Statistics of extremes concerns inference for rare events. Often the events have never yet
been observed, and their probabilities must therefore be estimated by extrapolation of tail …

Changes in the Earth's climate have been increasingly observed. Assessing the likelihood
that each of these changes has been caused by human influence is important for decision …

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 …

Spatial modeling of rare events has obvious applications in the environmental sciences and
is crucial when assessing the effects of catastrophic events (such as heatwaves or …

The global mean surface temperature is rising and under climate change it is expected to
increase in the future. The changes are not uniform across the world and the impact …

The Brown-Resnick max-stable process has proven to be well suited for modeling extremes
of complex environmental processes, but in many applications its likelihood function is …

Changes in extreme weather may produce some of the largest societal impacts of
anthropogenic climate change. However, it is intrinsically difficult to estimate changes in …

Extreme sea levels are a significant threat to life, property, and the environment. These
threats are managed by coastal planers through the implementation of risk mitigation …

Gridded data products, for example interpolated daily measurements of precipitation from
weather stations, are commonly used as a convenient substitute for direct observations …

Heat waves take a major toll on human populations, with negative impacts on the economy,
agriculture, and human health. As a result, there is great interest in studying the changes …