39 citations · 52 across the 5 of their papers we have counts for
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stat.CO2021★ 1 cited
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…
stat.CO2019
A novel Bayesian approach for variable selection in linear regression models
Konstantin Posch, Maximilian Arbeiter, Jürgen Pilz
We propose a novel Bayesian approach to the problem of variable selection in multiple linear regression models. In particular, we present a hierarchical setting which allows for di…