Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

The MultipleTesting package offers common algorithms for p-value adjustment and combination and more…

Conformal Anomaly Detection

Solutions of applied exercises contained in "An Introduction to Statistical Learning with Applications in Python", by Tibshirani et al, edition 2023

This repository contains a collection of functions to evaluate investment strategies regarding multiple testing concerns.

A Shiny app for graphical multiplicity control

Repository for R and Python packages and reproduction codes in Weighted Conformalized Selection paper

A FDR controlling procedure based on hidden Markov random field (Biometrics-15 paper)

Fixed Sequence Multiple Testing Procedures

Methods in my PhD thesis

Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes

NYU DS-GA 1020 Final Project

Progressive permutation for a dynamic representation of the robustness of microbiome discoveries

POSSA: Power simulation for sequential analyses and multiple hypotheses.

This paper develops new methods to handle false positives in High-Throughput Screening experiments.

R package MHTmult: Multiple Hypotheses Testing for Multiple Families Structure

FDR-controlling multiple testing procedure with n screening stages for hypothesis with a family structure.

Exploring the utility of surface approximation using non-radial basis functions.

Python notebook on GtSt testing procedures on the LARS path. Code associated with the manuscript "Multiple Testing and Variable Selection along Least Angle Regression's path" (J.-M. Azaïs & Y. De Castro)