Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

Conformal Anomaly Detection

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

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

Statistical inference of recent positive selection using IBD segments

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

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

NYU DS-GA 1020 Final Project

POSSA: Power simulation for sequential analyses and multiple hypotheses.

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

R package MHTmult: Multiple Hypotheses Testing for Multiple Families Structure

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

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