List: Causality | Curated by Graham Harrison

Mar 31, 2024
62 stories
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Causality
In
TDS Archive
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Harrison Hoffman
Causal Machine Learning: What Can We Accomplish with a Single Theorem?Exploring and exploiting the seemingly innocent theorem behind Double Machine Learning
Mar 30, 2024
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Mar 30, 2024
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In
TDS Archive
by
Graham Harrison
Understanding V-Structures and the Role They Play in Causal Validation and Causal InferenceHow to Detect and Correct the Direction of Causal Links in a Directed Acyclic Graph that are Incorrect When Compared to the Underlying Data
Mar 19, 2024
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Mar 19, 2024
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In
TDS Archive
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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
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Sep 24, 2023
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TDS Archive
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Maham Haroon
Exploring Counterfactual Insights: From Correlation to Causation in Data AnalysisUse of counterfactuals for informed decision-making in data science
Oct 6, 2023
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Oct 6, 2023
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Laurin Brechter
Causal Inference with CausalPyThis post provides a short introduction to causal inference with a practical example showing how synthetic control can work in CausalPy
Jul 20, 2023
Jul 20, 2023
In
Geek Culture
by
Joanna
[Notes] A Crash Course in Causality, Week 2My notes from A Crash Course in Causality, instructed by Jason A. Roy (University of Pennsylvania) on Coursera
Mar 16, 2023
Mar 16, 2023
MathCo
Causal Inference and Statistical Tests for Business AnalyticsCausal inference is a tool for data scientists to understand why something happened and solve modern-day business problems.
May 19, 2023
May 19, 2023
In
Geek Culture
by
Joanna
[Notes] A Crash Course in Causality, Week 4My notes from A Crash Course in Causality, instructed by Jason A. Roy (University of Pennsylvania) on Coursera
Mar 18, 2023
Mar 18, 2023
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TDS Archive
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Murat Unal
Identification: The Key to Credible Causal InferenceImprove your causal IQ and build trust in your causal inference by mastering identification
Feb 22, 2023
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Feb 22, 2023
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IvanGor
Demystifying Causality: An Introduction in Causal Inference and Applications. Part 4.In previous posts, we discussed identifying causal models and calculating ATEs using causal graphs. However, what if we don’t have access…
Jul 2, 2023
Jul 2, 2023
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data from the trenches
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Jean-Yves Gérardy
Causal Inference on Observational Data: It's All About the AssumptionsFor robust causal estimation, one cannot blindly use causal model. We present tests to check plausibility of the main causality hypothesis.
Jun 3, 2021
Jun 3, 2021
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AI Skunks
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Cheril Yogi
Causal Inference using Propensity ScoreWhat is Causal Inference?
Apr 27, 2023
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Apr 27, 2023
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Wendy Hu
Causal Inference with Python — Causal GraphsCausal graph
Feb 24, 2023
Feb 24, 2023
IvanGor
Demystifying Causality: An Introduction to Causal Inference and Applications. Part 3.Thank you for joining me on this journey through causal inference. Today, we’ll explore some formal operators, such as the do operator, and…
May 16, 2023
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May 16, 2023
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In
TDS Archive
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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
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May 22, 2023
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IvanGor
Demystifying Causality: An Introduction to Causal Inference and Applications. Part 1.This post is the first one in series of blog posts observing methods of causal inference starting with the basics and going to SOTA methods…
Apr 12, 2023
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Apr 12, 2023
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 This story is no longer available
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TDS Archive
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Zijing Zhu, PhD
Causal Inference: What, Why, and Howvalidate the decision-making process
Nov 23, 2020
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Nov 23, 2020
1
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GrabNGoInfo
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Amy @GrabNGoInfo
Subclassification Propensity Score Matching Using Python Package Causal InferencePropensity score estimation, subclassification matching, and treatment effect estimation
Aug 30, 2022
Aug 30, 2022
In
TDS Archive
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Aayush Agrawal
Causal inference with Synthetic Control using Python and SparseSCUnderstanding Synthetic Control and using Microsoft’s SparceSC package to run synthetic control on larger datasets.
Sep 20, 2022
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Sep 20, 2022
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