fonnesbeck / hierarchical_models_sports_analyticsLinks
Developing Hierarchical Models for Sports Analytics
☆21Updated 11 months ago
Alternatives and similar repositories for hierarchical_models_sports_analytics
Users that are interested in hierarchical_models_sports_analytics are comparing it to the libraries listed below
Sorting:
- Presentation materials for PyMC Statespace☆26Updated last year
- ☆12Updated 5 years ago
- MLflow logging for PyMC☆14Updated 4 months ago
- Figures and code examples from Bayesian Analysis with Python (third edition)☆232Updated 5 months ago
- Powerful add-ons for PyMC☆132Updated last week
- Porting an OpenBUGS/MATLAB-based Bayesian statistics course to Python/PyMC.☆32Updated 2 weeks ago
- Examples of PyMC models, including a library of Jupyter notebooks.☆363Updated last week
- ☆134Updated last week
- Inference of relative ability from winning probabilities☆48Updated 2 months ago
- Code and notebooks for my Medium blog posts☆131Updated last year
- This is the repository for the Python library mlsynth☆55Updated 3 weeks ago
- Quantile Regression Forests compatible with scikit-learn.☆251Updated last week
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆288Updated this week
- Using probabilistic programming to infer player ratings from matchup data.☆14Updated 5 years ago
- A system for Bayesian estimation of state space models using PyMC☆36Updated 6 months ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆57Updated 8 months ago
- Code for "Probabilistic forecasting of cross-sectional returns: A Bayesian dynamic factor model with heteroskedasticity"☆13Updated last year
- Repository for the book Machine Learning Learning Beyond Point Predictions: Uncertainty Quantification, by Rafael Izbicki.☆33Updated 6 months ago
- Unstructured Code with interesting analysis☆36Updated last year
- ☆139Updated last week
- Power analysis and AB test analysis library☆47Updated this week
- ☆34Updated last year
- Berlin Time Series Analysis Repository☆105Updated 2 years ago
- Bayesian Additive Regression Trees For Python☆231Updated 2 years ago
- Bayesian Conjugate Models in Python☆37Updated last week
- Synthetic difference in differences for Python☆87Updated last year
- Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.☆192Updated last year
- Exploring and eliciting probability distributions☆162Updated 3 weeks ago
- difference-in-differences in Python☆107Updated 2 years ago
- Explainable Boosted Scoring with Python: turning XGBoost, LightGBM, and CatBoost into explainable scorecards☆49Updated 3 weeks ago