A selective inference method produces valid p-values for interaction effects after a sparse additive model is fit to the same data, using external randomization and full-data statistics.
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Reluctant Interaction Inference after Additive Modeling
A selective inference method produces valid p-values for interaction effects after a sparse additive model is fit to the same data, using external randomization and full-data statistics.