5 citations · 13 across the 9 of their papers we have counts for
3 papers · 1 filter
Bayesian Ensemble Echo State Networks for Enhancing Binary Stochastic Cellular Automata
Nicholas Grieshop, Christopher K. Wikle
Binary spatio-temporal data are common in many application areas. Such data can be considered from many perspectives, including via deterministic or stochastic cellular automata, w…
Data-Driven Modeling of Wildfire Spread with Stochastic Cellular Automata and Latent Spatio-Temporal Dynamics
Nicholas Grieshop, Christopher K. Wikle
We propose a Bayesian stochastic cellular automata modeling approach to model the spread of wildfires with uncertainty quantification. The model considers a dynamic neighborhood st…
Bayesian Spatial Change of Support for Count-Valued Survey Data
Jonathan R. Bradley, Christopher K. Wikle, Scott H. Holan
We introduce Bayesian spatial change of support methodology for count-valued survey data with known survey variances. Our proposed methodology is motivated by the American Communit…