Bootstrapped Adaptive Threshold Selection Algorithm

Version 1.0.0 (3 KB) by zhanchao huang
Implementation of the bootstrapped adaptive threshold selection algorithm
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Updated 24 Dec 2019

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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.

Cite As

zhanchao huang (2024). Bootstrapped Adaptive Threshold Selection Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/73771-bootstrapped-adaptive-threshold-selection-algorithm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2019b
Compatible with any release
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Version Published Release Notes
1.0.0