Mr. Jayabrata Biswas
Assistant Professor
Department: Department of StatisticsPhone Number: +91 - 9051470242
Institutional E-Mail: jayabratastat26@klyuniv.ac.in
Educational Qualifications:
B.Sc. in Statistics (Honours) from Ramakrishna Mission Residential College, Narandrapur (under The University of Calcutta)
M.Stat. from Indian Statistical Institute, Kolkata
Ph.D. in Statistics from Indian Statistical Institute, Kolkata
Bayesian Quantile Regression
Longitudinal Study
Zero-Inflated Distribution
Guest Lecturer, Pratibandhi Kalyan Kendra, Bandel (2018-2019)
Assistant Professor, Barrackpore Rastraguru Surandranath College, Barrackpore (2019 – 2020)
Assistant Professor, The University of Burdwan, Purba Burdwan (2020 – 2026)
Assistant Professor, The University of Kalyani, Nadia (2026 – till date)
Member of Board of Studies (both UG and PG) in The University of Burdwan
Member of Board of Research Studies in The University of Burdwan
External Examiner in The University of Calcutta, Viswa-Bharati University
1. J Biswas, H Kulkarni, & K Das (2017). Quantile regression in biostatistics. Biostatistics and Biometrics Open Access Journal, Volume 2.
2. P Bhuyan, J Biswas, P Ghosh, & K Das (2018). A Bayesian two-stage regression approach of analysing longitudinal outcomes with endogeneity and incompleteness. Statistical Modelling, Volume 19, 157-173.
3. H Kulkarni, J Biswas, & K Das (2019). A joint quantile regression model for multiple longitudinal outcomes. AStA Advances in Statistical Analysis, Volume 103, 453–473.
4. J Biswas & K Das (2019). A Bayesian approach of analysing semi-continuous longitudinal data with monotone missingness. Statistical Modelling, Volume 20, 148-170.
5. J Biswas, P Ghosh, & K Das (2020). A Bayesian joint quantile regression approach to zero-inflated incomplete longitudinal outcomes. AStA Advances in Statistical Analysis Volume 104, 261–283.
6. A Chatterjee, J Biswas, & K Das (2020). An automated patient monitoring using discrete-time wireless sensor networks. International Journal of Communication Systems, https://doi.org/10.1002/dac.4390
7. J Biswas & K Das (2021). A Bayesian quantile regression approach to multivariate semi-continuous longitudinal data. Computational Statistics, Volume 36, 241-260.
1. A Bayesian joint quantile regression approach to zero-inflated incomplete longitudinal outcomes, Young Statisticians Meet (YSM) 2021, Indian Statistical Institute, Kolkata, March 2021 (Invited Lecture)
2. An Introduction to a Statistical Software – R, 7 days’ Workshop on Statistical Technique used in Research, 6-12 February, 2024, Department of Statistics, The University of Burdwan (Invited Lecture)
3. Talks on “Python Programming” and “Time Series Analysis”, 30 Hrs. Short term course on Data Science, 11-18 June 2024, Jointly organized by CIESD and Department of Statistics, The University of Burdwan (Invited Lecture)
4. Statistical Analysis using PYTHON, A Short Course on Numerical Analysis with Python, 18-25 November, 2024, Organized by University Science Instrumentation Centre (USIC), The University of Burdwan (Invited Lecture)
5. Talks on “Principal Component Analysis” and “Clustering Technique” using PYTHON, National Workshop on Machine Learning using Python, 29-31 January, 2025, Organized by Department of Mathematics and Statistics, Aliah University, Kolkata (Invited Lecture)
6. Talks on “ Data Visualization using Python” with special emphasis on ‘matplotlib’ library, Three-day Executive Training Program on Python, 18-20 September, 2025, Organized by Sridharacharya Academy of Mathematical Science and Raja N.L. Khan Women’s College, Midnapore (Invited Lecture)
Life member of Calcutta Statistical Association (CSA)
ORCID ID https://orcid.org/0000-0002-1437-9598SCOPUS ID https://www.scopus.com/authid/detail.uri?authorId=57203411863
Google Scholar ID https://scholar.google.com/citations?user=z-5C964AAAAJ&hl=en
VIAF ID https://buruniv.irins.org/profile/237281
Notable Activities
Reviewed paper for the Journal : Sankhya, Series B ; ASJA (Asian Journal of Statistics and Applications)