This paper considers general linear models for Gaussian geostatistical data with multi-dimensional separable correlation functions involving multiple parameters. We derive various objective priors, ...

Spatial generalized linear mixed models (SGLMMs) are popular models for spatial data with a non-Gaussian response. Binomial SGLMMs with logit or probit link functions are often used to model spatially ...

Optimal cue integration, Bayesian Causal Inference, spatial orienting, speech illusions and other key phenomena in audiovisual perception naturally emerge from the collective behavior of a population ...

BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge ...