User Guides

In-depth treatments of the bootstrap methods in this library, each worked through on a concrete example. The first five guides cover the core inferential machinery on small datasets from [ET93]; the remaining guides describe specialized recipes — the zero-inflated bootstrap for severely zero-inflated data, and a resampling-free recipe for bootstrap quantile inference at web scale. The guides are self-contained and may be read in any order.

• Standard Errors
• Confidence Intervals
• Prediction Intervals
• Bias
• Significance Tests
• Zero-Inflated Bootstrap
• Bootstrap Quantiles at Scale