21 citations · 72 across the 20 of their papers we have counts for
4 papers · 2 filters
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…
Multiclass classification of growth curves using random change points and heterogeneous random effects
Vincent Chin, Jarod Y. L. Lee, Louise M. Ryan +2
Faltering growth among children is a nutritional problem prevalent in low to medium income countries; it is generally defined as a slower rate of growth compared to a reference hea…
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…