Biography
| Sujit Sahu is a Professor of Statistics at the University of Southampton. He is the author of the book Introduction to Probability, Statistics & R; Foundations for Data-Based Sciences, published by Springer Nature in 2024.
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| He is also the author of the book Bayesian modeling of spatio-temporal data with R published by Chapman and Hall/CRC Press. Here is a (Twitter) X video introducing the book. This textbook is one of the top 20 winners of the Book Authority Best Bayesian Statistics Books of All Time.
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Download Sujit’s resumé.
Interests
- Bayesian modeling
- Bayesian computation
- Spatio-temporal data modeling
Education
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PhD in Statistics, 1994
University of Connecticut
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Master of Statistics, 1989
Indian Statistical Institute
Publications
- Introduction to Probability, Statistics and R; Foundations for Data-Based Sciences
- Bayesian modeling of spatio-temporal data with R.
- All my research publications are listed on my publication page.
Experience and Employment
Supervision Record, Experience and Employment history
Post-graduate Supervision
Here is a list of all my past post-docs, PhD and MSc students.Research Grants Obtained
Education and Experience
Educational Qualifications and Experience.
Employment History
Professor, Senior Lecturer and Lecturer in Statistics
Lecturer in Statistics
Research Associate
R package ‘bmstdr’
The package source is available from CRAN and github. Here is a full version of the vignette.
- Please install the package directly from CRAN.
install.packages("bmstdr", dependencies = TRUE) - There is a long list of dependent packages that may need to be installed on your computer. You may find the commands in this R file useful to install those packages.
- Development version of the package can be installed from github using the R command:
devtools::install_github("sujit-sahu/bmstdr", build_vignettes = TRUE) - You may check the installation:
library(bmstdr) ls("package:bmstdr") browseVignettes('bmstdr') -
Here is a full version of the vignette. This version has not been distributed with the package because of file size limitation in CRAN.
- A pdf version of the manual is also available.
- Here is a conference poster for bmstdr.
Contact
- School of Mathematical Sciences, Southampton, SO17 1BJ
- DM Me
Ms Laura Scala (BSc)
😄 I loved learning about and exploring different modelling techniques in Statistics. I can confidently say that it was the best module I have taken in my fourth year. At times it was really challenging but Sujit guided me patiently and effectively which helped me progress with my research, thus making it fun, engaging and very enjoyable. The constant support provided encouraged me to aspire for a deeper understanding of the topic.
Ms Melody August (BSc)
I just wanted to say thank you for all the help you gave me, particularly in my last-minute panic to get it all done! I found the topic very interesting and something I could see myself doing in my future career. I enjoyed completing the project as it gave a better insight to what a career in data may involve, through cleaning and analyzing data and then writing a final report. You continued to push me to achieve my best.😄
Ms Xiaoqing Chen (MSc)
I have learned a lot from Prof Sahu. At first I was not sure if I would like all the coding in R. But he certainly made it easy for me to learn. 😄
Browse the bmstdr book