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Bayesian Modeling of Spatio-Temporal Data with R

Bayesian Modeling of Spatio-Temporal Data with R - Paperback

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Availability:In StockContributor:Sujit SahuSeries:Chapman & Hall/CRC Interdisciplinary StatisticsPublish date:2024-05-27Pages:434
Languages:EnglishPublisher:CRC PressISBN-13:9781032209579ISBN-10:1032209577UPC:9781032209579Book Category:Mathematics, ComputersBook Subcategory:Probability & Statistics, Mathematical & Statistical SoftwareBook Topic:Bayesian Analysis, Regression AnalysisSize:9.21 x 6.06 x 0.79 inchesWeight:1.6Product ID:SC7NHMC33S

This book is designed to make spatio-temporal modeling and analysis understandable to students and researchers, mathematicians and statisticians and practitioners in the applied sciences. By avoiding hardcore math and calculus, this book aims to be a bridge that removes the statistical knowledge gap from among the applied scientists.

Languages:EnglishPublisher:CRC PressISBN-13:9781032209579ISBN-10:1032209577UPC:9781032209579Book Category:Mathematics, ComputersBook Subcategory:Probability & Statistics, Mathematical & Statistical SoftwareBook Topic:Bayesian Analysis, Regression AnalysisSize:9.21 x 6.06 x 0.79 inchesWeight:1.6Product ID:SC7NHMC33S
Sujit K. Sahu is a Professor of Statistics at the University of Southampton. He has co-authored more than 60 papers on Bayesian computation and modeling of spatio-temporal data. He has also contributed to writing specialist R packages for modeling and analysis of such data.
Publisher: CRC Press

Contributor(s)

Sujit Sahu

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