2 citations · 2 across the 3 of their papers we have counts for
5 papers · 1 filter
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…
Bayesian spatial extreme value analysis of maximum temperatures in County Dublin, Ireland
John O'Sullivan, Conor Sweeney, Andrew C. Parnell
In this study, we begin a comprehensive characterisation of temperature extremes in Ireland for the period 1981-2010. We produce return levels of anomalies of daily maximum tempera…
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…
Bayesian Stable Isotope Mixing Models
Andrew C. Parnell, Donald L. Phillips, Stuart Bearhop +5
In this paper we review recent advances in Stable Isotope Mixing Models (SIMMs) and place them into an over-arching Bayesian statistical framework which allows for several useful e…