Jinzhou Li
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Hi, I am a postdoctoral fellow in the Statistics Department at Stanford University under the supervision of Emmanuel Candès. Previously I was a PhD student at the Seminar for Statistics in the Department of Mathematics at ETH Zürich, supervised by Marloes Maathuis and Nicolai Meinshausen.

Email: jinzhoul@stanford.edu




Publications and preprints

  • Simultaneous false discovery bounds for invariant causal prediction.
    Jinzhou Li (2024). Preprint.
    [arXiv] [codes]

  • Simultaneous false discovery proportion bounds via knockoffs and closed testing.
    Jinzhou Li, Marloes H. Maathuis and Jelle J. Goeman (2024). Journal of the Royal Statistical Society, Series B, forthcoming.
    [arXiv] [codes]

  • Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions.
    David Deuber*, Jinzhou Li*, Sebastian Engelke and Marloes H. Maathuis (2023). Journal of the American Statistical Association, forthcoming.
    [published version] [arXiv] [codes]

  • estimateR: An R package to estimate and monitor the effective reproductive number.
    Jérémie Scire, Jana S. Huisman, Ana Grosu, Daniel C. Angst, Adrian Lison, Jinzhou Li, Marloes H. Maathuis, Sebastian Bonhoeffer and Tanja Stadler (2023). BMC Bioinformatics 24, 310.
    [published version] [medRxiv] [codes]

  • Estimation and worldwide monitoring of the effective reproductive number of SARS-CoV-2.
    Jana S. Huisman, Jérémie Scire, Daniel C. Angst, Jinzhou Li, Richard A. Neher, Marloes H. Maathuis, Sebastian Bonhoeffer and Tanja Stadler (2022). eLife 11, e71345.
    [published version] [medRxiv] [codes] [website]

  • GGM knockoff filter: False discovery rate control for Gaussian graphical models.
    Jinzhou Li and Marloes H. Maathuis (2021). Journal of the Royal Statistical Society, Series B, 83, 534-558.
    [published version] [arXiv] [codes]