Bayesian Analysis of Stochastic Process Models von David Insua | ISBN 9780470744536

Bayesian Analysis of Stochastic Process Models

von David Insua, Fabrizio Ruggeri und Mike Wiper
Mitwirkende
Autor / AutorinDavid Insua
Autor / AutorinFabrizio Ruggeri
Autor / AutorinMike Wiper
Buchcover Bayesian Analysis of Stochastic Process Models | David Insua | EAN 9780470744536 | ISBN 0-470-74453-7 | ISBN 978-0-470-74453-6
Leseprobe

Bayesian Analysis of Stochastic Process Models

von David Insua, Fabrizio Ruggeri und Mike Wiper
Mitwirkende
Autor / AutorinDavid Insua
Autor / AutorinFabrizio Ruggeri
Autor / AutorinMike Wiper
Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and important applied models.
Key features:
* Explores Bayesian analysis of models based on stochastic processes, providing a unified treatment.
* Provides a thorough introduction for research students.
* Computational tools to deal with complex problems are illustrated along with real life case studies
* Looks at inference, prediction and decision making.
Researchers, graduate and advanced undergraduate students interested in stochastic processes in fields such as statistics, operations research (OR), engineering, finance, economics, computer science and Bayesian analysis will benefit from reading this book. With numerous applications included, practitioners of OR, stochastic modelling and applied statistics will also find this book useful.