Bayesian synthetic likelihood LF Price, CC Drovandi, A Lee, DJ Nott
Journal of Computational and Graphical Statistics 21 (1), 1-11, 2018
242 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
111 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
42 * 2019 Regularized Zero-Variance Control Variates LF South, CJ Oates, A Mira, C Drovandi
arXiv preprint arXiv:1811.05073, 2018
42 * 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
31 2019 Postprocessing of MCMC LF South, M Riabiz, O Teymur, C Oates
Annual Review of Statistics and Its Application 9, 529-555, 2022
29 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
19 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 TechnologyCorreu electrònic verificat a qut.edu.au
