4 papers
A Scalable Bayesian Spatiotemporal Model for Water Level Predictions using a Nearest Neighbor Gaussian Process Approach
Victor Hugo Nagahama, James Sweeney, Niamh Cahill
Obtaining accurate water level predictions are essential for water resource management and implementing flood mitigation strategies. Several data-driven models can be found in the…
Using Time Series Measures to Explore Family Planning Survey Data and Model-based Estimates
Oluwayomi Akinfenwa, Niamh Cahill, Catherine Hurley
Family planning is a global development priority and a key indicator of reproductive health. Monitoring progress is challenged by gaps in survey data across countries. The United N…
wdiexplorer: An R package Designed for Exploratory Analysis of World Development Indicators (WDI) Data
Oluwayomi Akinfenwa, Niamh Cahill, Catherine Hurley
The World Development Indicators (WDI) database provides a wide range of global development data, maintained and published by the World Bank. Our \textit{wdiexplorer} package offer…
Visualisation for Exploratory Modelling Analysis of Bayesian Hierarchical Models
Oluwayomi Akinfenwa, Niamh Cahill, Catherine Hurley
When developing Bayesian hierarchical models, selecting the most appropriate hierarchical structure can be a challenging task, and visualisation remains an underutilised tool in th…