Hui Zou
American computer scientist
From Wikipedia, the free encyclopedia
Hui Zou is currently a professor of statistics at the University of Minnesota.
KnownforElastic net
Adaptive Lasso
Sparse PCA
LLA for Nonconvex Penalization
Adaptive Lasso
Sparse PCA
LLA for Nonconvex Penalization
FieldsStatistics, Statistical learning
InstitutionsUniversity of Minnesota
Hui Zou | |||||||
|---|---|---|---|---|---|---|---|
| Alma mater | Stanford University University of Science and Technology of China | ||||||
| Known for | Elastic net Adaptive Lasso Sparse PCA LLA for Nonconvex Penalization | ||||||
| Scientific career | |||||||
| Fields | Statistics, Statistical learning | ||||||
| Institutions | University of Minnesota | ||||||
| Doctoral advisor | Trevor Hastie | ||||||
| Chinese name | |||||||
| Simplified Chinese | 邹晖 | ||||||
| |||||||
Selected publications
- Zou, Hui; Hastie, Trevor (2005). "Regularization and variable selection via the elastic net". Journal of the Royal Statistical Society, Series B (Statistical Methodology). 67 (2): 301–320. doi:10.1111/j.1467-9868.2005.00503.x. S2CID 122419596.
- Zou, Hui (2006). "The Adaptive Lasso and its Oracle Properties". Journal of the American Statistical Association. 101 (476): 1418–1429. CiteSeerX 10.1.1.710.7720. doi:10.1198/016214506000000735. S2CID 13998761.
- Zou, Hui; Hastie, Trevor; Tibshirani, Robert (2006). "Sparse Principal Component Analysis". Journal of Computational and Graphical Statistics. 15 (2): 265–286. CiteSeerX 10.1.1.62.580. doi:10.1198/106186006X113430. S2CID 5730904.
- Zou, Hui; Li, Runze (2008). "One-step sparse estimates in nonconcave penalized likelihood models". The Annals of Statistics. 36 (4): 1509–1533. doi:10.1214/009053607000000802. PMC 2759727. PMID 19823597.
Honors and awards
- Fellow of the American Statistical Association, 2019[1]
- Highly Cited Researcher in Mathematics,[2] 2014, 2015, 2016, 2017, 2018
- Fellow, Institute of Mathematical Statistics, 2015.
- Institute of Mathematical Statistics Tweedie New Researcher Award,[3] 2011
- National Science Foundation CAREER Award, 2009
- New Hot Paper in Mathematics, 2008
- Fast Breaking Paper in Mathematics, 2006