Research
I am happy to work with undergraduate and graduate students. If you are interested in a research project or thesis, please contact me.
Areas of Interest
20)From, S. G., & Ratnasingam, S. (2026), Some New Bounds for the Dirichlet Beta Function, Aust. J. Math. Anal. Appl. 23(1), Art. 13, 1–22. pdf
19)Gu, C.*, & Ratnasingam, S.* (2025), Change Point Detection in SCAD-Penalized Dynamic Panel Models, Sequential Analysis 44(4), 377–403. pdf
18)From, S. G., & Ratnasingam, S. (2025), New Upper and Lower Bounds for the Upper Incomplete Gamma Function, Results in Applied Mathematics 25, 100552. pdf
17)Ratnasingam, S., & Gamage, R. D. P. (2025), Empirical Likelihood Change Point Detection in Quantile Regression Models, Computational Statistics 40, 999–1020. pdf
16)Li, M., Ratnasingam, S., Tian, Y., & Ning, W. (2024), Change Point Detection in Length-biased Lognormal Distribution, Communications in Statistics – Simulation and Computation 54(11), 4605–4622. pdf
15)Ratnasingam, S., Wallace, S.†, Amani, I.†, & Romero, J.† (2024), Nonparametric Confidence Intervals for Generalized Lorenz Curve Using Modified Empirical Likelihood, Computational Statistics 39, 3073–3090. pdf
14)Ratnasingam, S., & Muñoz-Lopez, J.† (2023), Distance Correlation-Based Feature Selection in Random Forest, Entropy 25(9), 1250. pdf
13)Gu, C.*, & Ratnasingam, S.* (2023), Real-Time Change Point Detection in Linear Models Using the Ranking Selection Procedure, Sequential Analysis 42(2), 129–149. pdf
12)Karunanithy, R., Ratnasingam, S., Holland, TE., & Sivakumar, P. (2023), Sensitive Detection of Human Epididymis Protein-4 (HE4) Ovarian Cancer Biomarker through Sandwich Type Immunoassay Method with Laser-Induced Breakdown Spectroscopy, Bioconjugate Chemistry 34(3), 501–509. pdf
11)Ratnasingam, S., & Ning, W. (2023), Change Point Detection in Linear Failure Rate Distribution Under Random Censorship, Journal of Statistical Theory and Practice 17(1), 1–22. pdf
10)Ratnasingam, S., & Ning, W. (2023), Confidence Intervals of Mean Residual Life Function in Length-Biased Sampling Based on Modified Empirical Likelihood, Journal of Biopharmaceutical Statistics 33(1), 114–129. pdf
9)From, S. G., & Ratnasingam, S. (2022), Some Efficient Closed-Form Estimators of the Parameters of the Generalized Pareto Distribution, Environmental and Ecological Statistics 29(4), 827–847. pdf R Package
8)From, S. G., & Ratnasingam, S. (2022), Some New Inequalities for the Beta Function and Certain Ratios of Beta Functions, Results in Applied Mathematics 15, 100302. pdf R Package
7)Li, M., Ratnasingam, S., & Ning, W. (2022), Empirical-Likelihood-Based Confidence Intervals for Quantile Regression Models with Longitudinal Data, Journal of Statistical Computation and Simulation 92(12), 2536–2553. pdf
6)Ratnasingam, S., & Ning, W. (2021), Monitoring Sequential Structural Changes in Penalized High-Dimensional Linear Models, Sequential Analysis 40(3), 381–404. pdf
5)From, S. G., & Ratnasingam, S. (2021), Some New Bounds for Moment Generating Functions of Various Life Distributions Using Mean Residual Life Functions, Journal of Statistical Theory and Practice 15(2), 1–14. pdf
4)Ratnasingam, S., & Ning, W. (2021), Modified Information Criterion for Regular Change Point Models Based on Confidence Distribution, Environmental and Ecological Statistics 28(2), 303–322. pdf
3)Ratnasingam, S., & Ning, W. (2021), Sequential Change Point Detection for High-Dimensional Data Using Nonconvex Penalized Quantile Regression, Biometrical Journal 63(3), 575–598. pdf supplementary
2)Ratnasingam, S., & Ning, W. (2020), Confidence Distributions for Skew Normal Change-Point Model Based on Modified Information Criterion, Journal of Statistical Theory and Practice 14(3), 1–21. pdf
1)From, S. G., & Ratnasingam, S. (2016), Some New Refinements of the Arithmetic, Geometric and Harmonic Mean Inequalities with Applications, Applied Mathematical Sciences 10(52), 2553–2569. pdf
* - denotes joint first authors;
† - denotes undergraduate/graduate students who work with me.