Passionate about statistical analysis and recently completed her PhD at Monash University, Sustainable and Effective Public Transport – Graduate Research Interdisciplinary Program (SEPT-GRIP).
Research Interests:
Applied statistics
Qualifications:
Bachelor of Science (Honors), University of Colombo Sri Lanka 2013
A fundamental challenge in constructing Big Models is the question of calibration. Big Models typically have a large number of parameters, which need to be inferred from data in a robust and theoretically justifiable way. Approximate Bayesian Computation is one promising approach to tackle this calibration problem for large complex models.
Publications
Invited talks, refereed proceedings and other conference outputs
Rajapaksha, S., Garoni T. M., & Zhang D.. Joyce
(2019). Approximating Link Travel Time Distributions. 63rd Annual Meeting of the Australian Mathematical Society.
