44 citations · 77 across the 16 of their papers we have counts for
3 papers · 1 filter
Spatio-Temporal Models for Big Multinomial Data using the Conditional Multivariate Logit-Beta Distribution
Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan
We introduce a Bayesian approach for analyzing high-dimensional multinomial data that are referenced over space and time. In particular, the proportions associated with multinomial…
A Hierarchical Spatio-Temporal Statistical Model Motivated by Glaciology
Giri Gopalan, Birgir Hrafnkelsson, Christopher K. Wikle +4
In this paper, we extend and analyze a Bayesian hierarchical spatio-temporal model for physical systems. A novelty is to model the discrepancy between the output of a computer simu…
Deep Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting
Patrick L. McDermott, Christopher K. Wikle
Long-lead forecasting for spatio-temporal systems can often entail complex nonlinear dynamics that are difficult to specify it a priori. Current statistical methodologies for model…