24 citations · 48 across the 11 of their papers we have counts for
4 papers · 1 filter
Logistic regression models for aggregated data
Tom Whitaker, Boris Beranger, Scott A. Sisson
Logistic regression models are a popular and effective method to predict the probability of categorical response data. However inference for these models can become computationally…
Composite likelihood methods for histogram-valued random variables
Thomas Whitaker, Boris Beranger, Scott A. Sisson
Symbolic data analysis has been proposed as a technique for summarising large and complex datasets into a much smaller and tractable number of distributions -- such as random recta…
High-dimensional inference using the extremal skew- process
B. Beranger, A. G. Stephenson, S. A. Sisson
Max-stable processes are a popular tool for the study of environmental extremes, and the extremal skew- process is a general model that allows for a flexible extremal dependence…
Estimation and uncertainty quantification for extreme quantile regions
Boris Beranger, Simone A. Padoan, Scott A. Sisson
Estimation of extreme quantile regions, spaces in which future extreme events can occur with a given low probability, even beyond the range of the observed data, is an important ta…