Can I read Bayesian Modelling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics) on EtoBox?

Bayesian Modelling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics) by SUJIT KUMAR. SAHU is a nonfiction available to read on EtoBox.

What is Bayesian Modelling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics) about?

Applied sciences, both physical and social, such as atmospheric, biological, climate, demographic, economic, ecological, environmental, oceanic and political, routinely gather large volumes of spatial and spatio-temporal data in order to make wide ranging inference and prediction. Ideally such inferential tasks should be approached through modelling, which aids in estimation of uncertainties in all conclusions drawn from such data. Unified Bayesian modelling, implemented through user friendly software packages, provides a crucial key to unlocking the full power of these methods for solving challenging practical problems. Key features of the book: * Accessible detailed discussion of a majority of all aspects of Bayesian methods and computations with worked examples, numerical illustrations and exercises * A spatial statistics jargon buster chapter that enables the reader to build up a vocabulary without getting clouded in modeling and technicalities * Computation and modeling illustrations are provided with the help of the dedicated R package bmstdr, allowing the reader to use well-known packages and platforms, such as rstan, INLA, spBayes, spTimer, spTDyn, CARBayes, CARBayesST, etc

Who reads Bayesian Modelling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics)?

Author

SUJIT KUMAR. SAHU

Publisher

CRC Press, Taylor & FrancisGroup

Published

2022

Language

EN

ISBN

9781000543612

Category

nonfiction

Subjects

Mathematics, Computer Science, Sociology