Boris Beranger
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Journal article
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Date
2021
2020
2019
2017
2015
B. Beranger
,
A.G. Stephenson
,
S.A. Sisson
(2021).
High-dimensional inference using the extremal skew-t process
. In
Extremes
.
Preprint
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DOI
B. Beranger
,
S.A. Padoan
,
S.A. Sisson
(2021).
Estimation and uncertainty quantification for extreme quantile regions
. In
Extremes
.
Preprint
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Code
DOI
T. Whitaker
,
B. Beranger
,
S.A. Sisson
(2021).
Logistic regression models for aggregated data
. In
Journal of Computational and Graphical Statistics
.
Preprint
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DOI
Prosha A. Rahman
,
B. Beranger
,
M. Roughan
,
S.A. Sisson
(2020).
Likelihood-based inference for modelling packet transit from thinned flow summaries
. Submitted.
Preprint
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DOI
T. Whitaker
,
B. Beranger
,
S.A. Sisson
(2020).
Composite likelihood methods for histogram-valued random variables
. In
Statistics and Computing
.
Preprint
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DOI
X. Zhang
,
B. Beranger
,
S.A. Sisson
(2020).
Constructing likelihood functions for interval-valued random variables
. In
Scandinavian Journal of Statistics
.
Preprint
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DOI
B. Beranger
,
H. Lin
,
S.A. Sisson
(2019).
New models for symbolic data analysis
. Submitted.
Preprint
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Code
DOI
B. Beranger
,
T. Duong
,
S.E. Perkins-Kirkpatrick
,
S.A. Sisson
(2019).
Tail density estimation for exploratory data analysis using kernel methods
. In
Journal of Nonparametric Statistics
.
Preprint
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B. Beranger
,
S.A. Padoan
,
Y. Xu
,
S.A. Sisson
(2019).
Extremal properties of the univariate extended skew-normal distribution, Part A
. In
Statistics and Probability Letters
.
Preprint
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DOI
B. Beranger
,
S.A. Padoan
,
Y. Xu
,
S.A. Sisson
(2019).
Extremal properties of the multivariate extended skew-normal distribution, Part B
. In
Statistics and Probability Letters
.
Preprint
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DOI
B. Beranger
,
S.A. Padoan
,
S.A. Sisson
(2017).
Models for Extremal Dependence Derived from Skew-symmetric Families
. In
Scandinavian Journal of Statistics
.
Preprint
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DOI
B. Beranger
,
S. A. Padoan
(2015).
Extreme Dependence Models
. In
Extreme Value Modelling and Risk Analysis: Methods and Applications
. Eds. D. Dey and J. Yan. Chapman & Hall/CRC Press.
Preprint
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