Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height - Tapa blanda

Sinopsis

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.

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