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Add statistical algorithms with finite-domain and exact-arithmetic tests - #4
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September 25, 2026 06:43
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Add eight statistical algorithms suitable for the project's data-science learning catalog: type-7 quantiles, exact weighted medians, Shannon entropy, Jensen-Shannon divergence, stable softmax, exact isotonic regression, Kendall tau-b, and one-pass covariance.
Document finite numeric domains, empty/constant-input errors, floating-point limits, and runnable examples. Tests use standard-library statistics, enumerated optimal partitions, expanded weighted samples, probability identities, and extreme-value regressions. The catalog advances from 148 to 156 algorithms.
Validation: all 302 tests pass; every doctest, Ruff lint, and formatting check passes locally. No runtime dependency is added.