Scalable Bayesian Spatiotemporal Tensor Modeling for Censored and Missing Areal Data

Jose A. Ordoñez, Tsung-I Lin, Victor H. Lachos +1

We propose a new Bayesian approach for spatiotemporal areal data with censored and missing observations, where the response is represented as a tensor indexed by spatial units and…