Professor Scott Sisson

Director of the �ʹڲ�Ʊ Data Science Hub (uDASH)
Deputy Director, Data Science, of the �ʹڲ�Ʊ AI Institute (�ʹڲ�Ʊ.ai)
Professor of Statistics and Data Science

My research is in computational statistics. In particular, I enjoy working to try and solve "intractable" (computationally or analytically) statistical problems. This covers many areas, some of which are Bayesian statistics, big data, computational techniques and simulation-based algorithms, machine learning, statistical extreme value theory and I cover a diverse range of scientific applications. I regularly engage with government and industry to address their pressing problems.

Education

PhD in Statistics (Bristol University, UK, 2002)
MSc in Environmental Statistics and Systems (Lancaster University, UK, 1997)
BSc in Mathematics and Statistics (Lancaster University, UK, 1996)

Phone

+61-2-9385 7035

E-mail

scott.sisson@unsw.edu.au

Location

School of Mathematics and Statistics University of New South Wales Sydney NSW 2052 The Red Centre Room 1034

Book Chapters | 2021

Li Y; Fan X; Chen L; Li B; Sisson SA, 2021, 'Decoupling Sparsity and Smoothness in Dirichlet Belief Networks', in Machine Learning and Knowledge Discovery in Databases. Research Track, pp. 148 - 163,

Book Chapters | 2018

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

Book Chapters | 2018

Nott DJ; Ong VM-H; Fan Y; Sisson SA, 2018, 'High-Dimensional ABC', in Handbook of Approximate Bayesian Computation, Chapman and Hall/CRC, pp. 211 - 241,

Book Chapters | 2018

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

Book Chapters | 2018

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,

Book Chapters | 2018

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,

Book Chapters | 2018

Sisson SA; Fan Y; Beaumont MA, 2018, 'Overview of ABC', in Handbook of Approximate Bayesian Computation, Chapman and Hall/CRC, pp. 3 - 54,

Book Chapters | 2016

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

Book Chapters | 2011

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, Taylor and Francis Group, USA, pp. 67 - 87

Book Chapters | 2011

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, Taylor and Francis Group, USA, pp. 313 - 333
Edited Books | 2018

Sisson S; Fan Y; Beaumont M, (eds.), 2018, Handbook of Approximate Bayesian Computation, Chapman and Hall/CRC Press,
Journal articles | 2025

Ge W; De Silva R; Fan Y; Sisson SA; Stenzel MH, 2025, 'Machine Learning in Polymer Research', Advanced Materials, 37,

Journal articles | 2025

Ge W; De Silva R; Fan Y; Sisson SA; Stenzel MH, 2025, 'Predictive Modelling of Solvent Effects on Drug Incorporation into Polymeric Nanocarriers: A Machine Learning Approach', Macromolecular Rapid Communications,

Journal articles | 2025

Ramirez-Torres EE; Castañeda ARS; Rández L; Sisson SA; Cabrales LEB; Montijano JI, 2025, 'Proper likelihood functions for parameter estimation in S-shaped models of unperturbed tumor growth', Scientific Reports, 15,

Journal articles | 2025

Shahriari S; Sisson SA; Rashidi T, 2025, 'Modelling time series with temporal and spatial correlations in transport planning using hierarchical ARIMA-copula Model: A Bayesian approach', Expert Systems with Applications, 274,

Journal articles | 2024

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,

Journal articles | 2024

Lyu Z; Sisson S; Welsh AH, 2024, 'Increasing Dimension Asymptotics for Two-Way Crossed Mixed Effect Models', Annals of Statistics, 52, pp. 2956 - 2978,

Journal articles | 2023

Beranger B; Lin H; Sisson S, 2023, 'New models for symbolic data analysis', Advances in Data Analysis and Classification, 17, pp. 659 - 699,

Journal articles | 2023

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,

Journal articles | 2023

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,

Journal articles | 2023

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,

Journal articles | 2023

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,

Journal articles | 2022

Chen WY; Peters GW; Gerlach RH; Sisson SA, 2022, 'Dynamic quantile function models', Quantitative Finance, 22, pp. 1665 - 1691,

Journal articles | 2022

Li Y; Fan X; Chen L; Li B; Sisson SA, 2022, 'Smoothing graphons for modelling exchangeable relational data', Machine Learning, 111, pp. 319 - 344,

Journal articles | 2022

Lin H; Caley MJ; Sisson SA, 2022, 'Estimating global species richness using symbolic data meta-analysis', Ecography, 2022,

Journal articles | 2022

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,

Journal articles | 2022

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,

Journal articles | 2022

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,

Journal articles | 2022

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,

Journal articles | 2022

Warne DJ; Sisson SA; Drovandi C, 2022, 'Vector Operations for Accelerating Expensive Bayesian Computations – A Tutorial Guide', Bayesian Analysis, 17, pp. 593 - 622,

Journal articles | 2021

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,

Journal articles | 2021

Beranger B; Padoan SA; Sisson SA, 2021, 'Estimation and uncertainty quantification for extreme quantile regions', Extremes, 24, pp. 349 - 375,

Journal articles | 2021

Beranger B; Stephenson AG; Sisson SA, 2021, 'High-dimensional inference using the extremal skew-t process', Extremes, 24, pp. 653 - 685,

Journal articles | 2021

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,

Journal articles | 2021

Whitaker T; Beranger B; Sisson SA, 2021, 'Logistic Regression Models for Aggregated Data', Journal of Computational and Graphical Statistics, 30, pp. 1049 - 1067,

Journal articles | 2020

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,

Journal articles | 2020

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,

Journal articles | 2020

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,

Journal articles | 2020

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,

Journal articles | 2020

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,

Journal articles | 2020

Rodrigues GS; Nott DJ; Sisson SA, 2020, 'Likelihood-free approximate Gibbs sampling', Statistics and Computing, 30, pp. 1057 - 1073,

Journal articles | 2020

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,

Journal articles | 2020

Whitaker T; Beranger B; Sisson SA, 2020, 'Composite likelihood methods for histogram-valued random variables', Statistics and Computing, 30, pp. 1459 - 1477,

Journal articles | 2020

Zhang X; Beranger B; Sisson SA, 2020, 'Constructing likelihood functions for interval-valued random variables', Scandinavian Journal of Statistics, 47, pp. 1 - 35,

Journal articles | 2019

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,

Journal articles | 2019

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,

Journal articles | 2019

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,

Journal articles | 2019

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,

Journal articles | 2019

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,

Journal articles | 2019

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,

Journal articles | 2018

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,

Journal articles | 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,

Journal articles | 2018

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,

Journal articles | 2018

Ong VMH; Nott DJ; Tran MN; Sisson SA; Drovandi CC, 2018, 'Variational Bayes with synthetic likelihood', Statistics and Computing, 28, pp. 971 - 988,

Journal articles | 2018

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,

Journal articles | 2017

Beranger B; Padoan SA; Sisson SA, 2017, 'Models for Extremal Dependence Derived from Skew-symmetric Families', Scandinavian Journal of Statistics, 44, pp. 21 - 45,

Journal articles | 2017

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,

Journal articles | 2017

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,

Journal articles | 2017

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,

Journal articles | 2017

Clark S; Sharma A; Sisson SA, 2017, 'Patterns and comparisons of human-induced changes on river flood impacts in cities', ,

Journal articles | 2017

Clark S; Sisson SA; Sharma A, 2017, 'Nonlinear manifold representation in natural systems: The SOMersault', Environmental Modelling and Software, 89, pp. 61 - 76,

Journal articles | 2017

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,

Journal articles | 2016

Clark S; Sisson SA; Sharma A, 2016, 'A dimension range representation (DRR) measure for self-organizing maps', Pattern Recognition, 53, pp. 276 - 286,

Journal articles | 2016

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,

Journal articles | 2016

Lorenz R; Pitman AJ; Sisson SA, 2016, 'Does Amazonian deforestation cause global effects; Can we be sure?', Journal of Geophysical Research, 121, pp. 5567 - 5584,

Journal articles | 2016

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,

Journal articles | 2015

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, 52, pp. 654 - 664,

Journal articles | 2015

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, 85, pp. 304 - 315,

Journal articles | 2015

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, 26, pp. 192 - 202,

Journal articles | 2015

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,

Journal articles | 2015

Lee J; Fan Y; Sisson SA, 2015, 'Bayesian threshold selection for extremal models using measures of surprise', Computational Statistics and Data Analysis, 85, pp. 84 - 99,

Journal articles | 2015

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, 432, pp. 49 - 57,

Journal articles | 2014

Aandahl RZ; Stadler T; Sisson SA; Tanaka MM, 2014, 'Exact vs. approximate computation: Reconciling different estimates of Mycobacterium tuberculosis epidemiological parameters', GENETICS, 196, pp. 1227 - 1230,

Journal articles | 2014

Aandahl RZ; Stadler T; Sisson SA; Tanaka MM, 2014, 'Exact vs. approximate computation: Reconciling different estimates of Mycobacterium tuberculosis epidemiological parameters', Genetics, 196, pp. 1227 - 1230,

Journal articles | 2014

Clark S; Sisson SA; Sharma A, 2014, 'A dimension range representation (DRR) measure for self-organizing maps', Pattern Recognition,

Journal articles | 2014

Menéndez P; Fan Y; Garthwaite PH; Sisson SA, 2014, 'Simultaneous adjustment of bias and coverage probabilities for confidence intervals', Computational Statistics and Data Analysis, 70, pp. 35 - 44,

Journal articles | 2014

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, 23, pp. 65 - 86,

Journal articles | 2014

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, 56, pp. 309 - 329,

Journal articles | 2014

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, 50, pp. 2050 - 2071,

Journal articles | 2013

Blum MGB; Nunes MA; Prangle D; Sisson SA, 2013, 'A comparative review of dimension reduction methods in approximate bayesian computation', Statistical Science, 28, pp. 189 - 208,

Journal articles | 2013

Fan Y; Nott DJ; Sisson SA, 2013, 'Approximate Bayesian computation via regression density estimation', Stat, 2, pp. 34 - 48,

Journal articles | 2013

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, 49, pp. 2926 - 2939,

Journal articles | 2013

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, 110, pp. 13452 - 13456,

Journal articles | 2013

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, 33, pp. 1153 - 1167,

Journal articles | 2013

Zheng F; Westra S; Sisson SA, 2013, 'Quantifying the dependence between extreme rainfall and storm surge in the coastal zone', Journal of Hydrology, 505, pp. 172 - 187,

Journal articles | 2012

Aandahl R; Reyes JF; Sisson SA; Tanaka M, 2012, 'A model-based Bayesian estimation of the rate of evolution of VNTR loci in Mycobacterium tuberculosis', PLoS Computational Biology, 8, pp. e1002573,

Journal articles | 2012

Burgman MA; Franklin JW; Hayes KR; Peters GW; Sisson SA, 2012, 'Modeling extreme risks in ecology', Risk Analysis, 32, pp. 1956 - 1966

Journal articles | 2012

Jeremiah E; Sisson SA; Sharma A; Marshall LA, 2012, 'Efficient hydrological model parameter optimization with Sequential Monte Carlo sampling', Environmental Modelling and Software, 38, pp. 283 - 295,

Journal articles | 2012

Lindstrom T; Sisson SA; Hakansson N; Bergman KO; Wennergren U, 2012, 'A spectral and Bayesian approach for analysis of fluctuations and synchrony in ecological datasets', Methods in Ecology and Evolution, 3, pp. 1019 - 1027,

Journal articles | 2012

Nott DJ; Fan Y; Sisson SA, 2012, 'Discussion on the paper of Fearnhead and Prangle "Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation"', Journal of the Royal Statistical Society Series B - Statistical Methodology, 74, pp. 466 - 468

Journal articles | 2012

Peters GW; Fan Y; Sisson SA, 2012, 'On sequential Monte Carlo, partial rejection control and approximate Bayesian computation', Statistics and Computing, 22, pp. 1209 - 1222,

Journal articles | 2012

Peters GW; Sisson SA; Fan Y, 2012, 'Likelihood-free Bayesian inference for alpha-stable models', Computational Statistics and Data Analysis, 56, pp. 3743 - 3756,

Journal articles | 2011

Jeremiah E; Sisson S; Marshall L; Mehrotra R; Sharma A, 2011, 'Bayesian calibration and uncertainty analysis of hydrological models: A comparison of adaptive Metropolis and sequential Monte Carlo samplers', Water Resources Research, 47, pp. W07547 (13pp),

Journal articles | 2011

Lindstrom T; Sisson SA; Lewerin SS; Wennergren U, 2011, 'Bayesian analysis of animal movements related to factors at herd and between herd levels: Implications for disease spread modeling', Preventive Veterinary Medicine, 98, pp. 230 - 242,

Journal articles | 2011

Sisson SA, 2011, 'Handbook of Spatial Statistics by A.E. Gelfand, P. Diggle, P. Guttorp and M. Fuentes', Australian & New Zealand Journal of Statistics, 53, pp. 489 - 491,

Journal articles | 2011

Westra SP; Sisson SA, 2011, 'Detection of non-stationarity in precipitation extremes using a max-stable process model', Journal of Hydrology, 406, pp. 119 - 128,

Journal articles | 2010

Beaumont MA; Nielsen R; Robert C; Hey J; Gaggiott O; Knowles L; Estoup A; Panchal M; Corander J; Hickerson M; Sisson SA; Fagundes N; Chikhi L; Beerli P; Vitalis R; Cornuet J; Huelsenbeck J; Foll M; Yang Z; Rousset F; Balding D; Excoffier L, 2010, 'In defence of model-based inference in phylogeography', Molecular Ecology, 19, pp. 436 - 446

Journal articles | 2010

Fan Y; Dortet-Bernadet J; Sisson SA, 2010, 'On Bayesian curve fitting via auxiliary variables', Journal of Computational and Graphical Statistics, 19, pp. 626 - 644,

Journal articles | 2010

Lindstrom T; Sisson SA; Lewerin SS; Wennergren U, 2010, 'Estimating animal movement contacts between holdings of different production types', Preventive Veterinary Medicine, 95, pp. 23 - 31,

Journal articles | 2010

Padoan SA; Ribatet M; Sisson SA, 2010, 'Likelihood-based inference for max-stable processes', Journal of the American Statistical Association, 105, pp. 263 - 277,

Journal articles | 2009

Fan Y; Peters GW; Sisson SA, 2009, 'Automating and evaluating reversible jump MCMC proposal distributions', Statistics and Computing, 19, pp. 409 - 421,

Journal articles | 2009

Lindstrom T; Sisson SA; Noremark M; Jonsson A; Wennergren U, 2009, 'Estimation of distance related probability of animal movements between holdings and implications for disease spread modeling', Preventive Veterinary Medicine, 91, pp. 85 - 94

Journal articles | 2009

Luciani F; Sisson SA; Jiang H; Francis AR; Tanaka M, 2009, 'The epidemiological fitness cost of drug resistance in Mycobacterium tuberculosis', Proceedings of the National Academy of Sciences of the United States of America, 106, pp. 14711 - 14715,

Journal articles | 2009

Perkins SE; Pitman AJ; Sisson SA, 2009, 'Smaller projected increases in 20-year temperature returns over Australia in skill-selected climate models', Geophysical Research Letters, 36, pp. L06710,

Journal articles | 2009

Sisson SA; Fan Y; Tanaka MM, 2009, 'Sequential Monte Carlo without likelihoods (Proceedings of the National Academy of Sciences of the United States of America (2007) 104, 6, (1760-1765) DOI:10.1073/pnas.0607208104)', Proceedings of the National Academy of Sciences of the United States of America, 106, pp. 16889,

Journal articles | 2009

Sisson SA; Fan Y, 2009, 'Towards automating model selection for a mark-recapture-recovery analysis', Journal of the Royal Statistical Society Series C - Applied Statistics, 58, pp. 247 - 266

Journal articles | 2009

Tanaka M; Sisson SA; King GC, 2009, 'High affinity extremes in combinatorial libraries and repertoires', Journal of Theoretical Biology, 261, pp. 260 - 265

Journal articles | 2008

Franklin JW; Sisson SA; Burgman MA; Martin JK, 2008, 'Evaluating extreme risks in invasion ecology: learning from banking compliance', Diversity and Distributions, 14, pp. 581 - 591

Journal articles | 2007

Bortot P; Coles S; Sisson SA, 2007, 'Inference for stereological extremes', Journal of the American Statistical Association, 102, pp. 84 - 92

Journal articles | 2007

Sisson SA; Fan Y; Tanaka M, 2007, 'Sequential Monte Carlo without likelihoods', Proceedings of the National Academy of Sciences of the United States of America, 104, pp. 1760 - 1765

Journal articles | 2007

Sisson SA; Fan Y, 2007, 'A distance-based diagnostic for trans-dimensional Markov chains', Statistics and Computing, 17, pp. 357 - 367

Journal articles | 2007

Sisson SA, 2007, 'Genetics and stochastic simulation do mix!', American Statistician, 61, pp. 112 - 119

Journal articles | 2006

Peters GW; Sisson SA, 2006, 'Bayesian inference, Monte Carlo sampling and operational risk', The Journal of Operational Risk, 1, pp. 27 - 50

Journal articles | 2006

Sisson S, 2006, 'Book Reviews', Journal of the Royal Statistical Society Series A: Statistics in Society, 169, pp. 168 - 169,

Journal articles | 2006

Sisson SA; Chan YK, 2006, 'A note on bayesian analyses of capture-recapture data with perfect recaptures', Communications in Statistics - Theory and Methods, 35, pp. 53 - 62,

Journal articles | 2006

Sisson SA; Pericchi L; Coles S, 2006, 'A case for a reassessment of the risks of extreme hydrological hazards in the Caribbean', Stochastic Environmental Research and Risk Assessment, 20, pp. 296 - 306

Journal articles | 2006

Sisson SA, 2006, 'Statistics of extremes: Theory and applications', Journal of the Royal Statistical Society Series A - Statistics in Society, 169, pp. 168 - 169

Journal articles | 2006

Tanaka M; Francis AR; Luciani F; Sisson SA, 2006, 'Using approximate Bayesian computation to estimate tuberculosis transmission parameters from genotype data', Genetics, 173, pp. 1511 - 1520,

Journal articles | 2005

Sisson SA; Coles S, 2005, 'Modelling Dependence Uncertainty in the Extremes of Markov Chains', Extremes, 6, pp. 283 - 300

Journal articles | 2005

Sisson SA, 2005, 'Statistical inference and simulation for spatial point processes', Journal of the Royal Statistical Society Series A - Statistics in Society, 168, pp. 258 - 259

Journal articles | 2005

Sisson SA, 2005, 'Trans-dimensional Markov chains: A decade of progress and future perspectives', Journal of the American Statistical Association, 100, pp. 1077 - 1089

Journal articles | 2004

Sisson S, 2004, 'Book Reviews', Journal of the Royal Statistical Society Series A: Statistics in Society, 167, pp. 566 - 567,

Journal articles | 2004

Sisson S, 2004, 'Hidden Markov Models for Bioinformatics', Journal of the Royal Statistical Society Series A: Statistics in Society, 167, pp. 194 - 195,

Journal articles | 2004

Sisson SA; Hurn M, 2004, 'Bayesian point estimation of quantitative trait loci', Biometrics, 60, pp. 60 - 68

Journal articles | 2004

Sisson SA, 2004, 'Bayesian statistics 7', Journal of the Royal Statistical Society Series A - Statistics in Society, 167, pp. 566 - 567

Journal articles | 2003

Coles S; Pericchi LR; Sisson S, 2003, 'A fully probabilistic approach to extreme rainfall modeling', Journal of Hydrology, 273, pp. 35 - 50,

Journal articles | 2003

Sisson S, 2003, 'Book Review: Handbook of statistical genetics', Statistical Methods in Medical Research, 12, pp. 86 - 87,

Journal articles | 2003

Sisson S, 2003, 'Principles of Data Mining', Information Retrieval, 6, pp. 275 - 277,

Journal articles | 2003

Sisson S, 2003, 'The Basics of S-PLUS', Journal of the Royal Statistical Society: Series D (The Statistician), 52, pp. 413 - 414,

Journal articles | 2002

Balding DJ; Carothers AD; Marchini JL; Cardon LR; Vetta A; Griffiths B; Weir BS; Hill WG; Goldstein D; Strimmer K; Myers S; Beaumont MA; Glasbey CA; Mayer CD; Richardson S; Marshall C; Durrett R; Nielsen R; Visscher PM; Knott SA; Haley CS; Ball RD; Hackett CA; Holmes S; Husmeier D; Jansen RC; Ter Braak CJF; Maliepaard CA; Boer MP; Joyce P; Li N; Stephens M; Marcoulides GA; Drezner Z; Mardia K; McVean G; Meng XL; Ochs MF; Pagel M; Sha N; Vannucci M; Sillanpää MJ; Sisson S; Yandell BS; Jin C; Satagopan JM; Gaffney PJ; Zeng ZB; Broman KW; Speed TP; Fearnhead P; Donnelly P; Larget B; Simon DL; Kadane JB; Nicholson G; Smith AV; Jónsson F; Gústafsson O; Stefánsson K; Parmigiani G; Garrett ES; Anbazhagan R; Gabrielson E, 2002, 'Discussion on the meeting on 'statistical modelling and analysis of genetic data'', Journal of the Royal Statistical Society Series B Statistical Methodology, 64, pp. 737 - 775,
Preprints | 2024

Kock L; Rodrigues GS; Sisson SA; Klein N; Nott DJ, 2024, Calibrated Multivariate Regression with Localized PIT Mappings,

Preprints | 2024

Lyu Z; Sisson SA; Welsh AH, 2024, Increasing dimension asymptotics for two-way crossed mixed effect models,

Preprints | 2024

Ramírez-Torres EE; Castañeda ARS; Rández L; Sisson SA; Cabrales LEB; Montijano JI, 2024, Parameter estimation of Gompertz model for tumorgrowth: which likelihood to choose?,

Preprints | 2024

Torres R; Nott DJ; Sisson SA; Rodrigues T; Reis JG; Rodrigues GS, 2024, Model-Free Local Recalibration of Neural Networks,

Preprints | 2024

Yang Y; Quiroz M; Beranger B; Kohn R; Sisson SA, 2024, Analysing symbolic data by pseudo-marginal methods,

Preprints | 2024

Zhong P; Sisson SA; Beranger B, 2024, Fast and flexible inference for spatial extremes,

Preprints | 2024

de Amorim WER; Sisson SA; Rodrigues T; Nott DJ; Rodrigues GS, 2024, Positional Encoder Graph Quantile Neural Networks for Geographic Data,

Conference Papers | 2023

Fan X; Bonilla EV; O'Kane TJ; Sisson SA, 2023, 'Free-Form Variational Inference for Gaussian Process State-Space Models', in Proceedings of the 40th International Conference on Machine Learning, Proceedings of Machine Learning Research, Honolulu, HI, United States, pp. 9603 - 9622, presented at 40th International Conference on Machine Learning (ICML 2023), Honolulu, HI, United States, 23 July 2023,

Preprints | 2022

Chakraborty A; Nott DJ; Drovandi C; Frazier DT; Sisson SA, 2022, Modularized Bayesian analyses and cutting feedback in likelihood-free inference, ,

Reports | 2022

Man N; Sisson S; McKetin R; Chrzanowska A; Bruno R; Dietze P; Price O; Degenhardt L; Gibbs D; Salom C; Peacock A, 2022, Trends in methamphetamine use, markets and harms in Australia, 2003-2019, NDARC, Sydney,

Preprints | 2022

Yang Y; Quiroz M; Kohn R; Sisson SA, 2022, A correlated pseudo-marginal approach to doubly intractable problems,

Reports | 2021

Bennett Moses L; Land L; Zalnieriute M; Zhao S; Nicholson K; Sisson S; Tani Bertuol M; Zlatanova S; Brown G; Krebbs S, 2021, Submission: Australian Data Strategy Discussion Paper, ,

Preprints | 2021

Chin V; Beavan A; Fransen J; Mayer J; Kohn R; Ryan LM; Sisson SA, 2021, Modelling age-related changes in executive functions of soccer players,

Conference Papers | 2021

Fan X; Li B; Li Y; Sisson SA, 2021, 'Poisson-Randomised DirBN: Large mutation is needed in Dirichlet belief networks', in Proceedings of Machine Learning Research, pp. 3068 - 3077

Conference Papers | 2021

Fan X; Li B; Luo L; Sisson SA, 2021, 'Bayesian Nonparametric Space Partitions: A Survey', in Ijcai International Joint Conference on Artificial Intelligence, pp. 4408 - 4415,

Conference Papers | 2021

Fan X; Li B; Zhou F; Sisson SA, 2021, 'Continuous-time edge modelling using non-parametric point processes', in Advances in Neural Information Processing Systems, pp. 2319 - 2330

Preprints | 2021

Lopatnikova A; Tran M-N; Sisson SA, 2021, An Introduction to Quantum Computing for Statisticians and Data Scientists,

Preprints | 2021

Ramirez-Torres EE; Selva Castañeda AR; Randez L; Valdés García LE; Cabrales LEB; Sisson SA; Montijano JI, 2021, A new model of unreported COVID-19 cases outperforms three known epidemic-growth models in describing data from Cuba and Spain,

Preprints | 2020

Balnozan I; Fiebig DG; Asher A; Kohn R; Sisson SA, 2020, Hidden Group Time Profiles: Heterogeneous Drawdown Behaviours in Retirement,

Conference Papers | 2020

Fan X; Li B; Sisson SA, 2020, 'Online Binary Space Partitioning Forests', in Chiappa S; Calandra R (ed.), INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 108, ADDISON-WESLEY PUBL CO, ELECTR NETWORK, pp. 527 - 536, presented at 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), ELECTR NETWORK, 26 August 2020 - 28 August 2020,

Conference Papers | 2020

Li Y; Fan X; Chen L; Li B; Yu Z; Sisson SA, 2020, 'Recurrent dirichlet belief networks for interpretable dynamic relational data modelling', in Ijcai International Joint Conference on Artificial Intelligence, pp. 2470 - 2476

Conference Posters | 2020

Man N; Chrzanowska A; McKetin R; Price O; Gibbs D; Bruno R; Sisson S; Dietze P; Salom C; Degenhardt L; Peacock A, 2020, 'Trends in methamphetamine availability, use, and harms in Australia', presented at The 2020 NDARC Annual Research Symposium, 05 November 2020 - 26 November 2020,

Preprints | 2020

Plein M; Brien KO; Holden M; Adams M; Baker C; Bean N; Sisson S; Bode M; Mengersen K; Madden EM, 2020, Stressor equivalents: A framework to prevent perverse outcomes in data-poor systems,

Preprints | 2020

Rahman PA; Beranger B; Roughan M; Sisson SA, 2020, Likelihood-based inference for modelling packet transit from thinned flow summaries, ,

Conference Papers | 2020

Xu M; Quiroz M; Kohn R; Sisson SA, 2020, 'Variance reduction properties of the reparameterization trick', in Aistats 2019 22nd International Conference on Artificial Intelligence and Statistics

Preprints | 2019

Beranger B; Padoan SA; Sisson SA, 2019, Estimation and uncertainty quantification for extreme quantile regions, ,

Preprints | 2019

Beranger B; Stephenson AG; Sisson SA, 2019, High-dimensional inference using the extremal skew-$t$ process,

Preprints | 2019

Chin V; Lee JYL; Ryan LM; Kohn R; Sisson SA, 2019, Multiclass classification of growth curves using random change points and heterogeneous random effects,

Conference Papers | 2019

Fan X; Li B; Li C; Sisson S; Chen L, 2019, 'Scalable deep generative relational model with high-order node dependence', in Wallach H; Larochelle H; Beygelzimer A; d'Alche-Buc F; Fox E; Garnett R (eds.), NeurIPS 2019, 33rd Conference on Neural INformation Processing Systems 2019, NEURAL INFORMATION PROCESSING SYSTEMS (NIPS), Vancouver, Canada, presented at NeurIPS 2019, Vancouver, Canada, 08 December 2019 - 14 December 2019

Conference Papers | 2019

Fan X; Li B; Sisson S, 2019, 'Binary space partitioning forests', in Chaudhuri K; Sugiyama M (ed.), AISTATS 2019, Proceedings of Machine Learning Research, MICROTOME PUBLISHING, Naha, Okinawa, Japan, presented at AISTATS 2019, Naha, Okinawa, Japan, 16 April 2019 - 18 April 2019,

Preprints | 2019

Priddle JW; Sisson SA; Frazier DT; Drovandi C, 2019, Efficient Bayesian synthetic likelihood with whitening transformations,

Preprints | 2019

Rodrigues GS; Nott DJ; Sisson SA, 2019, Likelihood-free approximate Gibbs sampling, ,

Preprints | 2019

Warne DJ; Sisson SA; Drovandi C, 2019, Vector operations for accelerating expensive Bayesian computations -- a tutorial guide, ,

Preprints | 2019

Whitaker T; Beranger B; Sisson SA, 2019, Composite likelihood methods for histogram-valued random variables, ,

Preprints | 2019

Whitaker T; Beranger B; Sisson SA, 2019, Logistic regression models for aggregated data,

Preprints | 2018

Beranger B; Lin H; Sisson SA, 2018, New models for symbolic data analysis,

Preprints | 2018

Beranger B; Padoan SA; Xu Y; Sisson SA, 2018, Extremal properties of the multivariate extended skew-normal distribution,

Preprints | 2018

Beranger B; Padoan SA; Xu Y; Sisson SA, 2018, Extremal properties of the univariate extended skew-normal distribution,

Preprints | 2018

Chin V; Gunawan D; Fiebig DG; Kohn R; Sisson SA, 2018, Efficient data augmentation for multivariate probit models with panel data: An application to general practitioner decision-making about contraceptives,

Conference Papers | 2018

Fan X; Li B; Sisson S, 2018, 'Rectangular bounding process', in Bengio S; Wallach H; Larochelle H; Grauman K; CesaBianchi N; Garnett R (eds.), NeurIPS 2018, 32nd Conference on Neural Information Processing Systems, NEURAL INFORMATION PROCESSING SYSTEMS (NIPS), Montreal, pp. 7620 - 7630, presented at NeurIPS 2018, 32nd Conference on Neural Information Processing Systems, Montreal, 03 December 2018 - 08 December 2018

Conference Papers | 2018

Fan X; Li B; Sisson S, 2018, 'The binary space partitioning tree process', in Storkey A; PerezCruz F (ed.), AISTATS 2018, Proceedings of Machine Learning Research, PMLR, Playa Blanca, Lanzarote, Canary Islands, pp. 1859 - 1867, presented at 21st International Conference on Artificial Intelligence and Statistics : AISTATS 2018, Playa Blanca, Lanzarote, Canary Islands, 09 April 2018 - 11 April 2018,

Preprints | 2018

Nott DJ; Ong VM-H; Fan Y; Sisson SA, 2018, High-dimensional ABC, ,

Preprints | 2018

Xu M; Quiroz M; Kohn R; Sisson SA, 2018, Variance reduction properties of the reparameterization trick,

Preprints | 2017

Chen WY; Peters GW; Gerlach RH; Sisson SA, 2017, Dynamic Quantile Function Models,

Preprints | 2017

Lin H; Caley MJ; Sisson SA, 2017, Estimating global species richness using symbolic data meta-analysis,

Preprints | 2017

Rodrigues GS; Prangle D; Sisson SA, 2017, Recalibration: A post-processing method for approximate Bayesian computation, ,

Preprints | 2016

Beranger B; Duong T; Perkins-Kirkpatrick SE; Sisson SA, 2016, Exploratory data analysis for moderate extreme values using non-parametric kernel methods, ,

Preprints | 2016

Ong VM-H; Nott DJ; Tran M-N; Sisson SA; Drovandi CC, 2016, Variational Bayes with Synthetic Likelihood, ,

Preprints | 2016

Zhang X; Beranger B; Sisson SA, 2016, Constructing Likelihood Functions for Interval-valued Random Variables,

Preprints | 2015

Beranger B; Padoan SA; Sisson SA, 2015, Models for extremal dependence derived from skew-symmetric families, ,

Preprints | 2015

Li J; Nott DJ; Fan Y; Sisson SA, 2015, Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model,

Preprints | 2014

Rodrigues GS; Nott DJ; Sisson SA, 2014, Functional regression approximate Bayesian computation for Gaussian process density estimation, ,

Conference Papers | 2014

Zheng F; Westra S; Sisson S; Leonard M, 2014, 'Flood risk estimation in Australia's coastal zone: Modelling the dependence between extreme rainfall and storm surge', in Hydrology and Water Resources Symposium 2014 Hwrs 2014 Conference Proceedings, pp. 390 - 396

Preprints | 2013

Prangle D; Blum MGB; Popovic G; Sisson SA, 2013, Diagnostic tools of approximate Bayesian computation using the coverage property, ,

Preprints | 2012

Blum MGB; Nunes MA; Prangle D; Sisson SA, 2012, A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation, ,

Preprints | 2012

Fan Y; Nott DJ; Sisson SA, 2012, Approximate Bayesian Computation via Regression Density Estimation, ,

Preprints | 2012

Menendez P; Fan Y; Garthwaite PH; Sisson SA, 2012, Simultaneous adjustment of bias and coverage probabilities for confidence intervals, ,

Preprints | 2011

Nott DJ; Fan Y; Marshall L; Sisson SA, 2011, Approximate Bayesian computation and Bayes linear analysis: Towards high-dimensional ABC,

Preprints | 2010

Garthwaite PH; Fan Y; Sisson SA, 2010, Adaptive Optimal Scaling of Metropolis-Hastings Algorithms Using the Robbins-Monro Process, ,

Preprints | 2010

Peters GW; Nevat I; Sisson SA; Fan Y; Yuan J, 2010, Bayesian Symbol Detection in Wireless Relay Networks via Likelihood-Free Inference,

Preprints | 2010

Sisson SA; Peters GW; Briers M; Fan Y, 2010, A note on target distribution ambiguity of likelihood-free samplers, ,

Preprints | 2009

Fan Y; Dortet-Bernadet J-L; Sisson SA, 2009, On Bayesian Curve Fitting Via Auxiliary Variables, ,

Preprints | 2009

Padoan SA; Ribatet M; Sisson SA, 2009, Likelihood-based inference for max-stable processes, ,

Preprints |

Chen WY; Peters GW; Gerlach RH; Sisson S, Dynamic Quantile Function Models,

Preprints |

Peters G; Sisson S; Fan Y, Likelihood-Free Bayesian Inference for -Stable Models,

Preprints |

Peters GW; Sisson S, Bayesian Inference, Monte Carlo Sampling and Operational Risk.,

Sustained funding from the Australian Research Council
Government and industry collaborative research

2024 Elected Fellow of the International Society of Bayesian Analysis

2023 Elected Fellow of the Institute of Mathematical Statistics

2020 Service Award (Statistical Society of Australia)

2017 ARC Future Fellowship

2015 G. N. Alexander Medal, joint with F. Zheng, S. Westra and M. Leonard (Institution of Engineers Australia)

2011 Moran Medal, joint with Dr. M. M. Tanaka (Australian Academy of Science)

2010 J. G. Russell Award (Australian Academy of Science)

2010 Queen Elizabeth II Research Fellowship (Australian Research Council)

2006 John Yu Fellowship

Research Goals

Have fun
Do cool things
Only tackle challenging problems
Only do worthwhile things

Research Areas

Bayesian inference and related learning
Computational statistics and algorithms
Machine learning
Statistical extreme value theory and applications
Diverse applications
Government and industry related research

Professional affiliations and service positions

Associate Editor: Journal of Computational and Graphical Statistics

Associate Editor: Statistics and Computing

Past Deputy Director of the Australian Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS)

Past President of the Australasian Society of Bayesian Analysis

Past President of the Statistical Society of Australia

Past President of the NSW Branch of the Statistical Society of Australia

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