4 papers
Revisiting John Snow's Cholera Map: A Data Visualisation Case Study for Statistical Education
Niamh Mimnagh
Data visualisation is a fundamental tool in statistical analysis, enabling the identification of patterns and relationships that might otherwise remain hidden in raw data. One of t…
Predicting BVD Re-emergence in Irish Cattle From Highly Imbalanced Herd-Level Data Using Machine Learning Algorithms
Niamh Mimnagh, Andrew Parnell, Conor McAloon +7
Bovine Viral Diarrhoea (BVD) has been the focus of a successful eradication programme in Ireland, with the herd-level prevalence declining from 11.3% in 2013 to just 0.2% in 2023.…
A Bayesian Model to Estimate Abundance Based on Scarce Animal Vestige Data
Niamh Mimnagh, Iuri Ferreira, Luciano Verdade +1
We propose a modelling framework which allows for the estimation of abundances from trace counts. This indirect method of estimating abundance is attractive due to the relative aff…
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…