| Bayesian synthetic likelihood LF Price, CC Drovandi, A Lee, DJ Nott Journal of Computational and Graphical Statistics 21 (1), 1-11, 2018 | 246 | 2018 |
| Nested sampling for physical scientists G Ashton, N Bernstein, J Buchner, X Chen, G Csányi, A Fowlie, F Feroz, ... Nature Reviews Methods Primers 2 (1), 39, 2022 | 117 | 2022 |
| Sequential Monte Carlo Samplers with Independent Markov Chain Monte Carlo Proposals LF South, AN Pettitt, CC Drovandi Bayesian Analysis 14 (3), 753-776, 2019 | 44* | 2019 |
| Regularized Zero-Variance Control Variates LF South, CJ Oates, A Mira, C Drovandi arXiv preprint arXiv:1811.05073, 2018 | 43* | 2018 |
| Unbiased and consistent nested sampling via sequential Monte Carlo R Salomone, LF South, AM Johansen, C Drovandi, DP Kroese arXiv preprint arXiv:1805.03924, 2018 | 37 | 2018 |
| Accelerating Bayesian synthetic likelihood with the graphical lasso Z An, LF South, DJ Nott, CC Drovandi Journal of Computational and Graphical Statistics 28 (2), 471-475, 2019 | 32 | 2019 |
| Postprocessing of MCMC LF South, M Riabiz, O Teymur, C Oates Annual Review of Statistics and Its Application 9, 529-555, 2022 | 28 | 2022 |
| Semi-exact control functionals from Sard’s method LF South, T Karvonen, C Nemeth, M Girolami, CJ Oates Biometrika 109 (2), 351-367, 2022 | 18 | 2022 |
| Efficient and generalizable tuning strategies for stochastic gradient MCMC J Coullon, L South, C Nemeth Statistics and Computing 33 (3), 66, 2023 | 13 | 2023 |
| BSL: An R package for efficient parameter estimation for simulation-based models via Bayesian synthetic likelihood Z An, LF South, C Drovandi Journal of Statistical Software 101 (11), 1-33, 2022 | 13 | 2022 |
| ZVCV: Zero-variance control variates L South Comprehensive R Archive Network, 2022 | 6 | 2022 |
| RcppSMC: Rcpp Bindings for Sequential Monte Carlo D Eddelbuettel, A Johansen, L South, I Zarubin Comprehensive R Archive Network, 2023 | 3 | 2023 |
| Author Correction: Nested sampling for physical scientists (Nature Reviews Methods Primers,(2022), 2, 1,(39), 10.1038/s43586-022-00121-x) G Ashton, N Bernstein, J Buchner, X Chen, G Csányi, A Fowlie, F Feroz, ... Nature Reviews Methods Primers 2 (1), 44, 2022 | 3 | 2022 |
| Automatically adapting the number of state particles in SMC I Botha, R Kohn, L South, C Drovandi Statistics and Computing 33 (4), 82, 2023 | 2 | 2023 |
| Discussion of" Unbiased Markov chain Monte Carlo with couplings" by Pierre E. Jacob, John O'Leary and Yves F. Atchad\'e LF South, C Nemeth, CJ Oates arXiv preprint arXiv:1912.10496, 2019 | 2 | 2019 |
| Discussion of: A Bayesian information criterion for singular models LF South, CC Drovandi, AN Pettitt The Journal of the Royal Statistical Society, Series B: Statistical …, 2017 | 2 | 2017 |
| Adaptively switching between a particle marginal Metropolis-Hastings and a particle Gibbs kernel in SMC I Botha, R Kohn, L South, C Drovandi arXiv preprint arXiv:2307.11553, 2023 | 1 | 2023 |
| BSL: Bayesian Synthetic Likelihood Z An, L South, C Drovandi Comprehensive R Archive Network, 2022 | 1 | 2022 |
| Contributions to computational Bayesian statistics L South Queensland University of Technology, 2019 | 1 | 2019 |
| Count-min sketches for estimating password frequency within hamming distance two L South, D Stebila Information Security and Privacy: 18th Australasian Conference, ACISP 2013 …, 2013 | 1 | 2013 |
Christopher DrovandiProfessor of Statistics, Queensland University of TechnologyVerified email at qut.edu.au
