Saumen Mandal

Research and Teaching Interests

Dr. Saumen Mandal is a professor in the Department of Statistics. He obtained his Ph.D. (Statistics) from the University of Glasgow, U.K., and M.Sc. (Statistics) and B.Sc. Honours (Statistics) from the University of Calcutta, India. During his doctoral research at the University of Glasgow, he received the ORS (Overseas Research Scholarship) Award from the Council of Vice Chancellors and Principals (CVCP), London, U.K. He was ranked first (First Class First, Gold Medal) in M.Sc. (Statistics) at the University of Calcutta. His areas of research interest include optimal regression design, constrained optimization, optimal response-adaptive design, balanced incomplete block design, goodness-of-fit tests and linear models. He received numerous awards including the Dr. and Mrs. H.H. Saunderson Award for excellence in teaching, Students Choice Best Professor Award, Merit Awards in teaching and research, Teaching Recognition Award 3 years in a row from the University of Manitoba. He holds a P.Stat. designation from the Statistical Society of Canada.

Research interests: Optimal experimental design, Shrinkage estimation, Biostatistics, Data science, Constrained optimization, Optimal response-adaptive design, Linear models, Goodness-of-fit tests, Categorical random variables.

 

Awards:

• Faculty of Science Award for Innovation in Teaching, 2020.
• Merit Award in Teaching, University of Manitoba, 2019.
• Students Choice Best Professor Award from the University of Manitoba Science Students Association, Faculty of Science, 2014.
• Dr. and Mrs. H.H. Saunderson Award for Excellence in Teaching, University of Manitoba, 2011.
• Merit Award in Teaching, University of Manitoba, 2011.
• Merit Award in Teaching, University of Manitoba, 2010.
• Teaching Excellence Award for Exemplary Teaching of 1000 and 2000 level courses, University of Manitoba Science Students’ Association, Faculty of Science, 2007.
• Teaching Excellence Award for Exemplary Teaching of 3000 and 4000 level courses, University of Manitoba Science Students’ Association, Faculty of Science, 2006.
• Merit Award in Teaching and Research (combined), University of Manitoba, 2006.
• Faculty Access Award, Student Accessibility Services, University of Manitoba, 2006.
• Teaching Excellence Award for Exemplary Teaching of 3000 and 4000 level courses, University of Manitoba Science Students’ Association, Faculty of Science, 2005.
• Merit Award in Teaching, University of Manitoba, 2004.

 

Recent Publications: 

• Hossain, S., Mandal, S., Lac, L.A. (2022). Pretest and Stein-type shrinkage estimators in generalized partially linear models with application to real data. Canadian Journal of Statistics. Accepted.
• Mandal, S., Samanta, M. and Biswas, A. (2022). An analysis of variance test for normality of two distributions. Under review.
• Bowala, S., Singh, J., Thavaneswaran, A., Thulasiram, R., Mandal, S. (2022). Comparison of fuzzy risk forecast intervals for cryptocurrencies. IEEE Computational Intelligence for Financial Engineering and Economics (CIFEr), pp. 1-8.
• Singh, J., Bowala, S., Thavaneswaran, A., Thulasiram, R., Mandal, S. (2022). Data-Driven and Neuro Volatility Fuzzy Forecasts for Cryptocurrencies. IEEE World Congress on Computational Intelligence (FUZZ IEEE), pp. 1-8.
• Mahmoudi, A., Arabi Belaghi, R., and Mandal, S. (2020). A comparison of preliminary test, Stein-type and penalty estimators in gamma regression model. Journal of Statistical Computation and Simulation, 90(17), 3051-3079.
• Chowdhury, M., Chen, M. and Mandal, S. (2020). A class of optimization problems on minimizing variance based criteria in respect of parameter estimators of a linear model. Communications in Statistics-Simulation and Computation, 49(10), 2719-2731.
• Mandal, S., Arabi Belaghi, R., Mahmoudi, A. and Aminnejad, M. (2019). Stein-type shrinkage estimators in gamma regression model with application to prostate cancer data. Statistics in Medicine, 38(22), 4310-4322.
• Hossain, S., Hiebert, I. and Mandal, S. (2019). Estimation strategy of multilevel model for ordinal longitudinal data. Japanese Journal of Statistics and Data Science (a Springer Journal), 2(2), 299-322.
• Banerjee, B., Biswas, A., Ong, S. and Mandal, S. (2019). Cochran-Mantel-Haenszel test with bivariate binomial model on surrogate marker analysis. Communications in Statistics – Case Studies, Data Analysis and Applications. Accepted.
• Zheng, X. and Mandal, S. (2018). Construction of A-optimal designs for linear models. Proceedings of Manitoba’s Undergraduate Science and Engineering Research 4(1), 63-68.
• Chowdhury, M.; Mandal, S.; Ghosh, D.K. and Bagui, S.C. (2017). Optimal structure (k) designs for comparing test treatments with a control. Journal of Statistical Theory and Applications, 16(1), 96-107.
• Mandal, S.; Torsney, B. and Chowdhury, M. (2017). Optimal designs for minimising covariances among parameter estimators in a linear model. Australian & New Zealand Journal of Statistics, 59(3), 255-273.
• Thavaneswaran, A., Mandal, S. and Pathmanathan, D. (2016). Estimation for wrapped zero-inflated Poisson and wrapped Poisson distributions. International Journal of Statistics and Probability, 5(3), 1-8.
• Mandal, S. and Yang, Y. (2015). Ds-optimal designs in polynomial regression models. Advances and Applications in Statistics, 45(3), 167-179.
• Appadoo, S.S., Thavaneswaran, A. and Mandal, S. (2014). Mellin’s transform and application to some time series models. ISRN Applied Mathematics 2014, 1-12.
• Mandal, S. and Biswas, A. (2014). Shift-invariant target in allocation problems. Statistics in Medicine 33, 2597-2611.
• Saha, S.R., Samanta, M. and Mandal, S. (2014). Efficient estimation of parameters of the extreme value distribution. Sankhya B, 76, 190-209.
• Samanta, M. and Mandal, S. (2014). A note on uniform strong consistency of a recursive estimator of a density function. Journal of Probability and Statistical Science. Accepted, in press.
• Biswas, A., Banerjee, B. and Mandal, S. (2013). Optimal Sample Proportion for a Two-Treatment Clinical Trial in the Presence of Surrogate Endpoints. In Advances in Model-Oriented Design and Analysis – mODa 10. (Editors: Ucinski, D., Atkinson, A.C. and Patan, M.), 27-34. Springer, Switzerland., 2013.
• Mandal, S.; Ghosh, D.K. and Bagui, S.C. (2013). Robustness of a class of variance balanced designs against the loss of one or two blocks. Utilitas Mathematica 92, 221-234.
• Mandal, S.; Samanta, M. and Chen, H. (2013). An analysis of variance test for exponentiality of two distributions: Complete and censored samples. Sankhya B 75(2), 195-215.
• Mandal, S., Biswas, A., Trandafir, P.C. and Chowdhury, M.Z. (2013). Optimal target allocation proportion for correlated binary responses in a 2×2 set up. Statistics and Probability Letters 83(9), 1991-1997.
• Appadoo, S.S.; Thavaneswaran, A. and Mandal, S. (2012). RCA model with quadratic GARCH innovation distribution. Applied Mathematics Letters, 25(10), 1452–1457.
• Mandal, S.; Zhu, C.; Ghosh, D.K. and Bagui, S.C. (2012). Characteristics of BIBD and complementary BIBD in terms of triplets of treatments. Journal of Applied Statistical Science, 19, 67–71.
• Biswas, A.; Mandal, S. and Bhattacharya, R. (2011). Multi-treatment optimal response-adaptive designs for phase III clinical trials. Journal of the Korean Statistical Society, 40, 33–44.
• Mandal, S. (2011). Construction of approximate optimal regression designs. Journal of Statistical Theory and Applications, 10, 229–243.
• Mandal, S. (2011). Contribution to a discussion on ”What does the mean mean?” by N.N. Watier, C. Lamontagne and S. Chartier, Journal of Statistics Education, 19, 1-20. Statistical Society of Canada Liaison, 25, 33–34.
• Mandal, S. (2011). Optimal regression design. In International Encyclopedia of Statistical Science, (Editor: Lovric, M.),Part 15, 1023–1025. Springer, 2011.
• Biswas, A. and Mandal, S. (2010). Descriptive measures for nominal categorical variables. Statistics and Probability Letters, 80, 982–989.
• Biswas, A. and Mandal, S. (2010). Optimal allocation proportion for a two-treatment clinical trial having correlated binomial responses. In Advances in Model-Oriented Design and Analysis – mODa 9. (Editors: Giovagnoli, A., Atkinson, A.C., Torsney, B., Co-editor: May, C.)41–48. Physica-Verlag, Springer, 2010.
• Biswas, A. and Mandal, S. (2009). Contribution to discussion on ”A Hybrid Selection and Testing Procedure with Curtailment for Comparative Clinical Trials” by Elena M. Buzaianu and Pinyuen Chen. Sequential Analysis: Design Methods and Applications, 28, 21–25.
• Mandal, S.; Ghosh, D.K.; Chhug, S. and Bagui, S.C. (2008). Diallel crosses with block sizes three. In Trends in Applied Statistics Research (Editor: Ahsanullah, M.),Chapter 8, 81–93. Nova Science Publishers, New York, 2008.
• Mandal, S.; Ghosh, D.K.; Sharma, R. and Bagui, S.C. (2008). A complete class of balanced incomplete block designs (7, 35, 15, 3, 5). Statistics and Probability Letters, 78, 3338–3343.
• Thannippara, A.; Joseph, O.C.; Ghosh, D.K.; Bagui, S.C. and Mandal, S. (2008). E-optimal group divisible (GD) designs. Journal of Statistical Studies, 27, 51–56.
• Biswas, A. and Mandal, S. (2007). Optimal three-treatment response-adaptive designs for phase III clinical trials with binary responses. In Advances in Model-Oriented Design and Analysis – mODa 8. (Editors: Lopez-Fidalgo, J., Rodriguez-Diaz, J.M. and Torsney, B.),33–40. Physica-Verlag, Springer, 2007.
• Mandal, S. and Samanta, M. (2007). A unified approach to efficient estimation in simple linear regression. Sankhya, 69, 635–647.
• Thannippara, A.; Kurian, B.; Ghosh, D.K.; Bagui, S.C. and Mandal, S. (2007). Hypercubic designs and applications. Statistical Papers, 48, 503–508.
• Mandal, S.; Ghosh, D.K. and Bagui, S.C. (2006). Nested partially balanced incomplete block designs. Journal of Statistical Theory and Applications, 5, 41–52.
• Mandal, S. and Samanta, M. (2006). A large sample approximation of the O-BLUE of a location parameter. Journal of Statistical Theory and Applications, 5, 343–350.
• Mandal, S. and Samanta, M. (2006). O-BLUE and minimum MSE linear estimator of the location parameter of an exponential distribution with known coefficient of variation. Advances and Applications in Statistics, 6, 121–128.
• Mandal, S. and Torsney, B. (2006). Construction of optimal designs using a clustering approach. Journal of Statistical Planning and Inference, 136, 1120–1134.
• Mandal, S., Ghosh, D.K., Chhug, S. and Bagui, S.C. (2006). Diallel crosses with block sizes three. Journal of Applied Statistical Science, 15, 215–227.
• Torsney, B. and Mandal, S. (2006). Two classes of multiplicative algorithms for constructing optimizing distributions. Computational Statistics and Data Analysis, 51, 1591–1601.
• Mandal, S.; Torsney, B. and Carriere, K.C. (2005). Constructing optimal designs with constraints. Journal of Statistical Planning and Inference, 128, 609–621.
• Biswas, A. and Mandal, S. (2004). Optimal adaptive designs in phase III clinical trials for continuous responses with covariates. In Advances in Model-Oriented Design and Analysis – mODa 7, (Editors: Bucchianico, A.D., Lauter, H., Wynn, H.P.),51–59. Physica-Verlag, Springer, 2004.
• Torsney, B. and Mandal, S. (2004). Multiplicative algorithms for constructing optimizing distributions: Further developments. In Advances in Model-Oriented Design and Analysis – mODa 7, (Editors: Bucchianico, A.D., Lauter, H., Wynn, H.P.),163–171. Physica-Verlag, Springer, 2004.

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