MODE: Minimax Optimal Deterministic Experiments for Causal Inference in the Presence of Covariates

MODE: Minimax Optimal Deterministic Experiments for Causal Inference in the Presence of Covariates

Data-driven decision-making has become crucial across various domains. Randomization and re-randomization are standard techniques employed in controlled experiments to estimate causal effects in the presence of numerous pre-treatment covariates. This paper quantifies the worst-case mean squared erro...

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Bibliographic Details
Main Authors: Shaohua Xu, Songnan Liu, Yongdao Zhou
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Entropy
Subjects:
average treatment effect
covariate balance
generalized discrepancy
quasi-Monte Carlo
Online Access:https://www.mdpi.com/1099-4300/26/12/1023
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https://www.mdpi.com/1099-4300/26/12/1023

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