Select Publications

Book Chapters

Sisson S; Fan Y, 2018, 'ABC Samplers', in Sisson S; Fan Y; Beaumont M (ed.), Handbook of Approximate Bayesian Computation, Chapman & Hall, pp. 87 - 123, https://www.amazon.com/Handbook-Approximate-Computation-Handbooks-Statistical/dp/1439881502

Nott D; Ong V; Fan Y; Sisson S, 2018, 'High-dimensional approximate Bayesian computation', in Sisson S; Fan Y; Beaumont M (ed.), Handbook of Approximate Bayesian Computation, Chapman & Hall, pp. 211 - 242

Rodrigues G; Francis A; Sisson S; Tanaka M, 2018, 'Inferences on the acquisition of multidrug resistance in Mycobacterium tuberculosis using molecular epidemiological data', in Sisson S; Fan Y; Beaumont M (ed.), Approximate Bayesian Computation Likelihood-Free Methods for Complex Models, Chapman & Hall

Sisson S; Fan Y; Beaumont M, 2018, 'Overview of Approximate Bayesian Computation', in Sisson S; Fan Y; Beaumont M (ed.), Handbook of Approximate Bayesian Computation, Chapman & Hall, pp. 3 - 54, https://www.amazon.com/Handbook-Approximate-Computation-Handbooks-Statistical/dp/1439881502

Erhardt R; sisson SA, 2016, 'Modelling extremes using approximate Bayesian computation', in Dey D; Yan J (ed.), Extreme Value Modeling and Risk Analysis Methods and Applications, CRC Press, pp. 281 - 306

Sisson SA; Fan Y, 2011, 'Likelihood-free MCMC', in Brooks S; Gelman A; Jones GL; Meng X-L (ed.), Handbook of Markov Chain Monte Carlo, edn. Chapman & Hall-CRC Handbooks of Modern Statistical Methods, Taylor and Francis Group, USA, pp. 313 - 333, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000294600700013&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a

Fan Y; Sisson S, 2011, 'Reversible Jump MCMC', in Brooks S; Gelman A; Jones GL; Meng X-L (ed.), Handbook of Markov Chain Monte Carlo, edn. Chapman & Hall-CRC Handbooks of Modern Statistical Methods, Taylor and Francis Group, USA, pp. 67 - 87, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000294600700004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a

Edited Books

Sisson S; Fan Y; Beaumont M, (eds.), 2018, Handbook of Approximate Bayesian Computation, Chapman and Hall/CRC Press, https://www.crcpress.com/Handbook-of-Approximate-Bayesian-Computation/Sisson-Fan-Beaumont/p/book/9781439881507

Journal articles

Clark S; Sisson SA; Sharma A, 2020, 'Tools for enhancing the application of self-organizing maps in water resources research and engineering', Advances in Water Resources, vol. 143, http://dx.doi.org/10.1016/j.advwatres.2020.103676

Adams MP; Koh EJY; Vilas MP; Collier CJ; Lambert VM; Sisson SA; Quiroz M; McDonald-Madden E; McKenzie LJ; O'Brien KR, 2020, 'Predicting seagrass decline due to cumulative stressors', Environmental Modelling and Software, vol. 130, http://dx.doi.org/10.1016/j.envsoft.2020.104717

Rodrigues GS; Nott DJ; Sisson SA, 2020, 'Likelihood-free approximate Gibbs sampling', Statistics and Computing, vol. 30, pp. 1057 - 1073, http://dx.doi.org/10.1007/s11222-020-09933-x

Adams MP; Sisson SA; Helmstedt KJ; Baker CM; Holden MH; Plein M; Holloway J; Mengersen KL; McDonald-Madden E, 2020, 'Informing management decisions for ecological networks, using dynamic models calibrated to noisy time-series data', Ecology Letters, vol. 23, pp. 607 - 619, http://dx.doi.org/10.1111/ele.13465

Zhang X; Beranger B; Sisson SA, 2020, 'Constructing likelihood functions for interval-valued random variables', Scandinavian Journal of Statistics, vol. 47, pp. 1 - 35, http://dx.doi.org/10.1111/sjos.12395

Li C; Xie H-B; Mengersen K; Fan X; Da Xu RY; Sisson SA; Van Huffel S, 2020, 'Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures', IEEE TRANSACTIONS ON SIGNAL PROCESSING, vol. 68, pp. 3860 - 3870, http://dx.doi.org/10.1109/TSP.2020.3003120

Whitaker T; Beranger B; Sisson SA, 2020, 'Composite likelihood methods for histogram-valued random variables', Statistics and Computing, http://dx.doi.org/10.1007/s11222-020-09955-5

Chin V; Gunawan D; Fiebig DG; Kohn R; Sisson SA, 2020, 'Efficient data augmentation for multivariate probit models with panel data: an application to general practitioner decision making about contraceptives', Journal of the Royal Statistical Society. Series C: Applied Statistics, http://dx.doi.org/10.1111/rssc.12393

Shahriari S; Ghasri M; Sisson SA; Rashidi T, 2020, 'Ensemble of ARIMA: combining parametric and bootstrapping technique for traffic flow prediction', Transportmetrica A: Transport Science, vol. 16, pp. 1552 - 1573, http://dx.doi.org/10.1080/23249935.2020.1764662

Li C; Xie HB; Fan X; Xu RYD; Van Huffel S; Sisson SA; Mengersen K, 2019, 'Image denoising based on nonlocal Bayesian singular value thresholding and Stein's unbiased risk estimator', IEEE Transactions on Image Processing, vol. 28, pp. 4899 - 4911, http://dx.doi.org/10.1109/TIP.2019.2912292

Herger N; Abramowitz G; Sherwood S; Knutti R; Angélil O; Sisson SA, 2019, 'Ensemble optimisation, multiple constraints and overconfidence: a case study with future Australian precipitation change', Climate Dynamics, vol. 53, pp. 1581 - 1596, http://dx.doi.org/10.1007/s00382-019-04690-8

Bengtson SA; Meissner KJ; Menviel L; Sisson SA; Wilkin J, 2019, 'Evaluating the Extent of North Atlantic Deep Water and the Mean Atlantic δ13C From Statistical Reconstructions', Paleoceanography and Paleoclimatology, vol. 34, pp. 1022 - 1036, http://dx.doi.org/10.1029/2019PA003589

Beranger B; Padoan SA; Xu Y; Sisson SA, 2019, 'Extremal properties of the multivariate extended skew-normal distribution, Part B', Statistics and Probability Letters, vol. 147, pp. 105 - 114, http://dx.doi.org/10.1016/j.spl.2018.11.031

Beranger B; Padoan SA; Xu Y; Sisson SA, 2019, 'Extremal properties of the univariate extended skew-normal distribution, Part A', Statistics and Probability Letters, vol. 147, pp. 73 - 82, http://dx.doi.org/10.1016/j.spl.2018.09.018

Béranger B; Duong T; Perkins-Kirkpatrick SE; Sisson SA, 2019, 'Tail density estimation for exploratory data analysis using kernel methods', Journal of Nonparametric Statistics, vol. 31, pp. 144 - 174, http://dx.doi.org/10.1080/10485252.2018.1537442

Beranger B; Padoan SA; Sisson SA, 2019, 'Estimation and uncertainty quantification for extreme quantile regions', Extremes, http://dx.doi.org/10.1007/s10687-019-00364-0

Ong VMH; Nott DJ; Tran MN; Sisson SA; Drovandi CC, 2018, 'Likelihood-free inference in high dimensions with synthetic likelihood', Computational Statistics and Data Analysis, vol. 128, pp. 271 - 291, http://dx.doi.org/10.1016/j.csda.2018.07.008

Rodrigues GS; Prangle D; Sisson SA, 2018, 'Recalibration: A post-processing method for approximate Bayesian computation', Computational Statistics and Data Analysis, vol. 126, pp. 53 - 66, http://dx.doi.org/10.1016/j.csda.2018.04.004

Ong VMH; Nott DJ; Tran MN; Sisson SA; Drovandi CC, 2018, 'Variational Bayes with synthetic likelihood', Statistics and Computing, vol. 28, pp. 971 - 988, http://dx.doi.org/10.1007/s11222-017-9773-3

Clark S; Sharma A; Sisson SA, 2018, 'Patterns and comparisons of human-induced changes in river flood impacts in cities', Hydrology and Earth System Sciences, vol. 22, pp. 1793 - 1810, http://dx.doi.org/10.5194/hess-22-1793-2018

Gross MH; Donat MG; Alexander LV; Sisson SA, 2018, 'The sensitivity of daily temperature variability and extremes to dataset choice', Journal of Climate, vol. 31, pp. 1337 - 1359, http://dx.doi.org/10.1175/JCLI-D-17-0243.1

Beranger B; Padoan SA; Sisson SA, 2017, 'Models for Extremal Dependence Derived from Skew-symmetric Families', Scandinavian Journal of Statistics, vol. 44, pp. 21 - 45, http://dx.doi.org/10.1111/sjos.12240

Carvajal G; Roser DJ; Sisson SA; Keegan A; Khan SJ, 2017, 'Bayesian belief network modelling of chlorine disinfection for human pathogenic viruses in municipal wastewater', Water Research, vol. 109, pp. 144 - 154, http://dx.doi.org/10.1016/j.watres.2016.11.008

Li J; Nott DJ; Fan Y; Sisson SA, 2017, 'Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model', Computational Statistics and Data Analysis, vol. 106, pp. 77 - 89, http://dx.doi.org/10.1016/j.csda.2016.07.005

Clark S; Sisson SA; Sharma A, 2017, 'Nonlinear manifold representation in natural systems: The SOMersault', Environmental Modelling and Software, vol. 89, pp. 61 - 76, http://dx.doi.org/10.1016/j.envsoft.2016.11.028

Carvajal G; Branch A; Michel P; Sisson SA; Roser DJ; Drewes JE; Khan SJ, 2017, 'Robust evaluation of performance monitoring options for ozone disinfection in water recycling using Bayesian analysis', Water Research, vol. 124, pp. 605 - 617, http://dx.doi.org/10.1016/j.watres.2017.07.079

Carvajal G; Branch A; Sisson SA; Roser DJ; van den Akker B; Monis P; Reeve P; Keegan A; Regel R; Khan SJ, 2017, 'Virus removal by ultrafiltration: Understanding long-term performance change by application of Bayesian analysis', Water Research, vol. 122, pp. 269 - 279, http://dx.doi.org/10.1016/j.watres.2017.05.057

Rodrigues GS; Nott DJ; Sisson SA, 2016, 'Functional regression approximate Bayesian computation for Gaussian process density estimation', Computational Statistics and Data Analysis, vol. 103, pp. 229 - 241, http://dx.doi.org/10.1016/j.csda.2016.05.009

Garthwaite PH; Fan Y; Sisson SA, 2016, 'Adaptive optimal scaling of Metropolis–Hastings algorithms using the Robbins–Monro process', Communications in Statistics - Theory and Methods, vol. 45, pp. 5098 - 5111, http://dx.doi.org/10.1080/03610926.2014.936562

Clark S; Sisson SA; Sharma A, 2016, 'A dimension range representation (DRR) measure for self-organizing maps', Pattern Recognition, vol. 53, pp. 276 - 286, http://dx.doi.org/10.1016/j.patcog.2015.11.002

Lorenz R; Pitman AJ; Sisson SA, 2016, 'Does Amazonian deforestation cause global effects; Can we be sure?', Journal of Geophysical Research, vol. 121, pp. 5567 - 5584, http://dx.doi.org/10.1002/2015JD024357

Carvajal G; Roser DJ; Sisson SA; Keegan A; Khan SJ, 2015, 'Modelling pathogen log10 reduction values achieved by activated sludge treatment using naïve and semi naïve Bayes network models', Water Research, vol. 85, pp. 304 - 315, http://dx.doi.org/10.1016/j.watres.2015.08.035

Williams AN; Mooney SD; Sisson SA; Marlon J, 2015, 'Exploring the relationship between Aboriginal population indices and fire in Australia over the last 20,000years', Palaeogeography, Palaeoclimatology, Palaeoecology, vol. 432, pp. 49 - 57, http://dx.doi.org/10.1016/j.palaeo.2015.04.030

Clark S; Sarlin P; Sharma A; Sisson SA, 2015, 'Increasing dependence on foreign water resources? An assessment of trends in global virtual water flows using a self-organizing time map', Ecological Informatics, vol. 26, pp. 192 - 202, http://dx.doi.org/10.1016/j.ecoinf.2014.05.012

Lee J; Fan Y; Sisson SA, 2015, 'Bayesian threshold selection for extremal models using measures of surprise', Computational Statistics and Data Analysis, vol. 85, pp. 84 - 99, http://dx.doi.org/10.1016/j.csda.2014.12.004

Bino G; Sisson SA; Kingsford RT; Thomas RF; Bowen S, 2015, 'Developing state and transition models of floodplain vegetation dynamics as a tool for conservation decision-making: A case study of the Macquarie Marshes Ramsar wetland', Journal of Applied Ecology, vol. 52, pp. 654 - 664, http://dx.doi.org/10.1111/1365-2664.12410

Garthwaite PH; Fan Y; Sisson SA, 2015, 'Adaptive optimal scaling of Metropolis–Hastings algorithms using the Robbins–Monro process', Communications in Statistics: Theory and Methods, http://dx.doi.org/10.1080/03610926.2014.936562

Clark S; Sisson SA; Sharma A, 2014, 'A dimension range representation (DRR) measure for self-organizing maps', Pattern Recognition, http://dx.doi.org/10.1016/j.patcog.2015.11.002

Aandahl RZ; Stadler T; Sisson SA; Tanaka MM, 2014, 'Exact vs. approximate computation: Reconciling different estimates of Mycobacterium tuberculosis epidemiological parameters', GENETICS, vol. 196, pp. 1227 - 1230, http://dx.doi.org/10.1534/genetics.113.158808

Nott DJ; Fan Y; Marshall L; Sisson SA, 2014, 'Approximate Bayesian computation and Bayes' linear analysis: Toward high- dimensional ABC', Journal of Computational and Graphical Statistics, vol. 23, pp. 65 - 86, http://dx.doi.org/10.1080/10618600.2012.751874

Prangle D; Blum MGB; Popovic G; Sisson SA, 2014, 'Diagnostic tools for approximate Bayesian computation using the coverage property', Australian and New Zealand Journal of Statistics, vol. 56, pp. 309 - 329, http://dx.doi.org/10.1111/anzs.12087

Aandahl RZ; Stadler T; Sisson SA; Tanaka MM, 2014, 'Exact vs. approximate computation: Reconciling different estimates of Mycobacterium tuberculosis epidemiological parameters', Genetics, vol. 196, pp. 1227 - 1230, http://dx.doi.org/10.1534/genetics.113.158808


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