Description: Bayesian Modeling of Spatio-Temporal Data with R by Sujit Sahu Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description 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. Publisher Description 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• Included are R code notes detailing the algorithms used to produce all the tables and figures, with data and code available via an online supplement• Two dedicated chapters discuss practical examples of spatio-temporal modeling of point referenced and areal unit data• Throughout, the emphasis has been on validating models by splitting data into test and training sets following on the philosophy of machine learning and data scienceThis book is designed to make spatio-temporal modeling and analysis accessible and understandable to a wide audience of students and researchers, from mathematicians and statisticians to practitioners in the applied sciences. It presents most of the modeling with the help of R commands written in a purposefully developed R package to facilitate spatio-temporal modeling. It does not compromise on rigour, as it presents the underlying theories of Bayesian inference and computation in standalone chapters, which would be appeal those interested in the theoretical details. By avoiding hard core mathematics and calculus, this book aims to be a bridge that removes the statistical knowledge gap from among the applied scientists. Author Biography 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. Details ISBN 0367277980 ISBN-13 9780367277987 Title Bayesian Modeling of Spatio-Temporal Data with R Author Sujit Sahu Format Hardcover Year 2022 Pages 434 Publisher Taylor & Francis Ltd GE_Item_ID:134539367; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 145.2 USD
Location: Fairfield, Ohio
End Time: 2024-12-02T07:06:15.000Z
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ISBN-13: 9780367277987
Book Title: Bayesian Modeling of Spatio-Temporal Data with R
Number of Pages: 411 Pages
Language: English
Publication Name: Bayesian Modeling of Spatio-Temporal Data with R
Publisher: CRC Press LLC
Publication Year: 2022
Subject: Mathematical & Statistical Software, Probability & Statistics / Regression Analysis, Probability & Statistics / General, Probability & Statistics / Bayesian Analysis
Type: Textbook
Item Weight: 41.1 Oz
Item Length: 9.2 in
Author: Sujit Sahu
Subject Area: Mathematics, Computers
Item Width: 6.1 in
Series: Chapman and Hall/Crc Interdisciplinary Statistics Ser.
Format: Hardcover
