resample
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scikit-hep
Randomization-based inference in Python
As mentioned in #34, we need a way to allow computation from pre-calculated replicates. My original idea was to reuse the existing interface to do this, but documentation and argument...
The jackknife-after-bootstrap method, as described in Efron and Tibshirani's book, is a clever way to compute an uncertainty for a bootstrap estimate, without computing additional replicas. It needs a bit...
I worked out how to iterate the permutation tests until a precision target is reached. It would be great to implement such a functionality also for the functions - `bootstrap.bias`...
One of the first questions I got after the presentation on resample at PyHEP was about parallelization. In principle, resampling methods are perfectly parallelizable, assuming that `fn` is pure (has...
I started to use the library in practice and I found a caveat of our current design. Let's say I want to compute a bias correction *and* the variance of...
updates: - [github.com/pre-commit/pre-commit-hooks: v4.5.0 → v4.6.0](https://github.com/pre-commit/pre-commit-hooks/compare/v4.5.0...v4.6.0) - [github.com/astral-sh/ruff-pre-commit: v0.2.0 → v0.3.5](https://github.com/astral-sh/ruff-pre-commit/compare/v0.2.0...v0.3.5) - [github.com/psf/black-pre-commit-mirror: 24.1.1 → 24.3.0](https://github.com/psf/black-pre-commit-mirror/compare/24.1.1...24.3.0) - [github.com/pre-commit/mirrors-mypy: v1.8.0 → v1.9.0](https://github.com/pre-commit/mirrors-mypy/compare/v1.8.0...v1.9.0)
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updates: - [github.com/astral-sh/ruff-pre-commit: v0.4.5 → v0.5.1](https://github.com/astral-sh/ruff-pre-commit/compare/v0.4.5...v0.5.1) - [github.com/pre-commit/mirrors-mypy: v1.10.0 → v1.10.1](https://github.com/pre-commit/mirrors-mypy/compare/v1.10.0...v1.10.1)