134 citations · 369 across the 19 of their papers we have counts for
20 papers
An information theoretic approach to quantify the stability of feature selection and ranking algorithms
Alaiz-Rodriguez, R., Parnell +1
Feature selection is a key step when dealing with high dimensional data. In particular, these techniques simplify the process of knowledge discovery from the data by selecting the…
reslr: An R package for relative sea level modelling
Maeve Upton, Andrew Parnell, Niamh Cahill
We present reslr, an R package to perform Bayesian modelling of relative sea level data. We include a variety of different statistical models previously proposed in the literature,…
simmr: A package for fitting Stable Isotope Mixing Models in R
Emma Govan, Andrew L. Jackson, Richard Inger +2
We introduce an R package for fitting Stable Isotope Mixing Models (SIMMs) via both Markov chain Monte Carlo and Variational Bayes. The package is mainly used for estimating dietar…
Vector Time Series Modelling of Turbidity in Dublin Bay
Amin Shoari Nejad, Gerard D. McCarthy, Brian Kelleher +2
Turbidity is commonly monitored as an important water quality index. Human activities, such as dredging and dumping operations, can disrupt turbidity levels and should be monitored…
A Bayesian Hierarchical Time Series Model for Reconstructing Hydroclimate from Multiple Proxies
Niamh Cahill, Jacky Croke, Micheline Campbell +4
We propose a Bayesian hierarchical model which produces probabilistic reconstructions of hydroclimatic variability in Queensland Australia. The model provides a standardised approa…
Modelling excess zeros in count data: A new perspective on modelling approaches
John Haslett, Andrew C. Parnell, John Hinde +1
We consider the analysis of count data in which the observed frequency of zero counts is unusually large, typically with respect to the Poisson distribution. We focus on two altern…