7 citations · 7 across the 3 of their papers we have counts for
3 papers
Variational Bayes Inference for Spatial Error Models with Missing Data
Anjana Wijayawardhana, David Gunawan, Thomas Suesse
The spatial error model (SEM) is a type of simultaneous autoregressive (SAR) model for analysing spatially correlated data. Markov chain Monte Carlo (MCMC) is one of the most widel…
A Marginal Maximum Likelihood Approach for Hierarchical Simultaneous Autoregressive Models with Missing Data
Anjana Wijayawardhana, Thomas Suesse, David Gunawan
Efficient estimation methods for simultaneous autoregressive (SAR) models with missing data in the response variable have been well-explored in the literature. A common practice is…
Capturing Multivariate Spatial Dependence: Model, Estimate and then Predict
Noel Cressie, Sandy Burden, Walter Davis +4
Physical processes rarely occur in isolation, rather they influence and interact with one another. Thus, there is great benefit in modeling potential dependence between both spatia…