4 papers · 1 filter
Bayesian Inference for Spatial-Temporal Non-Gaussian Data Using Predictive Stacking
Soumyakanti Pan, Lu Zhang, Jonathan R. Bradley +1
Analysing non-Gaussian spatial-temporal data requires introducing spatial as well as temporal dependence in generalised linear models through the link function of an exponential fa…
Projected Bayesian Spatial Factor Models
Lu Zhang
Factor models balance flexibility, identifiability, and computational efficiency, with Bayesian spatial factor models particularly prone to identifiability challenges and scaling l…
Bayesian Geostatistics Using Predictive Stacking
Lu Zhang, Wenpin Tang, Sudipto Banerjee
We develop Bayesian predictive stacking for geostatistical models, where the primary inferential objective is to provide inference on the latent spatial random field and conduct sp…
Bayesian Modeling of Incompatible Spatial Data: A Case Study Involving Post-Adrian Storm Forest Damage Assessment
Lu Zhang, Andrew O. Finley, Arne Nothdurft +1
Modeling incompatible spatial data, i.e., data with different spatial resolutions, is a pervasive challenge in remote sensing data analysis. Typical approaches to addressing this c…