  We present an Automatic Relevance Determination prior Bayesian Neural
Network(BNN-ARD) weight l2-norm measure as a feature importance statistic for
the model-x knockoff filter. We show on both simulated data and the Norwegian
wind farm dataset that the proposed feature importance statistic yields
statistically significant improvements relative to similar feature importance
measures in both variable selection power and predictive performance on a real
world dataset.
