Scott Sisson

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Yanan FanSenior Principal Research Scientist, Data61, CSIRO; Professor of Statistics (adjunct) University ofVerified email at csiro.au
David NottAssociate Professor of Statistics, National University of SingaporeVerified email at nus.edu.sg
Xuhui FanUniversity of NewcastleVerified email at newcastle.edu.au
Bin LiFudan UniversityVerified email at fudan.edu.cn
Ashish SharmaProfessor, Civil and Environmental Engineering, UNSWVerified email at unsw.edu.au
Boris BerangerUniversity of New South Wales, SydneyVerified email at unsw.edu.au
Mark BeaumontProfessor of Statistics, University of BristolVerified email at bristol.ac.uk
Simone A. PadoanAssociate Professor in the Departement of Decision Sciences at the Bocconi University of MilanVerified email at unibocconi.it
Seth WestraUniversity of AdelaideVerified email at adelaide.edu.au
Lucy MarshallMacquarie UniversityVerified email at mq.edu.au
Andrew FrancisCentre for Research in Mathematics and Data Science, Western Sydney UniversityVerified email at westernsydney.edu.au
Christopher DrovandiProfessor of Statistics, Queensland University of TechnologyVerified email at qut.edu.au
Feifei ZhengProfessor，Principal Investigator, Collge of Civil Engineering and Architecture Anzhong BuildingVerified email at zju.edu.cn
Dennis PrangleBristol UniversityVerified email at bristol.ac.uk
Fabio LucianiAssociate Professor, University of New South Wales, Sydney, AustraliaVerified email at unsw.edu.au
Michael BlumSeqOneVerified email at seqone.com
Sarah Perkins-KirkpatrickAssociate Professor/ ARC Future FellowVerified email at unsw.edu.au
LUIS PERICCHIProfessor of Mathematics, University of Puerto Rico, Rio Piedras PiedrasVerified email at upr.edu
Stuart KhanUniversity of New South WalesVerified email at unsw.edu.au
Pitman AJThe University of New South WalesVerified email at unsw.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	1002	2007
Handbook of approximate Bayesian computation SA Sisson, Y Fan, M Beaumont CRC Press, 2018	455	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	451	2010
A comparative review of dimension reduction methods in approximate Bayesian computation MGB Blum, MA Nunes, D Prangle, SA Sisson	422	2013
A fully probabilistic approach to extreme rainfall modeling S Coles, LR Pericchi, S Sisson Journal of Hydrology 273 (1-4), 35-50, 2003	366	2003
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	195	2009
Transdimensional Markov chains: A decade of progress and future perspectives SA Sisson Journal of the American Statistical Association 100 (471), 1077-1089, 2005	195	2005
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	193	2010
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	184	2011
Likelihood-free MCMC SA Sisson, Y Fan Handbook of Markov Chain Monte Carlo, 313-335, 2011	180	2011
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	179	2013
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	174	2006
Inference for stereological extremes P Bortot, SG Coles, SA Sisson Journal of the American Statistical Association 102 (477), 84-92, 2007	173	2007
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	164	2014
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	154	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	124	2006
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	110	2010
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	103	2016
On sequential Monte Carlo, partial rejection control and approximate Bayesian computation GW Peters, Y Fan, SA Sisson Statistics and Computing 22, 1209-1222, 2012	100	2012
Likelihood-free Bayesian inference for α-stable models GW Peters, SA Sisson, Y Fan Computational Statistics & Data Analysis 56 (11), 3743-3756, 2012	80	2012

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