63 citations · 531 across the 74 of their papers we have counts for
4 papers · 2 filters
Ultrahigh Dimensional Variable Selection for Mapping Soil Carbon
Benjamin R. Fitzpatrick, David W. Lamb, Kerrie Mengersen
Modern soil mapping is characterised by the need to interpolate samples of geostatistical response observations and the availability of relatively large numbers of environmental ch…
Assessing Site Effects and Geographic Transferability when Interpolating Point Referenced Spatial Data: A Digital Soil Mapping Case Study
Benjamin R. Fitzpatrick, David W. Lamb, Kerrie Mengersen
When making inferences concerning the environment, ground truthed data will frequently be available as point referenced (geostatistical) observations that are clustered into multip…
Using history matching for prior choice
Xueou Wang, David J. Nott, C. C. Drovandi +2
It can be important in Bayesian analyses of complex models to construct informative prior distributions which reflect knowledge external to the data at hand. Nevertheless, how much…
Clustering action potential spikes: Insights on the use of overfitted finite mixture models and Dirichlet process mixture models
Zoé van Havre, Nicole White, Judith Rousseau +1
The modelling of action potentials from extracellular recordings, or spike sorting, is a rich area of neuroscience research in which latent variable models are often used. Two such…