Suthakaran Ratnasingam

Research

Areas of Interest

  • Change Point Analysis
  • Sequential Data Analysis
  • Statistical Inferences
  • High-dimensional Data Analysis
  • Bounds and Inequalities

I am happy to work with undergraduate and graduate students. If you are interested in a research project or thesis, please contact me.

Peer Reviewed Publications

* - denotes joint first authors;
+ - denotes undergraduate/graduate students who work with me.

  1. Li, M., Ratnasingam, S., Tian, Y., Ning, W. (2024), Change Point Detection in Length-biased Lognormal Distribution. Communications in Statistics - Simulation and Computation. [pdf]

  2. Ratnasingam, S., Gamage, R. D. P. (2024), Empirical Likelihood Change Point Detection in Quantile Regression Models. Computational Statistics. [pdf]

  3. 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]

  4. Ratnasingam, S., Muñoz-Lopez, J.+ (2023), Distance Correlation-Based Feature Selection in Random Forest. Entropy, 25(9), 1250. [pdf]

  5. 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]

  6. 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]

  7. 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]

  8. 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]

  10. 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]

  11. 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]

  12. Ratnasingam, S., Ning, W. (2021), Monitoring Sequential Structural Changes in Penalized High-Dimensional Linear Models. Sequential Analysis, 40(3), 381-404. [pdf]

  13. 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]

  14. 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]

  15. 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]

  16. 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]

  17. 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]