PSTAT 227
Bootstrap and Resampling Methodology
Resampling methods: bootstrap and subsampling. Topics: parametric and nonparametric bootstrap simulation; confidence limit methods; resample significance tests, including Monte Carlo and bootstrap; resampling for improved regression model selection and prediction; diagnostics for bootstrap validity.
Topics
- parametric and nonparametric bootstrap simulation
- confidence limit methods
- resample significance tests
- including Monte Carlo and bootstrap
- resampling for improved regression model selection and prediction
- diagnostics for bootstrap validity
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027