1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.AP2023★ 1 cited
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…
stat.AP2023
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…
stat.AP2023
A Continuous-Time Stochastic Process for High-Resolution Network Data in Sports
Nicholas Grieshop, Yong Feng, Guanyu Hu +1
Technological advances have paved the way for collecting high-resolution network data in basketball, football, and other team-based sports. Such data consist of interactions among…