Conformal Anomaly Detection & Change-Point Detection
A Python implementation of the "Controlling the False Discovery Rate via Knockoffs" paper from 2015, designed to provide tools for generating knockoff features and applying controlled variable selection techniques in high-dimensional data settings.
Unified Python framework for permutation-based statistical inference on brain connectivity networks (NBS, TFNBS, cNBS, NI-TFNBS, FBC-TFNBS, GLM, ComBat)
