1 citations · 1 across the 3 of their papers we have counts for
4 papers
GeoMix: A Bayesian Framework for Stratigraphic and Geotechnical Inference
Bradley Wakefield, Michael Bertolacci, David Gunawan +3
Accurate characterisation of subsea sediments is essential for engineering projects such as offshore wind farms, but the challenging environment and large spatial domains involved…
Neural posterior inference with state-space models for calibrating ice sheet simulators
Bao Anh Vu, Andrew Zammit-Mangion, David Gunawan +2
Ice sheet models are routinely used to quantify and project an ice sheet's contribution to sea level rise. In order for an ice sheet model to generate realistic projections, its pa…
Recursive variational Gaussian approximation with the Whittle likelihood for linear non-Gaussian state space models
Bao Anh Vu, David Gunawan, Andrew Zammit-Mangion
Parameter inference for linear and non-Gaussian state space models is challenging because the likelihood function contains an intractable integral over the latent state variables.…
R-VGAL: A Sequential Variational Bayes Algorithm for Generalised Linear Mixed Models
Bao Anh Vu, David Gunawan, Andrew Zammit-Mangion
Models with random effects, such as generalised linear mixed models (GLMMs), are often used for analysing clustered data. Parameter inference with these models is difficult because…