CausalPy - causal inference for quasi-experiments

 2022-11-17

Solving Real-World Business Problems with Bayesian Modeling

 2022-10-31

Modeling spatial data with Gaussian processes in PyMC

 2022-08-17

Bayesian inference at scale: Running A/B tests with millions of observations

 2022-08-12

Bayesian Modeling in Biotech: Using PyMC to Analyze Agricultural Data

 2022-08-11

Bayesian Media Mix Models: Modelling changes in marketing effectiveness over time

 2022-07-19

NBA Foul Analysis with Item Response Theory using PyMC

 2022-07-15

What if? Causal inference through counterfactual reasoning in PyMC

 2022-07-13

PyMC, Aesara and AePPL: The New Kids on The Block

 2022-07-10

Bayesian Vector Autoregression in PyMC

 2022-06-24

MCMC sampling for dummies

 2022-06-15

Running PyMC in the Browser with PyScript

 2022-05-16

Building Time-Series Models With Known Data Structure

 2022-05-15

Stochastic Volatility Model with PyMC

 2022-01-15

My Journey Building PyMC Labs: Five Principles from Open Source that Boost Innovation at any Company

 2022-01-10

The Quickest Migration Guide Ever from PyMC3 to PyMC v4.0

 2022-01-03

MCMC for big datasets: faster sampling with JAX and the GPU

 2021-12-22

Bayes is slow? Speeding up HelloFresh's Bayesian AB tests by 60x

 2021-10-22

Improving the Speed and Accuracy of Bayesian Media Mix Models

 2021-09-21

Bayesian Media Mix Modeling for Marketing Optimization

 2021-09-17

Estimating a Candidate's Popularity over Time with Gaussian Processes

 2021-05-26

Bayesian model to infer private equity returns from capital in and outflows

 2021-02-25

Introducing PyMC Labs

 2021-02-18