Bayesian Analysis of Stochastic Process Models

Nonfiction, Science & Nature, Mathematics, Probability, Statistics
Cover of the book Bayesian Analysis of Stochastic Process Models by Mike Wiper, Fabrizio Ruggeri, David Insua, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Mike Wiper, Fabrizio Ruggeri, David Insua ISBN: 9781118304037
Publisher: Wiley Publication: April 2, 2012
Imprint: Wiley Language: English
Author: Mike Wiper, Fabrizio Ruggeri, David Insua
ISBN: 9781118304037
Publisher: Wiley
Publication: April 2, 2012
Imprint: Wiley
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

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.

More books from Wiley

Cover of the book Business Coaching & Mentoring For Dummies by Mike Wiper, Fabrizio Ruggeri, David Insua
Cover of the book Taxation for Australian Businesses by Mike Wiper, Fabrizio Ruggeri, David Insua
Cover of the book Electrical, Electronics, and Digital Hardware Essentials for Scientists and Engineers by Mike Wiper, Fabrizio Ruggeri, David Insua
Cover of the book The Strategy Pathfinder by Mike Wiper, Fabrizio Ruggeri, David Insua
Cover of the book The Influence Game by Mike Wiper, Fabrizio Ruggeri, David Insua
Cover of the book Trend Trading by Mike Wiper, Fabrizio Ruggeri, David Insua
Cover of the book Sentiment Indicators by Mike Wiper, Fabrizio Ruggeri, David Insua
Cover of the book Nanomaterials in Drug Delivery, Imaging, and Tissue Engineering by Mike Wiper, Fabrizio Ruggeri, David Insua
Cover of the book How to Castrate a Bull by Mike Wiper, Fabrizio Ruggeri, David Insua
Cover of the book Philip A. Fisher Collected Works, Foreword by Ken Fisher by Mike Wiper, Fabrizio Ruggeri, David Insua
Cover of the book Behavioural Investing by Mike Wiper, Fabrizio Ruggeri, David Insua
Cover of the book A Companion to Digital Literary Studies by Mike Wiper, Fabrizio Ruggeri, David Insua
Cover of the book Laser Velocimetry in Fluid Mechanics by Mike Wiper, Fabrizio Ruggeri, David Insua
Cover of the book Measure What Matters by Mike Wiper, Fabrizio Ruggeri, David Insua
Cover of the book Experience Design by Mike Wiper, Fabrizio Ruggeri, David Insua
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy