Modeling Spatio-Temporal Data: Markov Random Fields, Objective Bayes, and Multiscale Models

Bayesian Modeling of Spatio-Temporal Data with R (Chapman & Hall/CRC Interdisciplinary Statistics)

On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory (Springer Theses)

Evolving Probabilistic Spiking Neural Networks: Modelling and Pattern Recognition of Spatio-temporal Brain Data (EEG)

Spatio-Temporal Abnormality Diagnosis for Industrial Distributed Parameter Systems: Model-Based and Data-Driven Perspectives