Optimal Bayesian design for discriminating between models with intractable likelihoods in epidemiology MB Dehideniya, CC Drovandi, JM McGree Computational Statistics & Data Analysis 124, 277-297, 2018 | 24 | 2018 |
A synthetic likelihood-based Laplace approximation for efficient design of biological processes M Dehideniya, AM Overstall, CC Drovandi, JM McGree arXiv preprint arXiv:1903.04168, 2019 | 6 | 2019 |
Dynamic partitional clustering using multi-agent technology D Dehideniya, AS Karunananda 2013 International Conference on Advances in ICT for Emerging Regions (ICTer …, 2013 | 4 | 2013 |
Dual purpose Bayesian design for parameter estimation and model discrimination in epidemiology using a synthetic likelihood approach MB Dehideniya, CC Drovandi, JM McGree | 3 | 2018 |
Optimal Bayesian experimental designs for complex models MB Dehideniya Queensland University of Technology, 2019 | 1 | 2019 |
Effcient Bayesian design for discriminating between models with intractable likelihoods in epidemiology MB Dehideniya, CC Drovandi, JM McGree Technical Report, 2016 | 1 | 2016 |
Agent Based Dynamic Partitional Clustering D Dehideniya | | 2015 |