Elicitation is the process of extracting expert knowledge about some unknown quantity or
quantities, and formulating that information as a probability distribution. Elicitation is …

Statistical issues arising in modelling univariate extremes of a random sample have been
successfully used in the most diverse fields, such as biometrics, finance, insurance and risk …

Extreme value theory is unique as a statistical discipline in that it develops techniques and
models for describing the unusual rather than the usual. As an abstract study of random …

While there have been few theoretical contributions on the Markov Chain Monte Carlo
(MCMC) methods in the past decade, current understanding and application of MCMC to the …

This important book provides an up-to-date comprehensive and down-to-earth survey of the
theory and practice of extreme value distributions? one of the most prominent success …

The statistics of extremes have played an important role in engineering practice for water
resources design and management. How recent developments in the statistical theory of …

Quantifying dependence is a central theme in probabilistic and statistical methods for
multivariate extreme values. Two situations are possible: one where, in a limiting sense, the …

Quantification of precipitation extremes is important for flood planning purposes, and a
common measure of extreme events is the r-year return level. We present a method for …

Specification of the prior distribution for a Bayesian model is a central part of the Bayesian
workflow for data analysis, but it is often difficult even for statistical experts. In principle, prior …

This paper surveys flood mapping and modelling in Nigeria in regard to frequency and
impact of floods in the last decade. The aim is to understand the frequency and patterns of …