Statistical-Inference

Implementations of modern statistical methods from classical and frequentist theory in Python.

This repository showcases clean, practical implementations of statistical techniques — from foundational methods to real-world applications.

Topics

statistics, statistical-inference, frequentist-statistics, bootstrap, empirical-bayes, james-stein, hypothesis-testing, survival-analysis, lasso, shrinkage, machine-learning, pycaret

Repository Structure

Statistical-Inference/
├── src/                          # Core reusable modules
│   ├── bootstrap.py
│   ├── hypothesis_testing.py
│   ├── empirical_bayes.py
│   ├── shrinkage.py
│   ├── lasso.py
│   └── survival.py
├── examples/                     # Real-world case studies
│   ├── RKZ_Regulierungsstatistik/      # Hierarchical KPI scoring
│   ├── Cross_Selling_BamS/             # ML cross-selling prediction
│   ├── Hypothesis_Testing/
│   ├── Weekend_Users_Hypo_Test/
│   └── Weighted_Temperature/
├── notebooks/
│   ├── README.md
│   ├── 01_test_src_package.ipynb
│   └── 02_real_world_examples.ipynb
├── Automation_monthly_run/       # Automation scripts
├── README.md
├── requirements.txt
├── LICENSE
└── .gitignore