About
Sujit Sahu is a Professor of Statistics at the 黑料社. He has co-authored more than 60 papers on Bayesian computation and modeling of spatio-temporal data. He is the author of the book Bayesian modeling of spatio-temporal data with R published by Chapman and Hall/CRC Press.
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Research
Research interests
- Applied Bayesian modelling
- Bayesian computation
- Spatio-temporal data modelling
- Statistical inference and data analysis
Current research
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.
Prof Sahu鈥檚 research aims to tackle such problems by developing cutting edge statistical methods implemented through user friendly software packages. He has recently published a comprehensive R package bmstdr available through both Github and CRAN (a public repository), for modelling and analysing a large variety of complex data sets. In 2022, he has also published a comprehensive and critically acclaimed text book on Bayesian Modelling of Spatio-Temporal Data with R. Further details are available on his .
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Current research
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Supervision
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Teaching
Prof Sahu is highly interested in teaching statistics and applied Bayesian modelling at all levels 鈥 both under- and post-graduate. He is currently publishing a text book, 鈥淚ntroduction to Probability and Statistics for Data Based Sciences鈥. This text covers a range of applied and theoretical topics starting with introductions to probability , statistics and also R, a statistics software package. Readers of this book are able to learn applied Bayesian modelling from the other text book on Bayesian Modelling of Spatio-Temporal Data with R published by Prof Sahu. This last book also serves as an introductory text for spatial and spatio-temporal data modelling for a variety of practical issues such air pollution, cancer rates, child poverty rates and Covid-19 case and death rates.
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Biography
Sujit K. Sahu received his PhD in Statistics from the University of Connecticut, USA in 1994. Following his PhD, he worked as a post-doctoral fellow in the University of Cambridge and was a lecturer in Cardiff University briefly during 1997-1999. He joined the 黑料社 in 1999.
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