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Dr Boris Beranger

Dr Boris Beranger

Senior Lecturer
  • PhD in听 Statistics (Universit茅 听Pierre and Marie Curie, Paris 6, France and University of New South Wales, Sydney, Australia,听2016)
  • MSc in Mathematics听(Universit茅 听Pierre and Marie Curie, Paris 6,听2011)
Science
School of Mathematics & Statistics

My research is in theoretical and computational statistics. In particular, I am interested in Extreme Value Theory (EVT) with applications to extreme environmental events (floods, heat waves, air pollution, ...). I am also interested in Symbolic Data Analysis,听an emerging field of statistics which aims at analysing data which arise (or are transformed) in a non-standard form.

For more information, please visit my

听
Phone
9385 7083
E-mail
b.beranger@unsw.edu.au
Location
School of Mathematics and Statistics 国产精品 AUSTRALIA SYDNEY NSW 2052 The Red Centre Room 4103
  • Book Chapters | 2016
    , 2016, 'Extreme Dependence Models', in Extreme Value Modeling and Risk Analysis, Chapman and Hall/CRC, pp. 345 - 372,
    Book Chapters | 2016
    Stephenson A, 2016, 'Bayesian Inference for Extreme Value Modelling', in Extreme Value Modeling and Risk Analysis, Taylor & Francis, pp. 277 - 300,
  • Journal articles | 2023
    Beranger B; Lin H; Sisson S, 2023, 'New models for symbolic data analysis', Advances in Data Analysis and Classification, 17, pp. 659 - 699,
    Journal articles | 2023
    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,
    Journal articles | 2022
    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,
    Journal articles | 2021
    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,
    Journal articles | 2021
    Beranger B; Padoan SA; Sisson SA, 2021, 'Estimation and uncertainty quantification for extreme quantile regions', Extremes, 24, pp. 349 - 375,
    Journal articles | 2021
    Beranger B; Stephenson AG; Sisson SA, 2021, 'High-dimensional inference using the extremal skew-t process', Extremes, 24, pp. 653 - 685,
    Journal articles | 2021
    Whitaker T; Beranger B; Sisson SA, 2021, 'Logistic Regression Models for Aggregated Data', Journal of Computational and Graphical Statistics, 30, pp. 1049 - 1067,
    Journal articles | 2020
    Rahman PA; Beranger B; Roughan M; Sisson SA, 2020, 'Likelihood-based inference for modelling packet transit from thinned flow summaries', ,
    Journal articles | 2020
    Whitaker T; Beranger B; Sisson SA, 2020, 'Composite likelihood methods for histogram-valued random variables', Statistics and Computing, 30, pp. 1459 - 1477,
    Journal articles | 2020
    Zhang X; Beranger B; Sisson SA, 2020, 'Constructing likelihood functions for interval-valued random variables', Scandinavian Journal of Statistics, 47, pp. 1 - 35,
    Journal articles | 2019
    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,
    Journal articles | 2019
    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,
    Journal articles | 2019
    B茅ranger 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,
    Journal articles | 2018
    Beranger B; Lin H; Sisson SA, 2018, 'New models for symbolic data analysis', ,
    Journal articles | 2017
    Beranger B; Padoan SA; Sisson SA, 2017, 'Models for Extremal Dependence Derived from Skew-symmetric Families', Scandinavian Journal of Statistics, 44, pp. 21 - 45,
    Journal articles | 2016
    Beranger B; Padoan S, 2016, 'Extreme dependence models', , pp. 325 - 352
  • Preprints | 2024
    Yang Y; Quiroz M; Beranger B; Kohn R; Sisson SA, 2024, Analysing symbolic data by pseudo-marginal methods, ,
    Preprints | 2024
    Zhong P; Sisson SA; Beranger B, 2024, Flexible max-stable processes for fast and efficient inference, ,
    Preprints | 2020
    Rahman PA; Beranger B; Roughan M; Sisson SA, 2020, Likelihood-based inference for modelling packet transit from thinned flow summaries, ,
    Preprints | 2019
    Beranger B; Padoan SA; Sisson SA, 2019, Estimation and uncertainty quantification for extreme quantile regions, ,
    Preprints | 2019
    Beranger B; Stephenson AG; Sisson SA, 2019, High-dimensional inference using the extremal skew-$t$ process, ,
    Preprints | 2019
    Whitaker T; Beranger B; Sisson SA, 2019, Composite likelihood methods for histogram-valued random variables, ,
    Preprints | 2019
    Whitaker T; Beranger B; Sisson SA, 2019, Logistic regression models for aggregated data, ,
    Preprints | 2018
    Beranger B; Lin H; Sisson SA, 2018, New models for symbolic data analysis, ,
    Preprints | 2018
    Beranger B; Padoan SA; Xu Y; Sisson SA, 2018, Extremal properties of the multivariate extended skew-normal distribution, ,
    Preprints | 2018
    Beranger B; Padoan SA; Xu Y; Sisson SA, 2018, Extremal properties of the univariate extended skew-normal distribution, ,
    Preprints | 2016
    Beranger B; Duong T; Perkins-Kirkpatrick SE; Sisson SA, 2016, Exploratory data analysis for moderate extreme values using non-parametric kernel methods, ,
    Preprints | 2016
    Zhang X; Beranger B; Sisson SA, 2016, Constructing Likelihood Functions for Interval-valued Random Variables, ,
    Preprints | 2015
    Beranger B; Padoan SA; Sisson SA, 2015, Models for extremal dependence derived from skew-symmetric families, ,
    Preprints | 2015
    Beranger B; Padoan SA, 2015, Extreme Dependence Models, ,

  • 2018-19: ACEMS Research Support Scheme (RSS), $7600

  • 2014: J.B. Douglas Award, Statistical Society of Australia, NSW Branch, Excellence in Postgraduate Research

My Research Supervision

  • Tom Whitaker, PhD Student: Symbolic Data Analysis
  • Prosha Rahman, PhD Student: Symbolic Data Analysis
  • Bowen Wang, Masters Student: Extreme Value Theory and Symbolic Data Analysis
  • Lewis Wright, Honours Student: Extreme Value Theory and Symbolic Data Analysis
  • Max Fisher, Honours Student: Symbolic Data Analysis