Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Randomization-based inference in Python

MLstatkit is a comprehensive Python library designed to seamlessly integrate established statistical methods into machine learning projects.

Python package for permutation tests, for statistics and machine learning.

A MATLAB package for multivariate permutation testing and effect size measurement

An R/Bioconfuctor package for association analysis of genomic regions based on permutation tests

Machine learning tools for the analysis of systems serology data

Topological Learning for Brain Networks (Annals of Applied Statistics; MICCAI 2021)

'R6'-Based Flexible Framework for Permutation Tests

Tools for analyzing and quantifying effects of confounder variables on machine learning model predictions.

Statistical package for fast exact tests and simulations

Power Outage Data Analysis in USA

Permutation tests for MixedModels.jl

Permutation-Based FDR Point and Confidence Interval Estimation

Easy-to-use collection of statistical methods and techniques, all written in R 🗂

:a: :b: :copyright: An Implementation of the ABC permutation test using R and C++ for Computational Statistics course CM0527

Testing hypothesis and building Confidence Intervals

📈 Comprehensive stock price analysis, including preprocessing, clustering, correlation, and predictive modeling, to enhance investment insights and accuracy. 💡

Mathematical and statistical applications for HP Prime.

Code for our paper: "Adaptive Geo-Topological Independence Criterion".

Permutation testing in single cell analysis

Analysis code and Latex source of the manuscript describing the conditional permutation test of confounding bias in predictive modelling.

Permutation Test for Principal Components Analysis

Nonparametric analysis of 2020 US presidential elections.

Conducted a comprehensive exploratory data analysis (EDA) on an auto insurance dataset that I found from Kaggle. I performed a permutation test and generated data visualizations.

The aim of this project is to apply different permutation tests on different datasets alongside checking their accuracy and flaws. This project was part of my thesis under the supervision of Dr. Bahrak at the University of Tehran.

A statistical analysis of a mobile game A/B test (n=90k) using Bootstrapping and Permutation Tests. Proved that delaying the 'gate' to Level 40 significantly reduces player retention and engagement.

This is my senior project for my data science degree at Belmont University where I will be looking at the effect of the MLB Pitch Clock on pitcher's performance.

Permutation Enrichment Testing for Binary Data

🚀 Scale diffusion language models with RND1, an advanced 30B-parameter inference harness designed for efficient research and application in DLMs.