Follow
Leah South
Title
Cited by
Cited by
Year
Bayesian synthetic likelihood
LF Price, CC Drovandi, A Lee, DJ Nott
Journal of Computational and Graphical Statistics 21 (1), 1-11, 2018
1982018
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
512022
Sequential Monte Carlo Samplers with Independent Markov Chain Monte Carlo Proposals
LF South, AN Pettitt, CC Drovandi
Bayesian Analysis 14 (3), 753-776, 2019
36*2019
Unbiased and consistent nested sampling via sequential Monte Carlo
R Salomone, LF South, CC Drovandi, DP Kroese
arXiv preprint arXiv:1805.03924, 2018
312018
Regularized zero-variance control variates
LF South, CJ Oates, A Mira, C Drovandi
Bayesian Analysis 18 (3), 865-888, 2023
29*2023
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
262019
Postprocessing of MCMC
LF South, M Riabiz, O Teymur, C Oates
Annual Review of Statistics and Its Application 9, 529-555, 2022
192022
Semi-exact control functionals from Sard’s method
LF South, T Karvonen, C Nemeth, M Girolami, CJ Oates
Biometrika 109 (2), 351-367, 2022
162022
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
92022
ZVCV: Zero-variance control variates
L South
Comprehensive R Archive Network, 2022
42022
RcppSMC: Rcpp Bindings for Sequential Monte Carlo
D Eddelbuettel, A Johansen, L South, I Zarubin
Comprehensive R Archive Network, 2023
32023
Efficient and generalizable tuning strategies for stochastic gradient MCMC
J Coullon, L South, C Nemeth
Statistics and Computing 33 (3), 66, 2023
22023
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
22019
Discussion of: A Bayesian information criterion for singular models
LF South, CC Drovandi, AN Pettitt
Journal of the Royal Statistical Society, Series B (Statistical Methodology), 2017
22017
Automatically adapting the number of state particles in SMC
I Botha, R Kohn, L South, C Drovandi
Statistics and Computing 33 (4), 82, 2023
12023
Author Correction: 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), 44, 2022
12022
Contributions to computational Bayesian statistics
L South
Queensland University of Technology, 2019
12019
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
12013
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
2023
Package ‘RcppSMC’
D Eddelbuettel, AM Johansen, LF South, I Zarubin, MD Eddelbuettel, ...
2023
The system can't perform the operation now. Try again later.
Articles 1–20