Variable Selection Using Nearest Neighbor Gaussian Processes

Konstantin Posch, Maximilian Arbeiter, Christian Truden +2

We introduce a novel Bayesian approach for variable selection using Gaussian process regression, which is crucial for enhancing interpretability and model regularization. Our metho…