+94 24 222 0269 | headphy@vau.ac.lk

Mrs. Thayaparan Kayathiri

BSc (Hons) in Statistics (Jaffna), Ph.D(Reading, Peradeniya)

Lecturer (Probationary)

0778302809

tkaya@vau.ac.lk

Academic Records
  1. Ph.D. (Reading) at the Postgraduate Institute of Science, University of Peradeniya.
  2. Bachelor of Science  (Hons) Degree in Statistics (University of Jaffna, 2019) 
Admin Roles

Previous Academic Positions:

  1. Temporary Demonstrator, Department of Mathematics and Statistics, University of Jaffna, 2019 July – 2020 August.
  2. Temporary Assistant Lecturer, Department of Mathematics and Statistics, University of Jaffna, 2020 September – 2022 August.
  3. Temporary Assistant Lecturer, Department of Physical Science, University of Vavuniya, 2022 October – 2023 July.
Activities
Teaching
  1. Probability Theory
  2. Statistical Inference
  3. Regression Analysis.
Publications

Journal Articles.

  1. Arumairajan and S. Kayathiri, “A new stochastic restricted two-parameter estimator in multiple linear regression model,” Vavuniya Journal of Science, vol. 1, no. 1, 2022.  doi: 10.4038/vjs.v1i1.6.
  1. Kayathiri, M. Kayanan, and P. Wijekoon, “The modified logistic two-parameter estimators,” Statistics and Applications, 2025. http://drr.vau.ac.lk/handle/123456789/1569
  1. Kayathiri, M. Kayanan, and P. Wijekoon, “Stochastic restricted modified mixed logistic estimator,” Austrian Journal of Science, 2025. doi: 10.17713/ajs.v54i4.2043.

 

Publications in the International Conference

  1. Kayathiri and S.Arumairajan, “A new stochastic restricted two-parameter estimator in multiple linear regression model,” in Proceedings of the 5th International Research Conference, Uva Wellassa University, Badulla, 2021, p. 138.
  1. Kayathiri, M. Kayanan, and P. Wijekoon, “Enhancing predictive performance of the logistic two-parameter estimator under multicollinearity,” in Proceedings of the International Statistics Conference, the Institute of Applied Statistics, Sri Lanka, 2024, p. 53.
  1. Kayathiri, M. Kayanan, and P. Wijekoon, “On the development of the adjusted multinomial logistic Liu estimator,” in Proceedings of the 9th International Research Conference, Uva Wellassa University, Badulla, 2026.
  1. Kayathiri, M. Kayanan, and P. Wijekoon, “Inference-driven logistic regression approach for identifying risk factors of myopia,” in Proceedings of the International Conference on Statistical Innovation for Sustainable Development (ICSISD-26), Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women (Autonomous), India, 2026, p. 7.

 

Publications in Local Conference

  1. Kayathiri and A.Laheetharan, “Stability analysis of Sri Lankan tea export markets using Markov chain approach,” in Proceedings of the Postgraduate Institute of Science Research Congress, University of Peradeniya, Sri Lanka, 2019, p. 36.
  1. Kayathiri, M. Kayanan, and P. Wijekoon, “Comparison of the predictive performance of Liu-based estimators,” in Proceedings of the Postgraduate Institute of Science Research Congress, University of Peradeniya, Sri Lanka, 2023, p. 34.
  1. Kayathiri, M. Kayanan, and P. Wijekoon, “A generalized LARS framework for variable selection in high-dimensional binary classification,” in Proceedings of the Postgraduate Institute of Science Research Congress, University of Peradeniya, Sri Lanka, 2025, p. 71.
  1. Kayathiri, M. Kayanan, and P. Wijekoon, “A new shrinkage-based estimator for logistic regression under multicollinearity: The James-Stein Logistic Liu Estimator (JSLLE),” in the 7th Young Scientists’ Conference on Multidisciplinary Research (YSCMR), Young Scientists’ Association of the National Institute of Fundamental Studies (NIFS-YSA), 2025, p. 184.

 

Workshops attended

  • Participated in the 27th Scientific Writing Workshop, organized by PGIS, University of Peradeniya (2024).
Awards
  1. “Prof. P. Kanagasabapathy Memorial Prize in Statistics” for the best performance in the Honours Degree Examination in Statistics-2017, University of Jaffna.