Hi! I am currently a MS student in Statistics at the University of Washington, where I am very fortunate to be advised by Professors Fang Han, Alex Luetdke and Eric Tchetgen Tchetgen (UPenn). Previously, I completed my undergraduate studies in Mathematics at Zhejiang University, advised by Professor Andre Python; and was a full-time visiting student at the University of Oxford.
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My research interests include: Causal Inference, Machine Learning, Semiparametric theory, and Graph-based Methods.
Email: zmlin@uw.edu
Preprints and paper drafts:
Ziming Lin and Fang Han. On the consistency of bootstrap for matching estimators.
Submitted to Econometrica. ArXiv preprint at arXiv:2410.23525, 2024.
Ziming Lin and Fang Han. On the bootstrap consistency of double machine learning estimators.
Draft available upon request.
Ziming Lin and Fang Han. On balancing score matching with a diverging number of matches.
Draft available upon request.
Lars van der Laan*, Ziming Lin*, Marco Carone, and Alex Luedtke. Stabilized inverse probability weighting via isotonic calibration.
Submitted to the 4th conference on Causal Learning and Reasoning (CLeaR 2025). ArXiv preprint at arXiv:2411.06342, 2024.
* co-first author
Ongoing projects:
Semiparametric inference for non-monotone longitudinal missing data with proxies.
Advised by Professor Eric Tchetgen Tchetgen
Asymptotic behaviors of propensity score matching estimator under high dimensional setups.
Co-advised by Professors Fang Han and Matias Cattaneo
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