Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height
Author:   Erik Vanem ,  Elzbieta Maria Bitner-Gregersen ,  Christopher K. Wikle
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of the original 1st ed. 2013
Volume:   2
ISBN:  

9783662521977


Pages:   262
Publication Date:   23 August 2016
Format:   Paperback
Availability:   In Print   Availability explained
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Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height


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Author:   Erik Vanem ,  Elzbieta Maria Bitner-Gregersen ,  Christopher K. Wikle
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of the original 1st ed. 2013
Volume:   2
Dimensions:   Width: 15.50cm , Height: 1.50cm , Length: 23.50cm
Weight:   4.336kg
ISBN:  

9783662521977


ISBN 10:   3662521970
Pages:   262
Publication Date:   23 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Preface.- Acronyms.- 1.Introduction and Background.- 2.Literature Survey on StochasticWave Models.- 3.A Bayesian Hierarchical Space-Time Model for Significant Wave Height.- 4.Including a Log-Transform of the Data.- 6.Bayesian Hierarchical Modelling of the Ocean Windiness.- 7.Application: Impacts on Ship Structural Loads.- 8.Case study: Modelling the Effect of Climate Change on the World’s Oceans.- 9.Summary and Conclusions.- A.Markov Chain Monte Carlo Methods.- B.Extreme Value Modelling.- C.Markov Random Fields.- D.Derivation of the Full Conditionals of the Bayesian Hierarchical Space-Time Model for Significant Wave Height.- E.Sampling from a Multi-normal Distribution.

Reviews

The core of this book is the development of a space-time model for significant wave heights. ... the models are carefully constructed and executed. They should serve as a useful guide to anyone who wishes to experiment with similar techniques and I recommend this book to researchers interested in exploring time series data by Bayesian methods. (George Z. Forristall, Journal of Ocean Engineering and Marine Energy, Vol. 1, 2015)


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