By Dr Boris Jean Eudes Beranger

Book Chapters

Stephenson A, 2016, 'Bayesian Inference for Extreme Value Modelling', in Extreme Value Modeling and Risk Analysis, Taylor & Francis, pp. 277 - 300, http://dx.doi.org/10.1201/b19721-17

, 2016, 'Extreme Dependence Models', in Extreme Value Modeling and Risk Analysis, Chapman and Hall/CRC, pp. 345 - 372, http://dx.doi.org/10.1201/b19721-20

Journal articles

Weatherburn D; Beranger B, 2024, 'The influence of neighbourhood disadvantage on charge dismissal: the case of drunk driving', Current Issues in Criminal Justice, 36, pp. 265 - 282, http://dx.doi.org/10.1080/10345329.2023.2293329

Beranger B; Lin H; Sisson S, 2023, 'New models for symbolic data analysis', Advances in Data Analysis and Classification, 17, pp. 659 - 699, http://dx.doi.org/10.1007/s11634-022-00520-8

Fricke TR; Keay L; Resnikoff S; Tahhan N; Koumbo O; Paudel P; Ayton LN; Britten-Jones AC; Kweon S; Li JCH; Lee L; Wagner P; Weng R; Beranger B; Olivier J, 2023, 'Improving population-level refractive error monitoring via mixture distributions', Ophthalmic and Physiological Optics, 43, pp. 445 - 453, http://dx.doi.org/10.1111/opo.13105

Rahman P; Beranger B; Sisson S; Roughan M, 2022, 'Likelihood-Based Inference for Modelling Packet Transit From Thinned Flow Summaries', IEEE Transactions on Signal and Information Processing over Networks, 8, pp. 571 - 583, http://dx.doi.org/10.1109/TSIPN.2022.3188457

Beranger B; Stephenson AG; Sisson SA, 2021, 'High-dimensional inference using the extremal skew-t process', Extremes, 24, pp. 653 - 685, http://dx.doi.org/10.1007/s10687-020-00376-1

Beranger B; Padoan SA; Sisson SA, 2021, 'Correction to: Estimation and uncertainty quantification for extreme quantile regions (Extremes, (2021), 24, 2, (349-375), 10.1007/s10687-019-00364-0)', Extremes, 24, pp. 377 - 378, http://dx.doi.org/10.1007/s10687-021-00408-4

Beranger B; Padoan SA; Sisson SA, 2021, 'Estimation and uncertainty quantification for extreme quantile regions', Extremes, 24, pp. 349 - 375, http://dx.doi.org/10.1007/s10687-019-00364-0

Whitaker T; Beranger B; Sisson SA, 2021, 'Logistic Regression Models for Aggregated Data', Journal of Computational and Graphical Statistics, 30, pp. 1049 - 1067, http://dx.doi.org/10.1080/10618600.2021.1895816

Whitaker T; Beranger B; Sisson SA, 2020, 'Composite likelihood methods for histogram-valued random variables', Statistics and Computing, 30, pp. 1459 - 1477, http://dx.doi.org/10.1007/s11222-020-09955-5

Rahman PA; Beranger B; Roughan M; Sisson SA, 2020, 'Likelihood-based inference for modelling packet transit from thinned flow summaries', , http://arxiv.org/abs/2008.13424v1

Zhang X; Beranger B; Sisson SA, 2020, 'Constructing likelihood functions for interval-valued random variables', Scandinavian Journal of Statistics, 47, pp. 1 - 35, http://dx.doi.org/10.1111/sjos.12395

Beranger B; Padoan SA; Xu Y; Sisson SA, 2019, 'Extremal properties of the multivariate extended skew-normal distribution, Part B', Statistics and Probability Letters, 147, pp. 105 - 114, http://dx.doi.org/10.1016/j.spl.2018.11.031

Beranger B; Padoan SA; Xu Y; Sisson SA, 2019, 'Extremal properties of the univariate extended skew-normal distribution, Part A', Statistics and Probability Letters, 147, pp. 73 - 82, http://dx.doi.org/10.1016/j.spl.2018.09.018

Béranger B; Duong T; Perkins-Kirkpatrick SE; Sisson SA, 2019, 'Tail density estimation for exploratory data analysis using kernel methods', Journal of Nonparametric Statistics, 31, pp. 144 - 174, http://dx.doi.org/10.1080/10485252.2018.1537442

Beranger B; Lin H; Sisson SA, 2018, 'New models for symbolic data analysis', , http://arxiv.org/abs/1809.03659v2

Beranger B; Padoan SA; Sisson SA, 2017, 'Models for Extremal Dependence Derived from Skew-symmetric Families', Scandinavian Journal of Statistics, 44, pp. 21 - 45, http://dx.doi.org/10.1111/sjos.12240

Beranger B; Padoan S, 2016, 'Extreme dependence models', , pp. 325 - 352

Preprints

Yang Y; Quiroz M; Beranger B; Kohn R; Sisson SA, 2024, Analysing symbolic data by pseudo-marginal methods, http://arxiv.org/abs/2408.04419v1

Zhong P; Sisson SA; Beranger B, 2024, Flexible max-stable processes for fast and efficient inference, http://arxiv.org/abs/2407.13958v4

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

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

Whitaker T; Beranger B; Sisson SA, 2019, Composite likelihood methods for histogram-valued random variables, http://dx.doi.org/10.48550/arxiv.1908.11548

Beranger B; Stephenson AG; Sisson SA, 2019, High-dimensional inference using the extremal skew-$t$ process, http://dx.doi.org/10.48550/arxiv.1907.10187

Beranger B; Padoan SA; Sisson SA, 2019, Estimation and uncertainty quantification for extreme quantile regions, http://dx.doi.org/10.48550/arxiv.1904.08251

Beranger B; Padoan SA; Xu Y; Sisson SA, 2018, Extremal properties of the multivariate extended skew-normal distribution, http://dx.doi.org/10.48550/arxiv.1810.00680

Beranger B; Lin H; Sisson SA, 2018, New models for symbolic data analysis, http://dx.doi.org/10.48550/arxiv.1809.03659

Beranger B; Padoan SA; Xu Y; Sisson SA, 2018, Extremal properties of the univariate extended skew-normal distribution, http://dx.doi.org/10.48550/arxiv.1805.03316

Zhang X; Beranger B; Sisson SA, 2016, Constructing Likelihood Functions for Interval-valued Random Variables, http://dx.doi.org/10.48550/arxiv.1608.00107

Beranger B; Duong T; Perkins-Kirkpatrick SE; Sisson SA, 2016, Exploratory data analysis for moderate extreme values using non-parametric kernel methods, http://dx.doi.org/10.48550/arxiv.1602.08807

Beranger B; Padoan SA, 2015, Extreme Dependence Models, http://dx.doi.org/10.48550/arxiv.1508.05561

Beranger B; Padoan SA; Sisson SA, 2015, Models for extremal dependence derived from skew-symmetric families, http://dx.doi.org/10.48550/arxiv.1507.00108

Back to profile page