Leah South

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Christopher DrovandiProfessor of Statistics, Queensland University of TechnologyCorreu electrònic verificat a qut.edu.au
Chris. J. OatesNewcastle UniversityCorreu electrònic verificat a ncl.ac.uk
Christopher NemethProfessor in Probabilistic Machine Learning, Lancaster University, UKRI Turing AI FellowCorreu electrònic verificat a lancaster.ac.uk
Antonietta MiraProfessore di Statistica, Università della Svizzera italiana, LuganoCorreu electrònic verificat a usi.ch
Ziwen AnQueensland University of TechnologyCorreu electrònic verificat a hdr.qut.edu.au
Marina RiabizKing's College LondonCorreu electrònic verificat a kcl.ac.uk
Toni KarvonenAssociate Professor in Applied Mathematics, LUT UniversityCorreu electrònic verificat a lut.fi

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Leah South

Altres nomsLeah Price

Queensland University of Technology

Correu electrònic verificat a qut.edu.au - Pàgina d'inici

Bayesian inference computational statistics variance reduction sequential Monte Carlo approximate Bayesian computation


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Bayesian synthetic likelihood LF Price, CC Drovandi, A Lee, DJ Nott Journal of Computational and Graphical Statistics 21 (1), 1-11, 2018	259	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	144	2022
Regularized Zero-Variance Control Variates LF South, CJ Oates, A Mira, C Drovandi arXiv preprint arXiv:1811.05073, 2018	49*	2018
Sequential Monte Carlo Samplers with Independent Markov Chain Monte Carlo Proposals LF South, AN Pettitt, CC Drovandi Bayesian Analysis 14 (3), 753-776, 2019	48*	2019
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
Postprocessing of MCMC LF South, M Riabiz, O Teymur, C Oates Annual Review of Statistics and Its Application 9, 529-555, 2022	35	2022
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
Semi-exact control functionals from Sard’s method LF South, T Karvonen, C Nemeth, M Girolami, CJ Oates Biometrika 109 (2), 351-367, 2022	22	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	12	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 Australasian Conference on Information Security and Privacy, 388-402, 2013	1	2013

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