List: causal inference | Curated by Zijing Zhu, PhD

Dec 9, 2024
30 stories
1 save
causal inference
In
TDS Archive
by
Shay Palachy Affek
Inferring causality in time series dataA concise review of the major approaches.
Nov 12, 2019
9
Nov 12, 2019
9
In
Data Science at Microsoft
by
Ganga Meghanath
Causal analysis overview: Causal inference versus experimentation versus causal discoveryAn introductory overview of causal analysis describing three methodologies used to generate causal insights to power data-driven decision…
Nov 5, 2024
3
Nov 5, 2024
3
In
Netflix TechBlog
by
Netflix Technology Blog
Round 2: A Survey of Causal Inference Applications at NetflixAt Netflix, we want to ensure that every current and future member finds content that thrills them today and excites them to come back for…
Jun 6, 2024
6
Jun 6, 2024
6
In
TDS Archive
by
Graham Harrison
Causal Validation: A Unified Theory of EverythingHow to detect and fix any type of error in a directed acyclic graph so that it is a valid representation of the underlying data
May 16, 2024
3
May 16, 2024
3
Bill Morrisson
Improving Price Elasticity Accuracy using Bayesian ModelingOpening Thoughts
Jun 6, 2023
Jun 6, 2023
In
TDS Archive
by
Aleksander Molak
Causal Python: Five Novel Causal Ideas At NeurIPS 2023New exciting ideas that marry causality with generative modeling, conformal prediction and topology.
Sep 24, 2023
1
Sep 24, 2023
1
In
Blog Técnico QuintoAndar
by
Davi Lirio
Causal Inference in Mass Media Marketing: A Deep Dive into Campaign EffectivenessComprehensive Tools for Evaluating Marketing Success — Part 1
Jul 21, 2023
1
Jul 21, 2023
1
In
TDS Archive
by
Graham Harrison
How to Build a Causal Inference Model to Explore Whether Global Warming is Caused by Human ActivityHow to use Python and the DoWhy library to build a causal inference machine learning model to explore the causes of global warming
Jan 2, 2023
1
Jan 2, 2023
1
In
TDS Archive
by
Nazlı Alagöz
SynthDiD 101: A Beginner’s Guide to Synthetic Difference-in-DifferencesOn the method’s advantages and disadvantages, demonstrated with the synthdid package in R
Apr 26, 2023
2
Apr 26, 2023
2
In
TDS Archive
by
Erdogan Taskesen
The Power of Bayesian Causal Inference: A Comparative Analysis of Libraries to Reveal Hidden…Reveal the hidden causal variables in your data set by using the best-suited Bayesian causal inference library: a comparison with hands-on…
May 22, 2023
3
May 22, 2023
3
In
Riskified Tech
by
Nir Shlomo
Unlocking Insights: Estimating Causal Effect Using Propensity Score MatchingDiscover causal effects with retrospective data, address confounders, balance data using Propensity Score Matching, and access code
Jul 25, 2023
Jul 25, 2023
In
TDS Archive
by
Graham Harrison
Causal Discovery : Does the Cockerel Crowing Cause the Sun to Rise?10 Lines of Python code to automate causal discovery that you have got to see!
Nov 1, 2022
2
Nov 1, 2022
2
In
Data Science at Microsoft
by
Andreas Stöffelbauer
Causal inference using synthetic controlsHow to estimate causal effects using Machine Learning instead of A/B testing
Apr 11, 2023
2
Apr 11, 2023
2
In
TDS Archive
by
Lars Roemheld
Causal Inference in the WildElasticity pricing as a real-world example of machine-learning-powered causal inference
Jul 8, 2021
9
Jul 8, 2021
9
In
Teconomics
by
Emily Glassberg Sands
Machine Learning Meets Instrumental VariablesBest of Both Worlds, Part 3: ML for Instrument Selection
Dec 31, 2017
2
Dec 31, 2017
2
In
GrabNGoInfo
by
Amy @GrabNGoInfo
Multiple Treatments Uplift Models for Binary Outcome Using Python CausalMLMultiple treatments ITE/CATE and ATE estimation using meta-learner uplift models S-learner, T-learner, and X-learner in Python for binary…
Nov 19, 2022
1
Nov 19, 2022
1
In
TDS Archive
by
Sachin Date
A Guide To Using The Difference-In-Differences Regression ModelWe’ll show how to use the DID model to estimate the effect of hurricanes on house prices
Jun 20, 2022
2
Jun 20, 2022
2
 This story is no longer available
In
TDS Archive
by
Cornellius Yudha Wijaya
Estimate the Causal Effect Intervention on Time Series with causalimpactInfer the causal intervention effect on your Time Series Data
Jan 20, 2021
1
Jan 20, 2021
1
In
TDS Archive
by
Samuele Mazzanti
Using Causal ML Instead of A/B TestingIn complex environments, Causal ML is a powerful tool because it is more flexible than A/B Testing, and it doesn’t require strong…
Nov 29, 2022
17
Nov 29, 2022
17