A Varghese, C Drovandi, K Mengersen and A Mira (2019) Estimating a novel stochastic model for within-field disease dynamics of banana bunchy top virus via approximate Bayesian computation. (pdf)
JW Priddle, SA Sisson and C Drovandi (2019) Efficient Bayesian synthetic likelihood with whitening transformations. (pdf)
I Botha, R Kohn and C Drovandi (2019) Particle Methods for Stochastic Differential Equation Mixed Effects Models. (pdf)
DJ Warne, SA Sisson and C Drovandi (2019) Acceleration of expensive computations in Bayesian statistics using vector operations. (pdf)
C Drovandi, RG Everitt, A Golightly and D Prangle (2019) Ensemble MCMC: Accelerating Pseudo-Marginal MCMC for State Space Models using the Ensemble Kalman Filter. (pdf)
D Li, A Clements and C Drovandi (2019) Efficient Bayesian estimation for GARCH-type models via Sequential Monte Carlo. (pdf)
DT Frazier and C Drovandi (2019) Robust Approximate Bayesian Inference with Synthetic Likelihood. (pdf)
DJ Nott, C Drovandi and R Kohn (2019) Bayesian inference using synthetic likelihood: asymptotics and adjustments. (pdf)
M Dehideniya, AM Overstall, C Drovandi and J McGree (2019) A synthetic likelihood-based Laplace approximation for efficient design of biological processes. (pdf)
Markus Hainy, David J. Price, Olivier Restif, C Drovandi (2018) Optimal Bayesian design for model discrimination via classification. (pdf)
R Salamone, LF South, CC Drovandi and DP Kroese (2018) Unbiased and Consistent Nested Sampling via
Sequential Monte Carlo. (pdf)
Sequential Monte Carlo. (pdf)
Drovandi, Christopher C., Nott, David J., & Pagendam, Daniel E. (2017) New insights into history matching via sequential Monte Carlo. (pdf)
