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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...

  • Name : Bayesian Modeling of Spatio-Temporal Data with R
  • Vendor : CRC Press
  • Type : Books
  • Manufacturing : 2024 / 12 / 20
  • Barcode : 9781032209579
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Bayesian Modeling of Spatio-Temporal Data with R
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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.



Author: Sujit Sahu
Binding Type: Paperback
Publisher: CRC Press
Published: 05/27/2024
Series: Chapman & Hall/CRC Interdisciplinary Statistics
Pages: 434
Weight: 1.6lbs
Size: 9.21h x 6.06w x 0.79d
ISBN: 9781032209579

About the Author
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.

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