statistical-testing

There are 52 repositories under statistical-testing topic.

  • jchristopherson/fstats

    A modern Fortran statistical library.

    Language:Fortran15352

  • sebastian-mutz/fsml

    Fortran Statistics and Machine Learning Library

    Language:Fortran131

  • BorgwardtLab/SiNIMin

    Significant Network Interval Mining

    Language:C++6101

  • gulabpatel/Statistics

    Language:Jupyter Notebook410

  • shishir349/Customer-Base-Analysis

    Customer base analysis is concerned with using the observed past purchase behavior of customers to understand their current and likely future purchase patterns. More specifically, as developed in Schmittlein et al. (1987), customer base analysis uses data on the frequency, timing, and dollar value of each customer's past purchases

    Language:Jupyter Notebook4104

  • pkyriakou/RL-reward-experiments

    This repository is a fork of a repository originally created by Lucas Descause. It is the codebase used for my Master's dissertation "Reinforcement Learning with Function Approximation in Continuing Tasks: Discounted Return or Average Reward?" which was also an extension of Luca's work.

    Language:Jupyter Notebook2000

  • pwilmart/Yeast_CarbonSources

    Yeast TMT data - 3 different carbon sources (from Gygi lab) analyzed with PAW pipeline and MaxQuant

    Language:Jupyter Notebook200

  • SingleRust/single-algebra

    Language:Rust2100

  • slfagrouche/Real-Estate-Market-Analysis

    Analysis of 2.2 million Realtor.com listings using Python and machine learning to uncover U.S. real estate market patterns. The project identifies market segments, predicts property prices, and reveals regional trends, providing data-driven insights for real estate professionals and investors.

    Language:Jupyter Notebook2

  • andrewsatyo9/ab_testing_project

    A/B Testing Analysis on Marketing Campaigns

    Language:Python1

  • Cbhihe/Multivariate-analysis

    Multivariate analysis (MVA) of high dimensional heterogeneous data

    Language:R1100

  • chriskyfung/matlab-betatest

    MATLAB functions for Beta distribution test

    Language:MATLAB110

  • dcousin3/ANOPA

    Analysis of proportions using Anscombe transform

    Language:R1100

  • Deanw123outlook/Statistical-Data-Modeling-Testing-Repository

    This repository will include Python | Jupyter-Notebook statistical testing | tests and analysis. Highly useful for in depth data analysis & model development.

    Language:Jupyter Notebook110

  • jcm-ai/Quantium-Data-Analytics-Virtual-Experience-Program

    This repository contains all about the proposed solutions to the assignments that I was required to complete as part of the Quantium Data Analytics Virtual Experience Program. 📊📈📉👨‍💻

    Language:Jupyter Notebook1101

  • lieblm/thanksgiving-alpha

    Quantitative research tool analyzing stock performance around US Thanksgiving. 354 stocks, 8,293 observations (2000-2024). Statistical significance testing included.

    Language:Python1

  • maxxhvo/Modelling_Climate_Change_Via_Indicators

    Statistical Modelling and Data Visualization of a Climate Change Dataset (January 1984 to December 2008 ) Sourced from Kaggle

    Language:HTML1100

  • North-Shore-AI/crucible_harness

    Experimental research framework for running AI benchmarks at scale

    Language:Elixir1

  • pwilmart/Z-score_GUI

    GUI app for doing sliding window Z-score transformations of quantitative proteomics data

    Language:Python110

  • sankeshyadav98/Quantium-Data-Analytics

    Quantium has had a data partnership with a supermarket brand for the last few years that provide transactional and customer data. You are an analyst within the Quantium analytics team and are responsible for delivering highly valued data analytics and insights to help the business make strategic decisions.

    Language:Jupyter Notebook1100

  • chirindaopensource/search_benford_law_compatibility

    End-to-End Python scalable forensic accounting toolkit implementing Benford's Law analysis for FTSE financial data. Delivers automated anomaly detection with Chi-Squared/MAD testing, comprehensive validation pipelines, and risk-based prioritization of investigative resources. Replicates Ausloos et al.'s (2025) methodology with full reproducibility.

    Language:Jupyter Notebook

  • gaja-123/Superstore-Dataset-Analysis

    Analytical workflow for Superstore Business Insights: identifies key profitability drivers via statistical tests and quantile regression. Includes data cleaning, hypothesis testing, model checks, and actionable recommendations from SampleSuperstoreClean.csv.

    Language:Jupyter Notebook

  • North-Shore-AI/crucible_adversary

    Adversarial testing and robustness evaluation for the Crucible framework

    Language:Elixir

  • North-Shore-AI/crucible_bench

    Statistical testing and analysis framework for AI research

    Language:Elixir

  • North-Shore-AI/crucible_datasets

    Dataset management and caching for AI research benchmarks

    Language:Elixir

  • North-Shore-AI/crucible_ensemble

    Multi-model ensemble voting strategies for LLM reliability

    Language:Elixir

  • North-Shore-AI/crucible_examples

    Interactive Phoenix LiveView demonstrations of the Crucible Framework - showcasing ensemble voting, request hedging, statistical analysis, and more with mock LLMs

    Language:Elixir

  • North-Shore-AI/crucible_framework

    CrucibleFramework: A scientific platform for LLM reliability research on the BEAM

    Language:Elixir

  • North-Shore-AI/crucible_hedging

    Request hedging for tail latency reduction in distributed systems

    Language:Elixir

  • North-Shore-AI/crucible_telemetry

    Advanced telemetry collection and analysis for AI research

    Language:Elixir

  • North-Shore-AI/crucible_trace

    Structured causal reasoning chain logging for LLM transparency

    Language:Elixir

  • North-Shore-AI/crucible_xai

    Explainable AI (XAI) tools for the Crucible framework

    Language:Elixir

  • North-Shore-AI/ExDataCheck

    Data validation and quality library for ML pipelines in Elixir

    Language:Elixir

  • North-Shore-AI/ExFairness

    Fairness and bias detection library for Elixir AI/ML systems

    Language:Elixir

  • North-Shore-AI/LlmGuard

    AI Firewall and guardrails for LLM-based Elixir applications

    Language:Elixir

  • ttyuja/search_benford_law_compatibility

    📊 Test financial data for conformity to Benford's Law using this scalable framework for reliable analysis and insights.

    Language:Jupyter Notebook