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.
引用格式
zhanchao huang (2026). Bootstrapped Adaptive Threshold Selection Algorithm (https://ww2.mathworks.cn/matlabcentral/fileexchange/73771-bootstrapped-adaptive-threshold-selection-algorithm), MATLAB Central File Exchange. 检索时间: .
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R2019b
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| 版本 | 已发布 | 发行说明 | |
|---|---|---|---|
| 1.0.0 |
