A survey of recent developments in the theory and application of composite likelihood is
provided, building on the review paper of Varin (2008). A range of application areas …

Since many developments to the functional extreme value theory have been made during
the last decades, this paper reviews recent results on max-stable processes and covers a …

This article describes the extreme value analysis (EVA) R package extRemes version 2.0,
which is completely redesigned from previous versions. The functions primarily provide …

We review work on extreme events, their causes and consequences, by a group of
European and American researchers involved in a three-year project on these topics. The …

Abstract Genton et al.(2011) investigated the gain in efficiency when triplewise, rather than
pairwise, likelihood is used to fit the popular Smith max-stable model for spatial extremes …

This book presents a broad overview of statistical modeling of extreme events along with the
most recent methodologies and various applications. It brings together background material …

Accurate and reliable gridded data sets are important for analyzing extreme weather and
climate events. Specifically, these data sets should produce extreme value statistics that are …

The health consequences of climate variability and change are diverse, potentially affecting
the burden of a wide range of health outcomes, including illnesses and deaths related to …

In extreme value statistics, the peaks-over-threshold method is widely used. The method is
based on the generalized Pareto distribution characterizing probabilities of exceedances …

The goal is to use deep learning models to estimate parameters in statistical models when
standard likelihood estimation methods are computationally infeasible. For instance …