96 citations · 176 across the 7 of their papers we have counts for
7 papers
Diagnostics for categorical response models based on quantile residuals and distance measures
Patrícia Peres Araripe, Idemauro Antonio Rodrigues de Lara, Gabriel Rodrigues Palma +2
Polytomous categorical data are frequent in studies, that can be obtained with an individual or grouped structure. In both structures, the generalized logit model is commonly used…
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,…
A noisy-input generalised additive model for relative sea-level change along the Atlantic coast of North America
Maeve Upton, Andrew Parnell, Andrew Kemp +3
We propose a Bayesian, noisy-input, spatial-temporal generalised additive model to examine regional relative sea-level (RSL) changes over time. The model provides probabilistic est…
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…
Statistical modeling of rates and trends in Holocene relative sea level
Erica L. Ashe, Niamh Cahill, Carling Hay +6
Characterizing the spatio-temporal variability of relative sea level (RSL) and estimating local, regional, and global RSL trends requires statistical analysis of RSL data. Formal s…
A Bayesian Hierarchical Model for Reconstructing Sea Levels: From Raw Data to Rates of Change
Niamh Cahill, Andrew C. Kemp, Benjamin P. Horton +1
We present a holistic Bayesian hierarchical model for reconstructing the continuous and dynamic evolution of relative sea-level (RSL) change with fully quantified uncertainty. The…
Modeling sea-level change using errors-in-variables integrated Gaussian processes
Niamh Cahill, Andrew C. Kemp, Benjamin P. Horton +1
We perform Bayesian inference on historical and late Holocene (last 2000 years) rates of sea-level change. The input data to our model are tide-gauge measurements and proxy reconst…