Using R For Bayesian Spatial And Spatio-temporal Health Modeling Av Andrew B. (university Of South Carolina Columbia Usa) Lawson

Progressively more and more attention has been paid to how location affects health outcomes. The area of disease mapping focusses on these problems, and the Bayesian paradigm has a major role to play in the understanding of the complex interplay of context and individual predisposition in such studies of disease. Using R for Bayesian Spatial and Spatio-Temporal Health Modeling provides a major resource for those interested in applying Bayesian methodology in small area health data studies.Features:<UL><LI>Review of R graphics relevant to spatial health data</LI><LI>Overview of Bayesian methods and Bayesian hierarchical modeling as applied to spatial data</LI><LI>Bayesian Computation and goodness-of-fit</LI><LI>Review of basic Bayesian disease mapping models </LI><LI>Spatio-temporal modeling with MCMC and INLA</LI><LI>Special topics include multivariate models, survival analysis,

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Butikk	Produktnavn	Lagerstus	Pris
	Using R For Bayesian Spatial And Spatio-temporal Health Modeling Av Andrew B. (university Of South Carolina Columbia Usa) Lawson	Se butikk	kr 1099.00	Besøk butikk

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Using R For Bayesian Spatial And Spatio-temporal Health Modeling Av Andrew B. (university Of South Carolina Columbia Usa) Lawson

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