Bootstrapping is a widely applicable technique for statistical estimation.
Features
- Bootstrapping statistics with different resampling methods
- Random resampling with replacement (BasicSampling)
- Antithetic resampling, introducing negative correlation between samples (AntitheticSampling)
- Balanced random resampling, reducing bias (BalancedSampling)
- Resampling of residuals in generalized linear models (ResidualSampling, WildSampling)
- Examples available
License
MIT LicenseFollow Bootstrap.jl
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