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A Blog on Statistical Inference, Machine Learning, and Causality
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October 27, 2023
New Developments in False Discovery Rate
August 1, 2023
Machine Learning Regression Adjustments in A/B Tests
July 28, 2023
The Alphabet of Learners for Heterogeneous Treatment Effects
June 30, 2023
Using Lasso to Estimate Heterogeneous Treatment Effects
April 30, 2023
An Overview of Machine Learning Methods in Causal Inference
March 30, 2023
The Variance of Propensity Score Matching Estimators
February 9, 2023
Correlation is a Cosine
January 31, 2023
My Favorite Data Science Books
December 22, 2022
Correlation is Not (Always) Transitive
November 6, 2022
Hypothesis Testing in Linear Machine Learning Models
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