By Professor Scott Anthony Sisson

Journal articles

Lyu Z; Sisson S; Welsh AH, 2024, 'Increasing Dimension Asymptotics for Two-Way Crossed Mixed Effect Models', Annals of Statistics, https://arxiv.org/abs/2401.06446

Lopatnikova A; Tran MN; Sisson SA, 2024, 'AN INTRODUCTION TO QUANTUM COMPUTING FOR STATISTICIANS AND DATA SCIENTISTS', Foundations of Data Science, 6, pp. 278 - 307, http://dx.doi.org/10.3934/fods.2024013

Beranger B; Lin H; Sisson S, 2023, 'New models for symbolic data analysis', Advances in Data Analysis and Classification, 17, pp. 659 - 699, http://dx.doi.org/10.1007/s11634-022-00520-8

Fan X; Li Y; Chen L; Li B; Sisson SA, 2023, 'Hawkes Processes With Stochastic Exogenous Effects for Continuous-Time Interaction Modelling', IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, pp. 1848 - 1861, http://dx.doi.org/10.1109/TPAMI.2022.3161649

Chakraborty A; Nott DJ; Drovandi CC; Frazier DT; Sisson SA, 2023, 'Modularized Bayesian analyses and cutting feedback in likelihood-free inference', Statistics and Computing, 33, http://dx.doi.org/10.1007/s11222-023-10207-5

Shahriari S; Sisson SA; Rashidi T, 2023, 'Copula ARMA-GARCH modelling of spatially and temporally correlated time series data for transportation planning use', Transportation Research Part C: Emerging Technologies, 146, http://dx.doi.org/10.1016/j.trc.2022.103969

Lyu Z; Poynton S; Sisson S, 2023, 'The impact of changes to liquor licensing policy on violent crime in NSW, 2000-2019', Crime and Justice Bulletin, NO.263, https://www.bocsar.nsw.gov.au/Publications/CJB/CJB263-Report-Liquor-licensing-policy.pdf

Plein M; O'Brien KR; Holden MH; Adams MP; Baker CM; Bean NG; Sisson SA; Bode M; Mengersen KL; McDonald-Madden E, 2022, 'Modeling total predation to avoid perverse outcomes from cat control in a data-poor island ecosystem', Conservation Biology, 36, http://dx.doi.org/10.1111/cobi.13916

Man N; Sisson SA; McKetin R; Chrzanowska A; Bruno R; Dietze PM; Price O; Degenhardt L; Gibbs D; Salom C; Peacock A, 2022, 'Trends in methamphetamine use, markets and harms in Australia, 2003–2019', Drug and Alcohol Review, 41, pp. 1041 - 1052, http://dx.doi.org/10.1111/dar.13468

Warne DJ; Sisson SA; Drovandi C, 2022, 'Vector Operations for Accelerating Expensive Bayesian Computations – A Tutorial Guide', Bayesian Analysis, 17, pp. 593 - 622, http://dx.doi.org/10.1214/21-BA1265

Lin H; Caley MJ; Sisson SA, 2022, 'Estimating global species richness using symbolic data meta-analysis', Ecography, 2022, http://dx.doi.org/10.1111/ecog.05617

Chen WY; Peters GW; Gerlach RH; Sisson SA, 2022, 'Dynamic quantile function models', Quantitative Finance, 22, pp. 1665 - 1691, http://dx.doi.org/10.1080/14697688.2022.2053193

Priddle JW; Sisson SA; Frazier DT; Turner I; Drovandi C, 2022, 'Efficient Bayesian Synthetic Likelihood With Whitening Transformations', Journal of Computational and Graphical Statistics, 31, pp. 50 - 63, http://dx.doi.org/10.1080/10618600.2021.1979012

Rahman P; Beranger B; Sisson S; Roughan M, 2022, 'Likelihood-Based Inference for Modelling Packet Transit From Thinned Flow Summaries', IEEE Transactions on Signal and Information Processing over Networks, 8, pp. 571 - 583, http://dx.doi.org/10.1109/TSIPN.2022.3188457

Li Y; Fan X; Chen L; Li B; Sisson SA, 2022, 'Smoothing graphons for modelling exchangeable relational data', Machine Learning, 111, pp. 319 - 344, http://dx.doi.org/10.1007/s10994-021-06046-y

Beranger B; Stephenson AG; Sisson SA, 2021, 'High-dimensional inference using the extremal skew-t process', Extremes, 24, pp. 653 - 685, http://dx.doi.org/10.1007/s10687-020-00376-1

Man N; Chrzanowska A; Price O; Bruno R; Dietze PM; Sisson SA; Degenhardt L; Salom C; Morris L; Farrell M; Peacock A, 2021, 'Trends in cocaine use, markets and harms in Australia, 2003–2019', Drug and Alcohol Review, 40, pp. 946 - 956, http://dx.doi.org/10.1111/dar.13252

Beranger B; Padoan SA; Sisson SA, 2021, 'Correction to: Estimation and uncertainty quantification for extreme quantile regions (Extremes, (2021), 24, 2, (349-375), 10.1007/s10687-019-00364-0)', Extremes, 24, pp. 377 - 378, http://dx.doi.org/10.1007/s10687-021-00408-4

Beranger B; Padoan SA; Sisson SA, 2021, 'Estimation and uncertainty quantification for extreme quantile regions', Extremes, 24, pp. 349 - 375, http://dx.doi.org/10.1007/s10687-019-00364-0

Whitaker T; Beranger B; Sisson SA, 2021, 'Logistic Regression Models for Aggregated Data', Journal of Computational and Graphical Statistics, 30, pp. 1049 - 1067, http://dx.doi.org/10.1080/10618600.2021.1895816

Whitaker T; Beranger B; Sisson SA, 2020, 'Composite likelihood methods for histogram-valued random variables', Statistics and Computing, 30, pp. 1459 - 1477, http://dx.doi.org/10.1007/s11222-020-09955-5

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, 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, 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, 30, pp. 1057 - 1073, http://dx.doi.org/10.1007/s11222-020-09933-x

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, 69, pp. 277 - 300, http://dx.doi.org/10.1111/rssc.12393

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, 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, 47, pp. 1 - 35, http://dx.doi.org/10.1111/sjos.12395

Li C; Xie HB; 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, 68, pp. 3860 - 3870, http://dx.doi.org/10.1109/TSP.2020.3003120

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, 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, 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; Angelil O, 2019, 'Ensemble optimisation, multiple constraints and overconfidence: a case study with future Australian precipitation change', Climate Dynamics, 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, 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, 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, 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, 31, pp. 144 - 174, http://dx.doi.org/10.1080/10485252.2018.1537442

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, 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, 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, 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, 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, 31, pp. 1337 - 1359, http://dx.doi.org/10.1175/JCLI-D-17-0243.1

Clark S; Sharma A; Sisson SA, 2017, 'Patterns and comparisons of human-induced changes on river flood impacts in cities', , http://dx.doi.org/10.5194/hess-2017-162

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

Carvajal G; Roser DJ; Sisson SA; Keegan A; Khan SJ; Carvajal Ortega G, 2017, 'Bayesian belief network modelling of chlorine disinfection for human pathogenic viruses in municipal wastewater', Water Research, 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, 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, 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, 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; Carvajal Ortega G, 2017, 'Virus removal by ultrafiltration: Understanding long-term performance change by application of Bayesian analysis', Water Research, 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, 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, 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, 53, pp. 276 - 286, http://dx.doi.org/10.1016/j.patcog.2015.11.002

Back to profile page