KB Kulasekera, PhD

Bioinformatics and Biostatistics

Chair and Professor
Assistant Dean for Academic Affairs
Room No. Rm 139, 485 E. Gray St.
Louisville, KY 40202
Phone: 502-852-6422
Fax: 502-852-3294



PhD - University of Nebraska (1988) Statistics
MA - University of New Brunswick (1983) Statistics
BS - University of Sri Jayawardenepura (1980) Mathematics and Statistics

I joined the Department of Bioinformatics & Biostatistics in July 2012 as the chair and a tenured full professor. Previously I was a full professor and the graduate coordinator in Mathematical Sciences at Clemson University where I started my career as an assistant professor in 1988. I have published numerous refereed research papers in statistics journals. Some of my research has been supported by the NIH, ONR and the NSF.

Research Interests

My main research interests are in Survival Analysis, Multivariate Methods and Regression, Nonparametric Inference, Smoothing Methods, Varying Coefficient Models, Variable and Model Selection and Group Testing. Currently I am involved in several projects in group testing and variable/model selection.

Honors and Awards

Fellow of the American Statistical Association

Elected Member of the International Statistical Institute



Applied Nonparametric Statistics in Reliability (2011) by Gamiz, M.L., Kulasekera, K.B., Limnios, N., and Lindqvist, B.H., Springer Series in Reliability Engineering.

Recent articles

Qi Zheng,  K.B. Kulasekera and  Colin Gallagher, 2015,  “A Hybrid Adaptive LASSO”, to appear in  Communications in Statistics.

Dewei Wang,  Colin Gallagher, Chris McMahan, and  K.B. Kulasekera, 2014, “Single Index Group Testing Models”,  Biometrika, Pages 587-598.

C. Kuruwita,  K.B. Kulasekera and  Colin Gallagher, 2014, “Testing Equality of Nonparametric Quantile Regression Functions”, International Journal of Statistics and Probability, Pages 55-66.

Qi Zheng, K.B. Kulasekera and Colin Gallagher, 2013, "Adaptively weighted kernel regression", The Journal of Nonparametric Statistics, Pages 855 - 872.

Qi Zheng, K.B. Kulasekera and Colin Gallagher, 2013, "Adaptive penalized quantile regression for high dimensional data", Journal of Statistical Planning and Inference, Volume 143, Issue 6, Pages 1029–1038.

June Luo and K.B Kulasekera, 2013,  “Error covariance matrix estimation using ridge estimator”, Statistics & Probability Letters, Volume 83, Issue 1, Pages 257–264

Dewei Wang, Haiming Zhou and K.B. Kulasekera, 2012, "A semi-local likelihood regression estimator of the proportion based on group testing data", Journal of Nonparametric Statistics, Volume 25, Issue 1, Pages 209-221

Dewei Wang and K.B. Kulasekera, 2012, “Parametric component detection and variable selection in varying-coefficient partially linear models”, The Journal of Multivariate Analysis, Volume 112, Pages 117-129.

C. Kuruwita, K.B. Kulasekera and Colin Gallagher, 2011, ``Varying Coefficient Model with Unknown Link", Biometrika, Vol 98, pp 701-710.

K.B. Kulasekera and Lin Wei , 2010, ``Variance Estimation in Single Index Models", Australian and New Zealand Journal of Statistics, Vol 52, pp 201-219.

K.B. Kulasekera, Colin Gallagher and Qi Zheng, 2010, ``Local Adaptive Smoothing in Kernel Regression Estimation", Statistics & Probability Letters, Vol 10, pp 540-547.

K.B. Kulasekera and Lin Wei , 2010, ``Testing the Equality of Two Single Index Models", {\em The Journal of Multivariate Analysis} , Vol 101 , pp 1156-1167.

Kuruwita, C.N., Kulasekera, K.B. and, Padgett, W.J. , 2010, ``On Boundary Bias and Bandwidth Selection in Density Estimation with Censored Data", The Journal of Statistical Planning and Inference, Vol 140, pp 1765-1774.

K.B. Kulasekera and Meng Zhao, 2009, ``Minimax Risk of Linear Functionals under $L_{2}$ Loss", Journal of Statistical Planning and Inference, Vol 139, pp 3160-3176.

K.B. Kulasekera and Meng Zhao, 2008, ``A Pointwise Bayes Type Estimator of The Survival Probability with Censored Data", Statistics & Probability Letters, Vol 78, pp 2597-2063.

Lin, Wei and K.B. Kulasekera, 2007, ``Uniqueness of a Single Index Model ", Biometrika, Vol 94, pp 496-501.

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