List: Causal Inference Experimentation Related | Curated by Lulu Yan

Jan 2, 2025

15 stories

Causal Inference Experimentation Related
In
TDS Archive
by
Phillip Wenig
Belief Propagation in Bayesian NetworksBayesian Network Inference
May 26, 2019
2
May 26, 2019
2
Dallin Stewart
Causal Inference with Graph Neural NetworksThis study advocates for deeper integration of causal inference into neural network research to foster more interpretable and reliable AI
May 21, 2024
May 21, 2024
In
CodeX
by
Felipe Sanchez Garzón
How to create AI Hybrid models models in python using CausalNex ? (A guide for Bayesian Networks)I explain how this python library can be used to model two different types of Bayesian network problems (one simple and one more complex)
Feb 23, 2022
1
Feb 23, 2022
1
Amit Singh
Bayesian network with Causal inference and Conformal predictionIf you are interested in decision science, you must have come across Bayes theorem. Literally that’s all you need to know in prior to…
Apr 15, 2022
2
Apr 15, 2022
2
In
TDS Archive
by
Joos K
Structural Equation ModelingA comprehensive overview of Structural Equation Modeling with a full walkthrough of an example using both R and Python
Jun 27, 2021
10
Jun 27, 2021
10
Lulu Yan
Resources for Causal Inference & CausalityMany of these introductory materials are FREE thanks to generosity of authors and community contributors
Feb 5, 2024
Feb 5, 2024
Lulu Yan
Quick-Start Resources of Causal Inference for Everyone (Continued)In February 2024, I compiled a list of mostly free resources for learning about causal inference here. However, when I shared the post with…
Dec 30, 2024
Dec 30, 2024
In
Data Science at Microsoft
by
Jane Huang
Causal inference (Part 2 of 3): Selecting algorithmsBy Jane Huang, Daniel Yehdego, and Siddharth Kumar
Nov 5, 2020
4
Nov 5, 2020
4
In
Data Science at Microsoft
by
Jane Huang
Causal inference (Part 3 of 3): Model validation and applicationsBy Jane Huang, Daniel Yehdego, Deepsha Menghani, Saurabh Kumar, and Siddharth Kumar
Nov 18, 2020
5
Nov 18, 2020
5
In
AH Technology
by
Patrick de Oude
When measuring causal impact can go horribly wrongDemystifying Simpson’s paradox by simulating a trend reversal using a causal Bayesian network
Aug 25, 2021
Aug 25, 2021
In
Data Science at Microsoft
by
Jane Huang
Causal inference (Part 1 of 3): Understanding the fundamentalsBy Jane Huang, Daniel Yehdego, Deepsha Menghani, Siddharth Kumar, Lisa Cohen, and Ryan Bouchard
Oct 22, 2020
7
Oct 22, 2020
7
In
Analytics Vidhya
by
Yuya Sugano
A World of Causal Inference with EconML by Microsoft ResearchAn intersection of statistical approach and machine learning technique helps causal inference for decision-making in policy and business.
Mar 23, 2020
Mar 23, 2020
In
Netflix TechBlog
by
Netflix Technology Blog
Sequential A/B Testing Keeps the World Streaming Netflix
Part 1: Continuous DataMichael Lindon, Chris Sanden, Vache Shirikian, Yanjun Liu, Minal Mishra, Martin Tingley
Feb 12, 2024
7
Feb 12, 2024
7
In
The Airbnb Tech Blog
by
Jenny Chen
How Airbnb Measures Future Value to Standardize TradeoffsThe propensity score matching model powering how we optimize for long-term decision-making
Jul 13, 2021
3
Jul 13, 2021
3
In
Netflix TechBlog
by
Netflix Technology Blog
A Survey of Causal Inference Applications at NetflixAt Netflix, we want to entertain the world through creating engaging content and helping members discover the titles they will love. Key to…
May 21, 2022
3
May 21, 2022
3

Causal Inference Experimentation Related

Belief Propagation in Bayesian Networks

Bayesian Network Inference

Causal Inference with Graph Neural Networks

This study advocates for deeper integration of causal inference into neural network research to foster more interpretable and reliable AI

How to create AI Hybrid models models in python using CausalNex ? (A guide for Bayesian Networks)

I explain how this python library can be used to model two different types of Bayesian network problems (one simple and one more complex)

Bayesian network with Causal inference and Conformal prediction

If you are interested in decision science, you must have come across Bayes theorem. Literally that’s all you need to know in prior to…

Structural Equation Modeling

A comprehensive overview of Structural Equation Modeling with a full walkthrough of an example using both R and Python

Resources for Causal Inference & Causality

Many of these introductory materials are FREE thanks to generosity of authors and community contributors

Quick-Start Resources of Causal Inference for Everyone (Continued)

In February 2024, I compiled a list of mostly free resources for learning about causal inference here. However, when I shared the post with…

Causal inference (Part 2 of 3): Selecting algorithms

By Jane Huang, Daniel Yehdego, and Siddharth Kumar

Causal inference (Part 3 of 3): Model validation and applications

By Jane Huang, Daniel Yehdego, Deepsha Menghani, Saurabh Kumar, and Siddharth Kumar

When measuring causal impact can go horribly wrong

Demystifying Simpson’s paradox by simulating a trend reversal using a causal Bayesian network

Causal inference (Part 1 of 3): Understanding the fundamentals

By Jane Huang, Daniel Yehdego, Deepsha Menghani, Siddharth Kumar, Lisa Cohen, and Ryan Bouchard

A World of Causal Inference with EconML by Microsoft Research

An intersection of statistical approach and machine learning technique helps causal inference for decision-making in policy and business.

Sequential A/B Testing Keeps the World Streaming Netflix Part 1: Continuous Data

Michael Lindon, Chris Sanden, Vache Shirikian, Yanjun Liu, Minal Mishra, Martin Tingley

How Airbnb Measures Future Value to Standardize Tradeoffs

The propensity score matching model powering how we optimize for long-term decision-making

A Survey of Causal Inference Applications at Netflix

At Netflix, we want to entertain the world through creating engaging content and helping members discover the titles they will love. Key to…

Lulu Yan