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CONTRIBUTIONS TO COMPUTATIONAL BAYESIAN STATISTICS

Published online by Cambridge University Press:  05 February 2020

LEAH SOUTH*
Affiliation:
School of Mathematical Sciences, Queensland University of Technology, 2 George Street, Brisbane City, Queensland4000, Australia email [email protected]
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Abstract

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Type
Abstracts of Australasian PhD Theses
Copyright
© 2020 Australian Mathematical Publishing Association Inc.

Footnotes

Thesis submitted to Queensland University of Technology in January 2019; degree approved on 28 August 2019; principal supervisor Christopher Drovandi, associate supervisor Anthony Pettit.

References

Price (née South), L. F., Drovandi, C. C., Lee, A. and Nott, D. J., ‘Bayesian synthetic likelihood’, J. Comput. Graph. Statist. 27(1) (2018), 11 pages.Google Scholar
Salomone, R., South, L. F., Drovandi, C. C. and Kroese, D. P., ‘Unbiased and consistent nested sampling via sequential Monte Carlo’, Preprint, 2018, arXiv:1805.03924.Google Scholar
South, L. F., Oates, C. J., Mira, A. and Drovandi, C. C., ‘Regularised zero-variance control variates for high-dimensional variance reduction’, Preprint, 2018, arXiv:1811.05073.Google Scholar
South, L. F., Pettitt, A. N. and Drovandi, C. C., ‘Sequential Monte Carlo samplers with independent MCMC proposals’, Bayesian Anal. 14(3) (2019), 753776.CrossRefGoogle Scholar