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2<aside class=search-modal id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=# aria-label=Close><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search class=form-control aria-label=Search...></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><div class="page-header header--fixed"><header><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container-xl><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/>Yimin Dai</a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar-content aria-expanded=false aria-label="Toggle navigation">
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6<span class=avatar-emoji>☕️</span></div><div class=portrait-title><h2>Yimin Dai 戴一民</h2><h3>Ph.D. student</h3><h3><a href=https://artsci.tamu.edu/statistics/ target=_blank rel=noopener><span>Texas A&M University</span></a></h3></div><ul class=network-icon aria-hidden=true><li><a href="https://scholar.google.com/citations?user=EvVe_rwAAAAJ&hl=zh-CN&oi=ao" target=_blank rel=noopener aria-label=google-scholar><i class="ai ai-google-scholar big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><h1>About</h1><div class=article-style><p>Yimin Dai is a Ph.D. student in the Department of Statistics at Texas A&M University, advised by <a href=https://raymondkww.github.io target=_blank rel=noopener>Raymond Wong</a> and <a href=https://sites.google.com/site/patricianing/ target=_blank rel=noopener>Ning Ning</a>. His research interests include causal inference, semiparametric and empirical process methods, and applications to real-world problems. Before joining TAMU, he spent four great years at Sun-Yat Sen University and was very fortunate to be advised by Prof. <a href=https://sites.google.com/site/yingyanuw/ target=_blank rel=noopener>Ying Yan</a>.</p></div><div class="bio-details row"><div class="col-12 col-md-5"><h2>Interests</h2><ul class=ul-interests><li>Causal inference</li><li>Semiparametric and empirical process methods</li><li>Applications to real-world problems</li></ul></div><div class="col-12 col-md-7"><h2>Education</h2><ul class="ul-edu fa-ul"><li><i class="fa-li fas fa-graduation-cap"></i><div class=description><p class=course>Ph.D. in Statistics, 2027 (Expected)</p><p class=institution>Texas A&M University</p></div></li><li><i class="fa-li fas fa-graduation-cap"></i><div class=description><p class=course>BSc in Statistics, 2022</p><p class=institution>Sun Yat-sen University (SYSU)</p></div></li></ul></div></div></div></div></div></section><section id=publications class="home-section wg-collection"><div class=home-section-bg></div><div class=container><div class="row justify-content-center"><div class="section-heading col-12 mb-3 text-center"><h1 class=mb-0>Publications</h1></div><div class=col-12><div class="pub-list-item view-citation" style=margin-bottom:1rem><i class="far fa-file-alt pub-icon" aria-hidden=true></i>
7<span class="article-metadata li-cite-author"><span>Binbin Lin</span>, <span class=author-highlighted>Yimin Dai 戴一民</span>, <span>Lei Zou</span>, <span>Ning Ning</span></span>
8(2024).
9<a href=/publication/modeling-the-impacts-of-governmental-and-human-responses-on-covid-19-spread-using-statistical-machine-learning/>Modeling the impacts of governmental and human responses on COVID-19 spread using statistical machine learning</a>.
10<em>International Journal of Digital Earth</em>, 17(1), 2434651.<p><a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/modeling-the-impacts-of-governmental-and-human-responses-on-covid-19-spread-using-statistical-machine-learning/cite.bib>Cite</a>
11<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://doi.org/10.1080/17538947.2024.2434651 target=_blank rel=noopener>DOI</a>
12<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://www.tandfonline.com/doi/full/10.1080/17538947.2024.2434651 target=_blank rel=noopener>Published version</a>
13<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://pubmed.ncbi.nlm.nih.gov/40896195/ target=_blank rel=noopener>PubMed</a></p></div><div class="pub-list-item view-citation" style=margin-bottom:1rem><i class="far fa-file-alt pub-icon" aria-hidden=true></i>
14<span class="article-metadata li-cite-author"><span class=author-highlighted>Yimin Dai 戴一民</span>, <span>Ying Yan</span></span>
15(2024).
16<a href=/publication/mahalanobis-balancing-a-multivariate-perspective-on-approximate-covariate-balancing/>Mahalanobis balancing: A multivariate perspective on approximate covariate balancing</a>.
17<em>Scandinavian Journal of Statistics</em>, 51(4), 1450-1471.<p><a href=# class="btn btn-outline-primary btn-page-header btn-sm js-cite-modal" data-filename=/publication/mahalanobis-balancing-a-multivariate-perspective-on-approximate-covariate-balancing/cite.bib>Cite</a>
18<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://doi.org/10.1111/sjos.12721 target=_blank rel=noopener>DOI</a>
19<a class="btn btn-outline-primary btn-page-header btn-sm" href=https://doi.org/10.1111/sjos.12721 target=_blank rel=noopener>Published version</a></p></div></div></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><p class="powered-by copyright-license-text">© 2026 Yimin Dai. This work is licensed under <a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank>CC BY NC ND 4.0</a></p><p class="powered-by footer-license-icons"><a href=https://creativecommons.org/licenses/by-nc-nd/4.0 rel="noopener noreferrer" target=_blank aria-label="Creative 

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