Posts by Collection

awards

Doctoral Scholarship

Ontario Graduate Scholarship (awarded 4 times, for 1 year each)

Probability Section Student Research Presentation Award

Postgraduate Scholarship - Doctoral (declined)

Arts & Science Doctoral Excellence Scholarship

Doctoral Award

Postdoctoral Fellowship

Discovery Grant

portfolio

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Short description of portfolio item number 1

Portfolio item number 2

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publications

Rank-based estimation under asymptotic dependence and independence, with applications to spatial extremes

With S. Engelke and S. Volgushev.
Annals of Statistics 49(5), 2552-2576 (arXiv, published, supplement)

This paper provides theoretical tools and a new methodology to fit flexible bivariate and spatial tail dependence models that include both asymptotic dependence and independence.

A new family of smooth copulas with arbitrarily irregular densities

With R. Zimmerman.
In submission, 2022+ (arXiv)

In this paper, we construct a class of copulas that have densities and uniformly bounded high order partial derivatives, but whose densities can be arbitrarily irregular. In particular, we identify a copula density that is finite but nowhere bounded.

On pairwise interaction multivariate Pareto models

Stat 12(1) (arXiv, published)

It is shown that no multivariate Pareto model, other than the Hüsler–Reiss family, can have the structure of a pairwise interaction model.

Learning extremal graphical structures in high dimensions

With S. Engelke and S. Volgushev.
In submission, 2025+ (arXiv)

This paper proposes a methodology that provably learns extremal graphical models in settings where the dimension is allowed to grow exponentially in the effective sample size. Along the way, we prove a sub-exponential concentration inequality for the empirical version of the extremal variogram, an object of intrest in multivariate and high-dimensional extreme value theory.

Graphical models for multivariate extremes

With S. Engelke, M. Hentschel and F. Röttger.
To appear in Handbook on Statistics of Extremes, 2025+ (arXiv)

This chapter will appear in the upcoming Handbook on Statistics of Extremes. It reviews various recent developments concerning undirected and directed graphical models for extreme values.

talks

Convergence of a Random Walk Metropolis Algorithm for Bimodal Target Distribution

Based on my MSc thesis, joint work with Mylène Bédard. See the slides.

Rank-based M-Estimation for Tail Dependence and Independence

Based on joint work with Sebastian Engelke and Stanislav Volgushev. See the original poster.

Rank-based M-Estimation for Tail Dependence and Independence

Based on joint work with Sebastian Engelke and Stanislav Volgushev. See the original slides, or a more recent (and better) set of slides on the same topic.

La Théorie des Valeurs Extrêmes

See the slides.

Rank-based Estimation under Asymptotic Dependence and Independence, with Applications to Spatial Extremes

Based on joint work with Sebastian Engelke and Stanislav Volgushev. See the slides.

Rank-based Estimation under Asymptotic Dependence and Independence, with Applications to Spatial Extremes

Based on joint work with Sebastian Engelke and Stanislav Volgushev. See the slides.

Concentration and asymptotic normality of the empirical variogram, with application to structure learning

Based on joint work with Sebastian Engelke and Stanislav Volgushev. See the slides.

The extremal graphical lasso

Based on joint work with Sebastian Engelke and Stanislav Volgushev.

The extremal graphical lasso

Based on joint work with Sebastian Engelke and Stanislav Volgushev.

Learning extremal graphical structures in high dimensions

Based on joint work with Sebastian Engelke and Stanislav Volgushev. See the slides.

Learning extremal graphical structures in high dimensions

Based on joint work with Sebastian Engelke and Stanislav Volgushev. See the slides.

Learning extremal graphical structures in high dimensions

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Based on joint work with Sebastian Engelke and Stanislav Volgushev.

Estimation of bivariate and spatial tail models under asymptotic dependence and independence

Based on joint work with Sebastian Engelke and Stanislav Volgushev.

Learning extremal graphical structures in high dimensions

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Based on joint work with Sebastian Engelke and Stanislav Volgushev.

Learning extremal graphical structures in high dimensions

Based on joint work with Sebastian Engelke and Stanislav Volgushev.

Learning extremal graphical structures in high dimensions

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Based on joint work with Sebastian Engelke and Stanislav Volgushev.

The empirical copula process on classes of non-rectangular sets

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Based on joint work with Axel Bücher, Johan Segers and Stanislav Volgushev.

Apprentissage de modèles graphiques extrémaux en grande dimension

Based on joint work with Sebastian Engelke and Stanislav Volgushev.

Apprentissage de modèles graphiques extrémaux en grande dimension

Based on joint work with Sebastian Engelke and Stanislav Volgushev.

Learning extremal graphical structures in high dimensions

Based on joint work with Sebastian Engelke and Stanislav Volgushev.

Rank-based estimation under asymptotic dependence and independence, with applications to spatial extremes

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Based on joint work with Sebastian Engelke and Stanislav Volgushev.

Le processus empirique de copule sur des ensembles non rectangulaires

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Based on joint work with Axel Bücher, Johan Segers and Stanislav Volgushev.

Le processus empirique de copule sur des ensembles non rectangulaires

Based on joint work with Axel Bücher, Johan Segers and Stanislav Volgushev.

Le processus empirique de copule sur des ensembles non rectangulaires

Based on joint work with Axel Bücher, Johan Segers and Stanislav Volgushev.

On pairwise interaction multivariate Pareto models and score matching

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Based on joint work with Frank Röttger.

Le processus empirique de copule sur des ensembles non rectangulaires

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Based on joint work with Axel Bücher, Johan Segers and Stanislav Volgushev.

The empirical copula process on classes of non-rectangular sets

Based on joint work with Axel Bücher, Johan Segers and Stanislav Volgushev.

Extremal latent tree models (tentative title)

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Based on joint work with Galiane Charbonneau.

The empirical copula process on classes of non-rectangular sets

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Based on joint work with Axel Bücher, Johan Segers and Stanislav Volgushev.

teaching

Bayesian Decision Theory

Probability with Computer Applications