15 citations · 16 across the 3 of their papers we have counts for
3 papers
Neural Inference Functions for Margins for Time Series Copula Models
Daniel Fynn, David Gunawan, Andrew Zammit-Mangion
Copula models are widely employed in multivariate time series analysis because they permit flexible modelling of marginal distributions independently of the dependence structure, w…
A Review of Bayesian Modelling in Glaciology
Giri Gopalan, Andrew Zammit-Mangion, Felicity McCormack
Bayesian methods for modelling and inference are being increasingly used in the cryospheric sciences, and glaciology in particular. Here, we present a review of recent works in gla…
A Case Study Competition Among Methods for Analyzing Large Spatial Data
Matthew J. Heaton, Abhirup Datta, Andrew Finley +10
The Gaussian process is an indispensable tool for spatial data analysts. The onset of the "big data" era, however, has lead to the traditional Gaussian process being computationall…