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Causal Inference Seminar Speaker List

Causal Inference Seminar

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Check back for upcoming date for Spring 2023

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Bayesian Models of Treatment Effects: Model Parameterization, Prior Choice, and Posterior Summarization

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A graph-theoretic approach for testing causal effects under interference.

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Experimental Design for Studying Political Polarization

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Beyond Exclusion: The role of the causal effect of testing on attendance on the day of the test

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