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arXiv Machine Learning By Haozheng Xu, Siyuan Ma, Qingyan Xiang

Analytical and Bootstrap Confidence Intervals of Double Machine Learning: Simulation studies and an application to rural-urban difference in obesity prevalence

Read the original on arXiv Machine Learning →

arXiv:2607. 29456v1 Announce Type: cross Abstract: Double Machine Learning (DML) is a popular approach for treatment effect estimation in various settings, which allows a wide range of flexible machine learning methods to be used for nuisance parameter estimation while preserving valid inference.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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