley
2012.
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| Edición: | 1st edition |
| Colección: | Wiley series in probability and statistics.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628075306719 |
| Sumario: | "This book provides analysis of stochastic processes from a Bayesian perspective with coverage of the main classes of stochastic processing, including modeling, computational, inference, prediction, decision-making and important applied models based on stochastic processes. In offers an introduction of MCMC and other statistical computing machinery that have pushed forward advances in Bayesian methodology. Addressing the growing interest for Bayesian analysis of more complex models, based on stochastic processes, this book aims to unite scattered information into one comprehensive and reliable volume"-- "A unique book on Bayesian analyses of stochastic process based models"-- |
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| Notas: | Description based upon print version of record. |
| Descripción Física: | 1 online resource (316 p.) |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9781280589935 9786613619761 9781118304037 9780470975916 9780470975923 |
