Select Publications

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

Zheng F; Westra S; Leonard M; Sisson SA, 2014, 'Modeling dependence between extreme rainfall and storm surge to estimate coastal flooding risk', Water Resources Research, vol. 50, pp. 2050 - 2071, http://dx.doi.org/10.1002/2013WR014616

Menéndez P; Fan Y; Garthwaite PH; Sisson SA, 2014, 'Simultaneous adjustment of bias and coverage probabilities for confidence intervals', Computational Statistics and Data Analysis, vol. 70, pp. 35 - 44, http://dx.doi.org/10.1016/j.csda.2013.08.016

Zheng F; Westra S; Sisson SA, 2013, 'Quantifying the dependence between extreme rainfall and storm surge in the coastal zone', Journal of Hydrology, vol. 505, pp. 172 - 187, http://dx.doi.org/10.1016/j.jhydrol.2013.09.054

Lindström T; Brown GP; Sisson SA; Phillips BL; Shine R, 2013, 'Rapid shifts in dispersal behavior on an expanding range edge Tom', Proceedings of the National Academy of Sciences of the United States of America, vol. 110, pp. 13452 - 13456, http://dx.doi.org/10.1073/pnas.1303157110

Jeremiah E; Marshall L; Sisson SA; Sharma A, 2013, 'Specifying a hierarchical mixture of experts for hydrologic modeling: Gating function variable selection', Water Resources Research, vol. 49, pp. 2926 - 2939, http://dx.doi.org/10.1002/wrcr.20150

Blum MGB; Nunes MA; Prangle D; Sisson SA, 2013, 'A comparative review of dimension reduction methods in approximate bayesian computation', Statistical Science, vol. 28, pp. 189 - 208, http://dx.doi.org/10.1214/12-STS406

Fan Y; Nott DJ; Sisson SA, 2013, 'Approximate Bayesian computation via regression density estimation', Stat, vol. 2, pp. 34 - 48, http://dx.doi.org/10.1002/sta4.15

Perkins SE; Pitman AJ; Sisson SA, 2013, 'Systematic differences in future 20-year temperature extremes in AR4 model projections over Australia as a function of model skill', International Journal of Climatology, vol. 33, pp. 1153 - 1167, http://dx.doi.org/10.1002/joc.3500


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