Bayesian Analysis of Stochastic Process Models (Monografia o trattato scientifico)

Type

• Monografia o trattato scientifico (Classe)
• Prodotto della ricerca (Classe)

Label

• Bayesian Analysis of Stochastic Process Models (Monografia o trattato scientifico) (literal)

Anno

• 2012-01-01T00:00:00+01:00 (literal)

Alternative label

• David Insua, Fabrizio Ruggeri, Mike Wiper (2012)
  Bayesian Analysis of Stochastic Process Models
  John Wiley & Sons Ltd., Chichester (Regno Unito), 2012
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• David Insua, Fabrizio Ruggeri, Mike Wiper (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470744537.html (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 332 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Universidad Rey juan Carlos, Universidad Carlos III, CNR IMATI Milano (literal)

Titolo

• Bayesian Analysis of Stochastic Process Models (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 978-0-470-74453-6 (literal)

Abstract

• 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: oExplores Bayesian analysis of models based on stochastic processes, providing a unified treatment. oProvides a thorough introduction for research students. oComputational tools to deal with complex problems are illustrated along with real life case studies oLooks 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. (literal)

Editore

• John Wiley & Sons Ltd. (Editore)

Prodotto di

• Institute for applied mathematics and information technologies (IMATI) (Istituto)
• Modellizzazione di sistemi stocastici (ICT.P11.009.001) (Modulo)

Autore CNR

• FABRIZIO RUGGERI (Unità di personale interno)

Incoming links:

Prodotto

• Institute for applied mathematics and information technologies (IMATI) (Istituto)
• Modellizzazione di sistemi stocastici (ICT.P11.009.001) (Modulo)

Autore CNR di

• FABRIZIO RUGGERI (Unità di personale interno)

Editore di

• John Wiley & Sons Ltd. (Editore)