Assistant Professor of Environmental Statistics
Research Interests:My research is focused on building better predictive models through improved estimation of regression parameters. I am interested in the development and application of James-Stein type shrinkage estimation in parametric and semiparametric regression models and their comparisons with LASSO and absolute penalty estimators. In the event of a trade-off between bias and prediction error, James-Stein-type methods tend to achieve reduced overall prediction error that offsets the bias in the estimation.
Other areas of interest include Bayesian and MCMC methods; spatial analysis of environmental and health data; high-dimensional data analysis; data mining and machine learning; statistical genetics; meta analysis; application of statistical methods in environment, public health and epidemiology.
Other Interests: Nature study, bird watching, photography.
Education: BSc., MSc (Applied Statistics): University of Dhaka (Bangladesh)
MSc (Statistics): McMaster University (Canada)
PhD (Statistics): University of Windsor (Canada)