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Dr Boris Beranger
Research Associate
UNSW Sydney
Boris Beranger is currently a research associate at UNSW Sydney. He received a PhD in Statistics jointly from Université Pierre and Marie Curie, Paris 6 and UNSW with a thesis entitled ``Modelling the dependence structure of multivariate and spatial extremes''. His research focus on the analysis of extremes with a particular interests in modelling extreme environmental events. He also has a strong interest in analysing challenging and complex datasets using symbolic data analysis. More information can be found on my webpage
Research Interests:
Big Data
Extreme value theory
Symbolic data analysis
Qualifications:
Ph.D. in Statistics, Université Pierre and Marie Curie, Paris 6, France and UNSW Sydney, Australia.
Prizes, awards and special recognition
2019
Outreach Participantion Award was awarded to Boris Beranger, David Gunawan, Matias Quiroz, Xuhui Fan, Jaslene Lin, Yu Yang, KD Dang, Tom Whitaker, Nick Nguyen, Mingda Xu, Igor Balnozan, Hung Dao, Vincent Chin, Scott Sisson, Robert Kohn. Awarded from the ACEMS.
Publications
Invited talks, refereed proceedings and other conference outputs
Whitaker, T.., Beranger B.., & Sisson S.
(2017). A composite likelihood based approach for max-stable processes using histogram-valued variables.
Extreme Value Analysis 2017.
Sisson, S., Beranger B.., Lin H.., & Whitaker T..
(2017). New methods for symbolic data analysis (conference presentation).
SDA17 international conference, Ljubljana, Slovenia.
Journal Articles
Beranger, B.., Duong T.., Perkins-Kirkpatrick S.., & Sisson S.
(2019). Tail density estimation for exploratory data analysis using kernel methods.
Journal of Nonparametric Statistics. 31(1), 144-174. doi: 10.1080/10485252.2018.1537442
Beranger, B.., Padoan S.. A., & Sisson S.
(2017). Models for extremal dependence derived from skew-symmetric families..
Scandinavian Journal of Statistics. 44, doi: 10.1111/sjos.12240