Bayesian synthetic likelihood LF Price, CC Drovandi, A Lee, DJ Nott Journal of Computational and Graphical Statistics 21 (1), 1-11, 2018 | 235 | 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 | 98 | 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 | 41* | 2019 |
Regularized Zero-Variance Control Variates LF South, CJ Oates, A Mira, C Drovandi arXiv preprint arXiv:1811.05073, 2018 | 40* | 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 | 36 | 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 | 28 | 2019 |
Postprocessing of MCMC LF South, M Riabiz, O Teymur, C Oates Annual Review of Statistics and Its Application 9, 529-555, 2022 | 26 | 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 |
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 | 11 | 2022 |
Efficient and generalizable tuning strategies for stochastic gradient MCMC J Coullon, L South, C Nemeth Statistics and Computing 33 (3), 66, 2023 | 10 | 2023 |
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 |