Scott Sisson

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Yanan FanSenior Principal Research Scientist, Data61, CSIRO; Professor of Statistics (adjunct) UNSWVerified email at csiro.au
Mark TanakaUniversity of New South WalesVerified email at unsw.edu.au
David NottAssociate Professor of Statistics, National University of SingaporeVerified email at nus.edu.sg
Xuhui FanMacquarie UniversityVerified email at mq.edu.au
Bin LiFudan UniversityVerified email at fudan.edu.cn
Prof. Dr. Gareth W. PetersDuncan Endowed Chair Actuarial & Professor of Statistics for Risk & InsuranceVerified email at ucsb.edu
Boris BerangerUniversity of New South Wales, SydneyVerified email at unsw.edu.au
Seth WestraUniversity of AdelaideVerified email at adelaide.edu.au
Ashish SharmaProfessor, Civil and Environmental Engineering, UNSWVerified email at unsw.edu.au
Simone A. PadoanAssociate Professor in the Departement of Decision Sciences at the Bocconi University of MilanVerified email at unibocconi.it
Mark BeaumontProfessor of Statistics, University of BristolVerified email at bristol.ac.uk
Lucy MarshallThe University of SydneyVerified email at sydney.edu.au
Feifei ZhengProfessor，Principal Investigator, Collge of Civil Engineering and Architecture Anzhong BuildingVerified email at zju.edu.cn
Christopher DrovandiProfessor of Statistics, Queensland University of TechnologyVerified email at qut.edu.au
Andrew FrancisSchool of Mathematics and Statistics, University of New South Wales, Sydney, AustraliaVerified email at unsw.edu.au
Dennis PrangleUniversity of BristolVerified email at bristol.ac.uk
robert kohnProfessor of Economics University of New South WalesVerified email at unsw.edu.au
Fabio LucianiProfessor, University of New South Wales, Sydney, AustraliaVerified email at unsw.edu.au
Michael BlumCNRSVerified email at seqone.com
Kerrie MengersenQueensland University of TechnologyVerified email at qut.edu.au

Scott Sisson

Professor of Statistics & Data Science, University of New South Wales

Verified email at unsw.edu.au - Homepage

Statistics Bayesian statistics data science extreme value theory approximate Bayesian computation


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Sequential monte carlo without likelihoods SA Sisson, Y Fan, MM Tanaka Proceedings of the National Academy of Sciences 104 (6), 1760-1765, 2007	1112	2007
Handbook of approximate Bayesian computation SA Sisson, Y Fan, M Beaumont CRC press, 2018	626	2018
Likelihood-based inference for max-stable processes SA Padoan, M Ribatet, SA Sisson Journal of the American Statistical Association 105 (489), 263-277, 2010	501	2010
A comparative review of dimension reduction methods in approximate Bayesian computation MGB Blum, MA Nunes, D Prangle, SA Sisson	472	2013
A fully probabilistic approach to extreme rainfall modeling S Coles, LR Pericchi, S Sisson Journal of Hydrology 273 (1-4), 35-50, 2003	386	2003
Quantifying the dependence between extreme rainfall and storm surge in the coastal zone F Zheng, S Westra, SA Sisson Journal of hydrology 505, 172-187, 2013	218	2013
Transdimensional Markov chains: A decade of progress and future perspectives SA Sisson Journal of the American Statistical Association 100 (471), 1077-1089, 2005	210	2005
Modeling dependence between extreme rainfall and storm surge to estimate coastal flooding risk F Zheng, S Westra, M Leonard, SA Sisson Water Resources Research 50 (3), 2050-2071, 2014	202	2014
The epidemiological fitness cost of drug resistance in Mycobacterium tuberculosis F Luciani, SA Sisson, H Jiang, AR Francis, MM Tanaka Proceedings of the National Academy of Sciences 106 (34), 14711-14715, 2009	199	2009
Detection of non-stationarity in precipitation extremes using a max-stable process model S Westra, SA Sisson Journal of Hydrology 406 (1-2), 119-128, 2011	197	2011
In defence of model‐based inference in phylogeography MA Beaumont, R Nielsen, C Robert, J Hey, O Gaggiotti, L Knowles, ... Molecular ecology 19 (3), 436-446, 2010	196	2010
Using approximate Bayesian computation to estimate tuberculosis transmission parameters from genotype data MM Tanaka, AR Francis, F Luciani, SA Sisson Genetics 173 (3), 1511-1520, 2006	194	2006
Inference for stereological extremes P Bortot, SG Coles, SA Sisson Journal of the American Statistical Association 102 (477), 84-92, 2007	187	2007
Rapid shifts in dispersal behavior on an expanding range edge T Lindström, GP Brown, SA Sisson, BL Phillips, R Shine Proceedings of the National Academy of Sciences 110 (33), 13452-13456, 2013	160	2013
Bayesian Inference, Monte Carlo Sampling and Operational Risk. G Peters, S Sisson Peters GW and Sisson SA (2006)“Bayesian Inference, Monte Carlo Sampling and …, 2006	130	2006
Adaptive optimal scaling of Metropolis–Hastings algorithms using the Robbins–Monro process PH Garthwaite, Y Fan, SA Sisson Communications in Statistics-Theory and Methods 45 (17), 5098-5111, 2016	124	2016
Ensemble of ARIMA: combining parametric and bootstrapping technique for traffic flow prediction S Shahriari, M Ghasri, SA Sisson, T Rashidi Transportmetrica A: Transport Science 16 (3), 1552-1573, 2020	118	2020
Likelihood-free MCMC SA Sisson, Y Fan Handbook of Markov Chain Monte Carlo, 313-335, 2011	116	2011
Development of a formal likelihood function for improved Bayesian inference of ephemeral catchments T Smith, A Sharma, L Marshall, R Mehrotra, S Sisson Water Resources Research 46 (12), 2010	112	2010
On sequential Monte Carlo, partial rejection control and approximate Bayesian computation GW Peters, Y Fan, SA Sisson Statistics and Computing 22, 1209-1222, 2012	110	2012

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