1 citations · 1 across the 1 of their papers we have counts for
3 papers
stat.AP2025★ 1 cited
A Bayesian Ensemble Projection of Climate Change and Technological Impacts on Future Crop Yields
Dan Li, Vassili Kitsios, David Newth +1
This paper introduces a Bayesian hierarchical modeling framework within a fully probabilistic setting for crop yield estimation, model selection, and uncertainty forecasting under…
cs.LG2024
Bayesian Vector AutoRegression with Factorised Granger-Causal Graphs
He Zhao, Vassili Kitsios, Terence J. O'Kane +1
We study the problem of automatically discovering Granger causal relations from observational multivariate time-series data.Vector autoregressive (VAR) models have been time-tested…
cs.LG2024
Permutation-based Inference for Variational Learning of Directed Acyclic Graphs
Edwin V. Bonilla, Pantelis Elinas, He Zhao +3
Estimating the structure of Bayesian networks as directed acyclic graphs (DAGs) from observational data is a fundamental challenge, particularly in causal discovery. Bayesian appro…