Bayesian Analysis with Python (Second Edition)
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Updated
Aug 29, 2023 - Jupyter Notebook
Bayesian Analysis with Python (Second Edition)
A batteries-included template for Bayesian data analysis projects
A sphinx primer for ArviZ and PyMC contributors
Simulating the detection of millihertz (mHz) gravitational waves (GWs) from astrophysical sources by a Storage Ring Gravitational-wave Observatory (SRGO).
Probabilistic programming, Bayesian Thinking, Bayesian Data Analysis and Applications
Github repo for Bayesian applications in real-world problems. Please visit the webpage:
Core tools for use on client projects
Library of voice-triggered code snippets for arviz using Voice In Jupyter Notebooks
Pi Day with PyLadies || How to Contribute to Open Source Projects & Networking @ Verizon Digital Media Services
Modeling a 1-armed bandit with pystan.
Production-grade Bayesian A/B testing framework with interactive Streamlit dashboard. Built with PyMC, ArviZ for analyzing mobile game experiments (Cookie Cats dataset).
Hierarchical Bayesian evaluation of LLM/VLM outputs — posterior credible intervals & partial pooling over any eval's item-level scores (Bambi/PyMC).
Reproducible Bayesian hierarchical evidence synthesis of mortality outcomes across beta-blocker trials, with heterogeneity assessment, prior sensitivity, posterior diagnostics, and partial pooling.
Statistical analysis of putting data using cookiecutter-cmdstanpy-analysis.
Complete Bayesian statistics course with modules, labs, assignments, datasets, and GitHub Pages site.
BaPPI is a Bayesian inference engine that simulates and analyses real estate data to determine whether property prices are driven by owners or external agents, using hierarchical modelling and probabilistic model comparison.
Bayesian group comparison models using Gaussian and Gamma likelihoods with hierarchical partial pooling in PyMC.
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