By Professor Scott Anthony Sisson

Journal articles

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, http://dx.doi.org/10.1073/pnas.0902437106

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

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 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, https://proceedings.mlr.press/v202/fan23a.html

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 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

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, http://proceedings.mlr.press/v89/fan19b/fan19b.pdf

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

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, 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, http://dx.doi.org/10.26190/unsworks/28191, 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

Working Papers

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

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, , http://dx.doi.org/10.48550/arxiv.2403.05756

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

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