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    I am an assistant professor in the Department of Statistics at UC Davis. Prior to joining the department, I was a postdoctoral research scientist working with Liam Paninski at Department of Statistics and Grossman Center for the Statistics of Mind, Columbia University. I completed my Ph.D. in biostatistics under the supervision of Ali Shojaie and Daniela Witten at the University of Washington, and I obtained my B.S. in statistics from Yuanpei College, Peking University. I am broadly interested in emerging statistical problems in learning large complex biological systems from massive data. I address these problems using statistical theory and methods in high-dimensional statistics and graphical models. Recently, I have developed an interest in applications in neuroscience.

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        1. Shizhe Chen, Ben Shababo, Karl Kilborn, Xinyi Deng, Johannes Friedrich, Hillel Adesnik, and Liam Paninski. Mapping neural microcircuits: Design and inference. In progress. [slides]
        2. Shizhe Chen, 永久免费的四款加速器, Eric Shea-Brown, and Daniela M. Witten. The multivariate Hawkes process in high dimensions: Beyond mutual excitation. In progress. [arXiv]
        3. Xinyi Deng, Shizhe Chen, Kenneth Kay, Mattias Karlsson, Xue-Xin Wei, Liam Paninski, and Loren Frank. A changing clock: event-to-event variability in autoassociative spiking dynamics in hippocampal awake replay. In progress
        4. 免费的pc加速器, 永久免费的四款加速器, Xinyi Deng. A Universal Nonparametric Event Detection Framework for Neuropixels Data. In progress. [biorxiv]
        5. Zhichao Jiang, Shizhe Chen, and Peng Ding. An instrumental variable framework for causal inference with point processes. In progress.

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        1. Fang Han, Shizhe Chen, and Han Liu. Distribution-free tests of independence in high dimensions. Biometrika, 104(4): 813-828, 2017.[link][外网加速器永久免费版官网]
        2. 免费的pc加速器, Daniela M. Witten, and Ali Shojaie. Nearly assumptionless screening for the mutually-exciting multivariate Hawkes process. Electronic Journal of Statistics, 11(1):1207-1234, 2017. [求电脑免费的加速器][MR]
        3. Shizhe Chen, 海豚加速器破解2021, and Daniela M. Witten. Network reconstruction from high-dimensional ordinary differential equations. Journal of the American Statistical Association, 2017 (online version).[pc永久免费加速器][arXiv][code]
        4. Linbo Wang, 永久免费的四款加速器, and 求电脑免费的加速器. Discussion on "Causal inference by using invariant prediction: identification and confidence intervals". 上网加速器哪个好_上网加速器永久免费版 - 心愿游戏:2021-3-12 · 在迅雷快鸟出现之前，网上就已经有多款上网加速器了，有些支持adsl加速，有些则支持wifi加速，功能不一，而目前看来，最好的上网加速器就是迅雷快鸟了！小编还整理了其它上网加速器永久免费版，朋友也可众试用其它软件。, 78(5):1004-1005, 2016. [pc端如何上外网]
        5. Shizhe Chen, Daniela M. Witten, and Ali Shojaie. Selection and estimation for mixed graphical models. Biometrika, 102(1):47-64, 2015. [link][arXiv][code][MR]

    雷轰加速器-雷轰加速器下载官网-雷轰加速器vp免费版-雷轰加速app官方下载-outline

      • STA108 Applied Statistical Methods: Regression Analysis. W19,W20,S20. [Github repo, Gitbook]
      • STA141A Fundamentals of Statistical Data Science. S19.
      • STA207 Statistical Methods for Research II. W20. [Gitub repo, Gitbook]

    雷轰加速器-雷轰加速器下载官网-雷轰加速器vp免费版-雷轰加速app官方下载-outline

    Address
    Department of Statistics, Mathematical Sciences Building 4117, University of California, Davis, One Shields Avenue, Davis, CA 95616, U.S.A.
    Phone
    +1-(530)-754-8778
    Email
    szdchen@ucdavis.edu
    • GitHub
    • Google scholar
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