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Fan, along with her collaborators, has developed some popular statistical and data science tools including the generalized information criterion (GIC), the model-X knockoffs (MXK), the deep learning inference using knockoffs (DeepLINK), and the statistical inference on membership profiles in large
30:. She is currently the Associate Dean for the PhD Program at USC Marshall. She also holds joint appointments at the USC Dana and David Dornsife College of Letters, Arts and Sciences, and Keck Medicine of USC. Her contributions to statistics and data science were recognized by the
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She currently co-edits the
Journal of Business & Economic Statistics. In addition, she serves as the IMS editor of Statistics Surveys as well as the IMS-CUP coordinating editor for the IMS-Cambridge University Press Textbooks/Monographs Series.
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for seminal contributions to high-dimensional inference, variable selection, classification, networks, and nonparametric methodology, particularly in the field of financial econometrics, and for conscientious professional service in 2020.
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Zhu, Z., Fan, Y., Kong, Y., Lv, J. and Sun, F. (2021). DeepLINK: deep learning inference using knockoffs with applications to genomics. Proceedings of the
National Academy of Sciences of the United States of America 118,
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Candès, E. J., Fan, Y., Janson, L. and Lv, J. (2018). Panning for gold: 'model-X' knockoffs for high dimensional controlled variable selection. Journal of the Royal
Statistical Society Series B 80, 551-577.
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Fan, J., Fan, Y., Han, X. and Lv, J. (2022). SIMPLE: statistical inference on membership profiles in large networks. Journal of the Royal
Statistical Society Series B 84, 630-653.
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Fan, Y. and Tang, C. (2013). Tuning parameter selection in high dimensional penalized likelihood. Journal of the Royal
Statistical Society Series B 75, 531-552.
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Chi, C.-M., Vossler, P., Fan, Y. and Lv, J. (2022). Asymptotic properties of high-dimensional random forests. The Annals of
Statistics 50, 3415-3438.
51:
networks (SIMPLE), as well as some fundamental asymptotic theory for high-dimensional random forests and the eigenvectors of large random matrices.
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is a
Chinese-American statistician and Centennial Chair in Business Administration and Professor in Data Sciences and Operations Department of the
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This article about a statistician from the United States is a
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Medallion
Lecture in 2023. She was elected Fellow of
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Fellows of the
Institute of Mathematical Statistics
112:"RSS announces honours for 2017 | StatsLife"
54:Some of her representative publications include:
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36:Institute of Mathematical Statistics
34:Guy Medal in Bronze in 2017 and the
16:American statistician and professor
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94:"Yingying Fan | USC Marshall"
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144:"The 2019 ASA Fellows"
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150:. Retrieved
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493:John Glover
416:John Nelder
308:Frank Yates
1512:Categories
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1128:M. C. Pike
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829:A. Bissell
811:Henry Wynn
577:G. H. Wood
559:W. H. Shaw
541:Yves Guyot
517:C. S. Loch
464:Nancy Reid
152:2023-08-31
80:References
1403:Peng Ding
1391:Jinchi Lv
1385:Ming Yuan
1307:Guy Nason
1182:A. J. Fox
751:C. R. Rao
733:D. R. Cox
589:S. Rowson
553:R. H. Rew
428:C. R. Rao
356:Roy Allen
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799:M. Stone
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26:at the
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