Prof. Apratim Guha

Prof. Apratim Guha

Qualification : Ph.D. in Statistics

Email : apratim at

Functional Area : Production, Operations & Decision Sciences

Brief Profile  

Educational Qualification

Doctorate: Ph.D. in Statistics from the University of California, Berkeley: July 2005.

Master of Arts: M.A. in Statistics from the University Of California, Berkeley: May 2002.
Master of Statistics: M.Stat. from the Indian Statistical Institute, Calcutta: May 2000. (First Division with Distinction).
Bachelor of Statistics: B.Stat. (Hons.) from the Indian Statistical Institute, Calcutta: May 1998. (First Division with Distinction). 

Total Experience (in months)
 195 (as on 20-DEC-21)

Experience Detail  

I obtained my PhD from the Department of Statistics, University of California, Berkeley in 2005. My PhD supervisor was Prof. David Brillinger, and here is my PhD geneology.

Before joining XLRI in 2019, I have worked, reverse chronologically, at IIM Ahmedabad as an associate professor (2012-2019), the School of Mathematics, University of Birmingham, UK as a lecturer (2008-2012), and at the Department of Statistics and Applied Probability, National University of Singapore as an assistant professor (2005-2008). 

Please note: I do not need any research interns for my research. It is therefore not possible for me to reply to internship requests individually. I apologize to the interested students for the same.


Prof. Apratim Guha

Prof. Apratim Guha

Achievements and Research Interest/Area of Research Interests

Academic Distinction (Awards and Scholarships)


Adminstrative Distinction

Other Achievements


Faculty Development Programs Attended

Courses Taught

Consultancy Undertaken

In-Company Programs


Journal Articles-Refereed

  1. Attaining herd immunity to a new infectious disease through multi-stage policies incentivising voluntary vaccination (With Saransh Kejriwal, Sarjan Sheth, P. S. Silpa and Sumit Sarkar) Chaos, Solitons & Fractals, Volume 154, 2022, 111710.

  2. Application of pooled testing in estimating the prevalence of COVID-19 (With Pritha Guha and Tathagata Bandyopadhyay) Health Services and Outcomes Research Methodology, August 2021.
    Older version:

  3. Economic production lot sizing under imperfect quality, on-line inspection, and inspection errors: Full vs. sampling inspection (With Dipankar Bose). Computers & Industrial Engineering, July 2021, 107565.

  4. Gravity and depth of social media networks (With Pritha Guha, Avijit Bansal and Anindya S Chakrabarti) Journal of Complex Networks, Volume 9, Issue 2, April 2021, cnab016,

  5. A non-parametric two-sample test using a general φ-divergence based mutual information (With Atanu Biswas and Abhik Ghosh) Statistica Neerlandica, pg. 180-202, Volume 75, Issue 2, May 2021,

  6. Measuring Complexity in Financial Data (With Gaurang Singh Yadav and Anindya S. Chakrabarti) Frontiers in Physics, 2020 |

  7. A note on “Economic production quantity in batch manufacturing with imperfect quality, imperfect inspection, and destructive and non-destructive acceptance sampling in a two-tier market” (With Dipankar Bose) Computers & Industrial Engineering, Article 106609. Vol. 146, 2020.

  8. Analysing the impact of music on the perception of red wine via temporal dominance of sensations (With Qian Janice Wang, Bruno Mesz, Pablo Riera, Marcos Trevisan, Mariano Sigman and Charles Spence) Multisensory Research. Vol. 32 (4-5) 2019.

  9. Time series characteration of gaming workload for runtime power management. (With B. Dietrich, D. Goswami, S. Chakraborty and M. Gries.) IEEE Transactions on Computers, pg. 260-273, Vol. 64(1), 2015.

  10. Assessing the dependence structure of the components of hybrid processes using mutual information. Sankhya Series B, pg. 256-292, Vol. 77(2), 2015. 

  11. A mutual information-based k-sample test for discrete distributions (With R. Drake) Journal of Applied Statistics, pg. 2011-2027, Vol. 41(9), 2014
  12. Auto-association measures for stationary time series of categorical data. (With A. Biswas, and M. C. Pardo) TEST, pg. 487-514, Vol. 23(3), 2014.
  13. Meta-analyss of test accuracy studies with multiple and missing thresholds: a multivariate-normal model. (With R. D. Riley, Y. Takwoingi, T. Trikalinos, A. Biswas, J. Ensor, R. K. Morris and J. J. Deeks.) Journal of Biometrics & Biostatistics 5:196. 2014.
  14. Modelling and coherent forecasting of zero inflated count time series (With R. Maii, A. Biswas and S. H. Ong) Statistical Modelling: An International Journal, pg. 375-398, Vol. 14(5), 2014.
  15. A two sample test based on mutual information (With T. Chothia) Calcutta Statistical Association Bulletin, pg. 39-54, Vol. 66 (261-262), 2014.
  16. Some analyses of the interaction among local field potentials and neuronal discharges in a mouse using mutual information. Journal of the Indian Society of Agricultural Statistics. pg. 117-129, Vol. 68(2), 2014.
  17. Time series analysis of hybrid neurophysiological data and applicaion of mutual information. (With A. Biswas) Journal of Computational Neuroscience, pg. 35-47, Vol. 29, 2010.
  18. Time series analysis of categorical data using auto-mutual information (With A. Biswas) Journal of Statistical Planning and Inference, pg. 3076-3087, Vol. 139, 2009.
  19. An overview of modeling techniques for hybrid brain data (With A. Biswas) Statistica Sinica, pg. 1311-1340, Vol. 137, 2008.
  20. Deterministic neural dynamics transmitted through neural networks (With Dr. Yoshiyuki Asai and Prof. Alessandro E.P. Villa) Neural Networks, pg. 799-809. Vol. 21, 2008.
  21. Mutual information in the frequency domain (With Prof. David Brillinger) Journal of Statistical Planning and Inference, pg. 1076-14, Vol. 17, 2007.
  22. Analysis of scoring rate in a limited over cricket match. Calcutta Statistical Association Bulletin, pg. 249-259, Vol. 5, 2003


Published Research Monographs

Scholarly Books

Chapters in Scholarly books

  1. Statistical measurement of information leakage. (With K. Chatzikokolakis and T. Chothia.) Tools and Algorithms for the Construction and Analysis of Systems, Lecture Notes in Computer Science, 6015. Springer. Pg. 390-404. 2010.
  2. Time series of categorical data using auto-mutual information with application of fitting an AR(2) model. (With A. Biswas.) Advances in Multivariate Statistical Methods, Statistical Science and Interdisciplinary Research, Vol. 4, pg. 421-435, 2009.

Conference Proceedings-Refereed

  1. A statistical test for information leaks using continuous mutual information. (With T. Chothia) Computer Security Foundations Symposium (CSF), Pg. 177-190, IEEE 24th. 2011.

Paper Presentations-Refereed

Text Books

Research Report

Working paper

Key note presentation

Published articles in newspapers/magazines

Cases developed for Teaching purpose

Anar Chemicals and Adulteration of Auto Fuels. Registration No: XLCDC1901. XLRI Case Development Centre (XLCDC) (2019) [Jointly with Prof. Tathagata Bandyopadhyay]. Expanded and registered with Sage Business Cases in 2020.