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A First Course in Causal Inference

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arxiv 2305.18793 v2 pith:N3U7Z6CE submitted 2023-05-30 stat.ME stat.AP

classification stat.MEstat.AP
keywords inferencecausalcourselecturenotesbasicberkeleycalifornia
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I developed the lecture notes based on my ``Causal Inference'' course at the University of California Berkeley over the past seven years. Since half of the students were undergraduates, my lecture notes only required basic knowledge of probability theory, statistical inference, and linear and logistic regressions.

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  1. K-Anonymous A/B Testing

    stat.AP 2025-01 conditional novelty 4.0 of 10

    OLS regression for A/B tests can be run on k-anonymized aggregate data (counts and sums) and return the same coefficients, enabling privacy-preserving interaction tests and CUPED adjustment.

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