Is Hierarchical Bayesian Modelling used in industry?

• trimmed_match

  1 55 2.7 Python

  This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.

  

Trimmed Match - paper, python package

• GeoexperimentsResearch

  1 106 10.0 R

  Discontinued An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google product.

  

Time Based Regression - paper, R library

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• matched_markets

  1 60 0.0 Python

  Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.

  

Time Based Regression with Matched Markets - paper, python package

• mta

  3 91 0.0 Python

  Multi-Touch Attribution

Python library of a bunch of attribution models

• Robyn

  14 1,035 9.1 Jupyter Notebook

  Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community. (by facebookexperimental)

  

Robyn - R Library

• lightweight_mmm

  5 785 5.5 Python

  LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

  

LightweightMMM - python package

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