Bootstrapped Adaptive Threshold Selection Algorithm

Implementation of the bootstrapped adaptive threshold selection algorithm

Implementation of the bootstrapped adaptive threshold selection algorithm proposed in the paper "Bootstrapped Adaptive Threshold Selection for Statistical Model Selection and Estimation" by Kristofer Bouchard.

This algorithm produces sparse model without imposing prior distribution on the model parameters.

Two numerical examples are provided here to demonstrate the algorithm's feasibility and robustness.