Select Publications

Journal articles

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

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

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

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

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

Sisson S, 2006, 'Book Reviews', Journal of the Royal Statistical Society Series A: Statistics in Society, 169, pp. 168 - 169, http://dx.doi.org/10.1111/j.1467-985x.2005.00395_2.x

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, http://dx.doi.org/10.1007/s00477-005-0246-4

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, http://dx.doi.org/10.1080/03610920500439612

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

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

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, http://dx.doi.org/10.1534/genetics.106.055574

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

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

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

Sisson S, 2004, 'Book Reviews', Journal of the Royal Statistical Society Series A: Statistics in Society, 167, pp. 566 - 567, http://dx.doi.org/10.1111/j.1467-985x.2004.02057_3.x

Sisson S, 2004, 'Hidden Markov Models for Bioinformatics', Journal of the Royal Statistical Society Series A: Statistics in Society, 167, pp. 194 - 195, http://dx.doi.org/10.1111/j.1467-985x.2004.298_13.x

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

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

Coles S; Pericchi LR; Sisson S, 2003, 'A fully probabilistic approach to extreme rainfall modeling', Journal of Hydrology, 273, pp. 35 - 50, http://dx.doi.org/10.1016/S0022-1694(02)00353-0

Sisson S, 2003, '', Information Retrieval, 6, pp. 275 - 277, http://dx.doi.org/10.1023/a:1023988306026

Sisson S, 2003, 'Book Review: Handbook of statistical genetics', Statistical Methods in Medical Research, 12, pp. 86 - 87, http://dx.doi.org/10.1177/096228020301200109

Sisson S, 2003, 'The Basics of S-PLUS', Journal of the Royal Statistical Society: Series D (The Statistician), 52, pp. 413 - 414, http://dx.doi.org/10.1111/1467-9884.00369_16

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, http://dx.doi.org/10.1111/1467-9868.00359

Conference Papers

Fan X; Bonilla EV; O'Kane TJ; Sisson SA, 2023, 'Free-Form Variational Inference for Gaussian Process State-Space Models', in Proceedings of Machine Learning Research, pp. 9603 - 9622

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

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

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

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, http://proceedings.mlr.press/v108/fan20a/fan20a.pdf

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

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

Fan X; Li B; Li C; Sisson S; Chen L, 2019, 'Scalable deep generative relational model with high-order node dependence', in NeurIPS 2019, 33rd Conference on Neural INformation Processing Systems 2019, Vancouver, Canada, presented at NeurIPS 2019, Vancouver, Canada, 08 December 2019

Fan X; Li B; Sisson S, 2019, 'Binary space partitioning forests', in AISTATS 2019, Proceedings of Machine Learning Research, Naha, Okinawa, Japan, presented at AISTATS 2019, Naha, Okinawa, Japan, 16 April 2019, http://proceedings.mlr.press/v89/fan19b/fan19b.pdf

Fan X; Li B; Sisson S, 2018, 'Rectangular bounding process', in NeurIPS 2018, 32nd Conference on Neural Information Processing Systems, Montreal, presented at NeurIPS 2018, 32nd Conference on Neural Information Processing Systems, Montreal, 03 December 2018 - 08 December 2018

Fan X; Li B; Sisson S, 2018, 'The binary space partitioning tree process', in 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, http://proceedings.mlr.press/v84/fan18b/fan18b.pdf

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

Conference Posters

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, https://ndarc.med.unsw.edu.au/resource/trends-methamphetamine-harms-australia

Reports

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, http://dx.doi.org/10.26190/ad59-k695

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, https://www.allenshub.unsw.edu.au/sites/default/files/inline-files/20210806%20HUB%20AUSCL%20UDASH%20CSI%20DIIU%20CSRI%20submission%20on%20Australian%20Data%20Strategy_0.pdf

Preprints

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?, , http://dx.doi.org/10.21203/rs.3.rs-3999289/v1

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

Yang Y; Quiroz M; Kohn R; Sisson SA, 2022, A correlated pseudo-marginal approach to doubly intractable problems, , http://arxiv.org/abs/2210.02734v1

Chakraborty A; Nott DJ; Drovandi C; Frazier DT; Sisson SA, 2022, Modularized Bayesian analyses and cutting feedback in likelihood-free inference, , http://dx.doi.org/10.48550/arxiv.2203.09782

Lopatnikova A; Tran M-N; Sisson SA, 2021, An Introduction to Quantum Computing for Statisticians and Data Scientists, , http://dx.doi.org/10.48550/arxiv.2112.06587

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, , http://dx.doi.org/10.1101/2021.06.29.21259707

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, , http://arxiv.org/abs/2105.01226v1

Balnozan I; Fiebig DG; Asher A; Kohn R; Sisson SA, 2020, Hidden Group Time Profiles: Heterogeneous Drawdown Behaviours in Retirement, , http://arxiv.org/abs/2009.01505v2

Rahman PA; Beranger B; Roughan M; Sisson SA, 2020, Likelihood-based inference for modelling packet transit from thinned flow summaries, , http://dx.doi.org/10.48550/arxiv.2008.13424

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, , http://dx.doi.org/10.22541/au.159283264.49749008

Whitaker T; Beranger B; Sisson SA, 2019, Logistic regression models for aggregated data, , http://dx.doi.org/10.48550/arxiv.1912.03805

Chin V; Lee JYL; Ryan LM; Kohn R; Sisson SA, 2019, Multiclass classification of growth curves using random change points and heterogeneous random effects, , http://arxiv.org/abs/1909.07550v1


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