| Reducing Indigenous contact with the court system B Beranger, D Weatherburn, S Moffatt NSW Bureau of Crime Statistics and Research, 2010 | 22 | 2010 |
| Constructing likelihood functions for interval‐valued random variables X Zhang, B Beranger, SA Sisson Scandinavian Journal of Statistics 47 (1), 1-35, 2020 | 21 | 2020 |
| New models for symbolic data analysis B Beranger, H Lin, S Sisson Advances in Data Analysis and Classification 17 (3), 659-699, 2023 | 17 | 2023 |
| Models for extremal dependence derived from skew‐symmetric families B Beranger, SA Padoan, SA Sisson Scandinavian Journal of Statistics 44 (1), 21-45, 2017 | 17 | 2017 |
| Extreme dependence models B Beranger, SA Padoan Extreme Value Modeling and Risk Analysis: Methods and Applications (D. Dey …, 2015 | 15 | 2015 |
| Composite likelihood methods for histogram-valued random variables T Whitaker, B Beranger, SA Sisson Statistics and Computing 30 (5), 1459-1477, 2020 | 14 | 2020 |
| Tail density estimation for exploratory data analysis using kernel methods B Béranger, T Duong, SE Perkins-Kirkpatrick, SA Sisson Journal of Nonparametric Statistics 31 (1), 144-174, 2019 | 12* | 2019 |
| Logistic regression models for aggregated data T Whitaker, B Beranger, SA Sisson Journal of Computational and Graphical Statistics 30 (4), 1049-1067, 2021 | 9 | 2021 |
| Extremal properties of the univariate extended skew-normal distribution, Part A B Beranger, SA Padoan, Y Xu, SA Sisson Statistics & Probability Letters 147, 73-82, 2019 | 8 | 2019 |
| Likelihood-based inference for modelling packet transit from thinned flow summaries P Rahman, B Beranger, S Sisson, M Roughan IEEE Transactions on Signal and Information Processing over Networks 8, 571-583, 2022 | 7 | 2022 |
| Estimation and uncertainty quantification for extreme quantile regions B Beranger, SA Padoan, SA Sisson Extremes 24, 349-375, 2021 | 7 | 2021 |
| High-dimensional inference using the extremal skew-t process B Beranger, AG Stephenson, SA Sisson Extremes 24, 653-685, 2021 | 6 | 2021 |
| ExtremalDep: extremal dependence models B Beranger, S Padoan, G Marcon, SG Johnson | 6 | 2021 |
| Extremal properties of the multivariate extended skew-normal distribution, Part B B Beranger, SA Padoan, Y Xu, SA Sisson Statistics & Probability Letters 147, 105-114, 2019 | 6 | 2019 |
| Cohort effects on prevalence of refractive error in US and Korean NHANES TR Fricke, J Olivier, S Resnikoff, N Tahhan, B Beranger, S Kweon, L Keay Investigative Ophthalmology & Visual Science 64 (8), 808-808, 2023 | | 2023 |
| Improving population‐level refractive error monitoring via mixture distributions TR Fricke, L Keay, S Resnikoff, N Tahhan, O Koumbo, P Paudel, LN Ayton, ... Ophthalmic and Physiological Optics 43 (3), 445-453, 2023 | | 2023 |
| Correction to: Estimation and uncertainty quantification for extreme quantile regions B Boris, SA Padoan, SA Sisson Extremes 24 (2), 377-378, 2021 | | 2021 |
| Exploratory data analysis for extreme values using non-parametric kernel methods B Béranger, T Duong, SE Perkins-Kirkpatrick, SA Sisson arXiv preprint arXiv:1602.08807, 2016 | | 2016 |
| Modélisation de la structure de dépendance d'extrêmes multivariés et spatiaux B Béranger Paris 6, 2016 | | 2016 |
| Modelling the dependence structure of multivariate and spatial extremes B Beranger UNSW Sydney, 2016 | | 2016 |
Scott SissonProfessor of Statistics & Data Science, University of New South WalesVerified email at unsw.edu.au
