BIOENGINEER

Bayesian network predicts dropout risk in continuing education learners

A new Bayesian network framework predicts dropout risk in online continuing education with 88.9 percent cross-validated ...
umass

Corwin Zigler: Bayesian Causal Inference with Uncertain Physical Process Interference

Abstract: Causal inference with spatial environmental data is often challenging due to the presence of interference: outcomes for observational units depend on some combination of local and non-local ...
Nature

Causal Inference Using Bayesian Networks articles from across Nature Portfolio

Scientific modeling faces a tradeoff between the interpretability of mechanistic theory and the predictive power of machine learning. While existing hybrid approaches have made progress by ...
BIOENGINEER

When Two Beeps Trick the Eye: EEG and Bayesian Models Decode a Classic Illusion

A new EEG and hierarchical Bayesian modeling study shows that task conditions dominate perceptual decisions in the ...
cordis.europa.eu

High-dimensional nonparametric Bayesian causal inference

The total amount of money invested in the project. The total cost includes EU contribution as well as other project costs not covered by EU funding. It is expressed in euros. Projects in the first ...