16 citations · 28 across the 19 of their papers we have counts for
5 papers · 1 filter
Review of Clustering Methods for Functional Data
Mimi Zhang, Andrew Parnell
Functional data clustering is to identify heterogeneous morphological patterns in the continuous functions underlying the discrete measurements/observations. Application of functio…
Hierarchical Embedded Bayesian Additive Regression Trees
Bruna Wundervald, Andrew Parnell, Katarina Domijan
We propose a simple yet powerful extension of Bayesian Additive Regression Trees which we name Hierarchical Embedded BART (HE-BART). The model allows for random effects to be inclu…
GP-BART: a novel Bayesian additive regression trees approach using Gaussian processes
Mateus Maia, Keefe Murphy, Andrew C. Parnell
The Bayesian additive regression trees (BART) model is an ensemble method extensively and successfully used in regression tasks due to its consistently strong predictive performanc…
Inference for extreme spatial temperature events in a changing climate with application to Ireland
Dáire Healy, Jonathan Tawn, Peter Thorne +1
We investigate the changing nature of the frequency, magnitude and spatial extent of extreme temperatures in Ireland from 1931 to 2022. We develop an extreme value model that captu…
Bayesian Multi-Species N-Mixture Models for Unmarked Animal Communities
Niamh Mimnagh, Andrew Parnell, Estevao Prado +1
We propose an extension of the N-mixture model which allows for the estimation of both abundances of multiple species simultaneously and their inter-species correlations. We also p…