98 citations · 274 across the 5 of their papers we have counts for
5 papers
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…
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…
Past and future sea-level rise along the coast of North Carolina, USA
Robert E. Kopp, Benjamin P. Horton, Andrew C. Kemp +1
We evaluate relative sea level (RSL) trajectories for North Carolina, USA, in the context of tide-gauge measurements and geological sea-level reconstructions spanning the last $\ma…
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…