Short bio [CV]
Jinchi Lv is Kenneth King Stonier Chair in Business Administration and Professor in Data Sciences and Operations Department of the Marshall School of Business at the University of Southern California, Professor in Department of Mathematics at USC, and an Associate Fellow of USC Dornsife Institute for New Economic Thinking (INET). He received his Ph.D. in Mathematics from Princeton University in 2007. He was McAlister Associate Professor in Business Administration at USC from 2016-2019. His research interests include statistics, machine learning, data science, business applications, and artificial intelligence and blockchain.
His papers have been published in journals in statistics, economics, computer science, information theory, and biology, and one of them was published as a Discussion Paper in Journal of the Royal Statistical Society Series B (2008). He is the recipient of Fellow of Institute of Mathematical Statistics (2019), USC Marshall Dean's Award for Research Impact (2017), Adobe Data Science Research Award (2017), the Royal Statistical Society Guy Medal in Bronze (2015), NSF Faculty Early Career Development (CAREER) Award (2010), USC Marshall Dean's Award for Research Excellence (2009), and Zumberge Individual Award from USC's James H. Zumberge Faculty Research and Innovation Fund (2008). He has served as an associate editor of the Annals of Statistics (2013-2018), Journal of Business & Economic Statistics (2018-present), and Statistica Sinica (2008-2016).
- Fan, Y., Demirkaya, E. and Lv, J. (2019).
Nonuniformity of p-values can occur early in diverging dimensions.
Journal of Machine Learning Research 20, 1-33. [PDF]
- 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. [PDF]
Fan, Y. and Lv, J. (2016).
Innovated scalable efficient estimation in ultra-large Gaussian graphical models.
The Annals of Statistics 44, 2098-2126. [PDF]
Lv, J. and Liu, J. S. (2014).
Model selection principles in misspecified models.
Journal of the Royal Statistical Society Series B 76, 141-167. [PDF]
Fan, Y. and Lv, J. (2013).
Asymptotic equivalence of regularization methods in thresholded parameter space.
Journal of the American Statistical Association 108, 1044-1061. [PDF]
Fan, J. and Lv, J. (2008).
Sure independence screening for ultrahigh dimensional feature space (with discussion).
Journal of the Royal Statistical Society Series B 70, 849-911. [PDF]