fonnesbeck / hierarchical_models_sports_analytics
Developing Hierarchical Models for Sports Analytics
☆18Updated last month
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
- Presentation materials for PyMC Statespace☆16Updated 7 months ago
- Powerful add-ons for PyMC☆98Updated last week
- ☆11Updated 4 months ago
- Repository containing the code of the projects presented in my personal website.☆41Updated this week
- ☆106Updated this week
- Pydata talk - Football Analytics Using Hierarchical Bayesian Models in PyMC☆26Updated 3 years ago
- A system for Bayesian estimation of state space models using PyMC☆33Updated last year
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆51Updated 4 months ago
- Educational resources☆104Updated 3 years ago
- Exploring and eliciting probability distributions☆128Updated this week
- Figures and code examples from Bayesian Analysis with Python (third edition)☆184Updated 2 months ago
- Bayesian Conjugate Models in Python☆25Updated this week
- Wrapper around MLForecast for more plug and play forecasting☆10Updated last year
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Updated 2 years ago
- Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Ret…☆72Updated last year
- Python implementation for Bellman Conformal Inference algorithm for time series forecasting.☆21Updated last year
- Methods and tools for multistep-ahead time series conformal prediction.☆33Updated 2 weeks ago
- Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting☆26Updated 2 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆52Updated 3 years ago
- Forecasting 🇫🇷 elections with Bayesian statistics 🥳☆42Updated 2 years ago
- Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling☆58Updated 6 years ago
- A Library for Conformal Hyperparameter Tuning☆29Updated this week
- This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…☆19Updated 11 months ago
- Inference of relative ability from winning probabilities☆44Updated last month
- Self-tuning HMC algorithms and evaluations☆18Updated 5 months ago
- Repository for the book Machine Learning Learning Beyond Point Predictions: Uncertainty Quantification, by Rafael Izbicki.☆24Updated last month
- ☆12Updated 4 years ago
- Conformal Anomaly Detection☆45Updated 3 weeks ago
- A collection of tools for working with DSGE models in python, inspired by the R package gEcon☆29Updated 2 weeks ago
- Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.☆150Updated 9 months ago