DT Frazier and C Drovandi (2019) Robust Approximate Bayesian Inference with Synthetic Likelihood. (pdf)

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DJ Nott, C Drovandi and R Kohn (2019) Bayesian inference using synthetic likelihood: asymptotics and adjustments. (pdf)

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Markus Hainy, David J. Price, Olivier Restif, C Drovandi (2018) Optimal Bayesian design for model discrimination via classification. (pdf)

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LF South, C Oates, A Mira, C Drovandi (2018) Regularised Zero-Variance Control Variates. (pdf)

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Z An, DJ Nott and C Drovandi (2018) Robust Bayesian Synthetic Likelihood via a Semi-Parametric Approach. (pdf)

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R Salamone, LF South, CC Drovandi and DP Kroese (2018)  Unbiased and Consistent Nested Sampling via
Sequential Monte Carlo. (pdf)

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Drovandi, Christopher C., Nott, David J., & Pagendam, Daniel E. (2017) New insights into history matching via sequential Monte Carlo. (pdf)​

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