Publication of new book by Prof Sujit Sahu: 'Bayesian Modeling of Spatio-Temporal Data with R'

S3RI is delighted to announce that Prof Sujit Sahu is publishing his book, “Bayesian Modeling of Spatio-Temporal Data with R”, on Wednesday 2nd of March. The book is an introductory text on Bayesian modelling and computation and spatial and spatio-temporal data modelling. The book provides an interdisciplinary approach to Bayesian modelling that strives to be accessible not only to BSc, MSc and PhD students in Mathematics and Statistics but also to a wider audience of many researchers in the applied sciences ranging from biological and climate sciences to demography, economics, medicine and oceanography.

Here is a quick video preview of the book published on Twitter:

https://twitter.com/Sujit_K_Sahu/status/1493173873705197569

On Twitter, Prof Sir David Spiegelhalter noted: “I’ve seen this, and it looks excellent. And with Covid examples!”

Many other Twitter users welcomed the timely book that fills a gap in the literature. For example,

Prof Giovanna Jona-Lasinio, Sapienza University of Rome, Italy noted the following:

"This book fills an essential gap in the literature about spatial-temporal data modelling. It provides a valuable gentle introduction to the theory and current practice of Bayesian modelling without the need for the reader to fully master the deep statistical theories underpinned by rigorous calculus-based mathematics. Every topic in the book is linked to elaborations in R that takes the reader to the practical level quickly. The book provides valuable insights on all the steps of spatial-temporal data analysis, from the initial exploration to the more refined models. The language is not too technical, and the students will really appreciate chapter 2, ‘Jargon of Spatial and Spatio-Temporal Modelling’ summarising all relevant definitions in the field. I teach a class on spatial statistics, and I will be happy to use this book as a suggested textbook."