Passionate about statistical analysis and currently undertaking 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
