… graph G = ( V , E ) with nodes V = {1, …, d} and edge set E, we say that Y is an extremal
graphical model … 2 introduces background on extreme value theory and graphical models that is …

… extremes are presented in a unified way through graphical models for exponent … extremal
graphical models on simple graph structures, and the parametric class of Hüsler–Reiss models …

… demonstrated the utility of graphical models for spatial and spatio-temporal extremes. In this
paper, we aim to model extreme events with multiple covariates using graphical models. Our …

… in the extreme value literature and our contribution is that we present other models and …
we need some introduction to extreme value theory and graphical models, limited to main …

… approach to modeling high-dimensional data by exploiting symmetries in the model
parameters. In this work, we introduce the notion of coloring for extremal graphical models on …

… graphical models to capture the highly structured dependencies among the parameters of
extreme-… of the resulting non-Gaussian graphical model. The computational complexity of the …

… Returning to multivariate extreme value models, we observe that there is a rich set of models
based on max-stable distributions and processes. Examples include the multivariate Pareto …

… the extreme events. We first briefly review Gaussian graphical models, and subsequently,
the special case of thin-membrane models. Next, we elaborate on generalized thin-membrane …

… recent approaches to graphical modeling in the fields of extreme value analysis and Lévy
processes. Our results for the corresponding undirected and directed graphical models lay the …

… In Section II, we present the proposed spatio-temporal model for extreme events. We …
MODELS In this section, we present the proposed spatio-temporal graphical model for extreme …