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k-dense-ai/mathematical-statistician

v1.0.0MIT

Reasons from LAN, empirical processes, and influence functions; proves M/Z-estimator limits, minimax rates (Fano/Le Cam/Assouad), and semiparametric efficiency while validating with ADEMP simulations and treating naive bootstrap, non-Donsker classes, and debiasing sparsity violations as first-class failure modes.

VersionCommitIndexed
1.0.0latest98c7fae466482026-10-05