About the Sharing category (1)
Hierarchical Bayesian Neural Networks with Informative Priors by @twiecki (3)
Intro Bayesian Regression using HMC & ADVI (1)
SKPro Prediction Package (2)
Introduction to PyMC3 video with example code (2)
Revisiting `eta` parameter in `LKJCholeskyCov` (1)
Nice intro/overview on Bayesian statistics (2)
Blog post running the emcee sampler on PyMC3 models (1)
"Bayesian Non-parametric Models for Data Science using PyMC3" - Chris Fonnesbeck, from PyCon 2018 (2)
"Bayesian Modelling Cookbook with PyMC3" - Tips and Tricks for Beginners (2)
Advance Bayesian Modelling with PyMC3 (9)
"Fighting Gerrymandering with PyMC3" - Karin Knudson and Colin Carroll, from PyCon 2018 (1)
Bayesian Optimal Pricing, Part 1 (1)
Tutorial on Frequentist/Bayesian statistical modelling (2)
Interesting serie for beginners (5)
There's Plenty of Room in the Corners (1)
Turn images into probability distributions (5)
Capture-Recapture Models in Python with PyMC3 (1)
Don't Use Metropolis (5)
PyMC3 learning resources (1)
Hierarchical logistic regression (5)
Bayesian Parametric Survival Analysis by Austin Rochford (1)
2016 Voter Turnout in NJ - blog post from (1)
Bayesian Time Varying Coefficients in PyMC3 by Ryan Barnes (1)
Introduction to Bayesian Analysis in Python by Peadar Coyle (1)
Probabilistic Programming in Quant Finance by Thomas Wiecki (1)
Subreddit for Bayesian Programming (1)
How NUTS evades the curse of dimensionality (3)
Riemannian Manifold HMC (1)
New book about Theano (and deep learning) (1)