Hui Zou

Professor, Statistics (Twin Cities)

Research activity per year

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Expertise related to UN SDGs

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

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2 Active
5 Finished

Zou:Novel Inference Procedures for Non-Standard High-dimensional Regression Models
Zou, H.
National Science Foundation
7/1/20 → 6/30/23
Project: Research project
Flexible Statistical Modeling for High Dimensional Data
Zou, H.
National Science Foundation
9/1/19 → 8/31/22
Project: Research project
Cracking the speech code: A cross-linguistic neurobehavioral approach to language learning in typical and atypical populations
Elison, J. T., Reiff, M. I., Schlauch, R. S., Zhang, Y. & Zou, H.
1/1/17 → 1/31/19
Project: Grand Challenges
Collaborative Research: New Statistical Methods and Theo
Zou, H.
National Science Foundation
8/15/15 → 7/31/18
Project: Research project
Semiparametric Learning of The Correlation Matrix & Its Inverse with Ultra-high Dimensionality
Zou, H.
USDOD NAVY
11/15/10 → 1/7/15
Project: Research project

74 Article
3 Comment/debate
3 Editorial
2 Letter
More

A Note on Cross-Validation for Lasso Under Measurement Errors
Datta, A. & Zou, H., Oct 1 2020, In: Technometrics. 62, 4, p. 549-556 8 p.
Research output: Contribution to journal › Comment/debate › peer-review
A simple method to improve principal components regression
Lang, W. & Zou, H., 2020, In: Stat. 9, 1, e288.
Research output: Contribution to journal › Article › peer-review
2 Scopus citations
Comment: Ridge Regression—Still Inspiring After 50 Years
Zou, H., Oct 1 2020, In: Technometrics. 62, 4, p. 456-458 3 p.
Research output: Contribution to journal › Comment/debate › peer-review
High-dimensional variable selection with right-censored length-biased data
He, D., Zhou, Y. & Zou, H., Jan 2020, In: Statistica Sinica. 30, 1, p. 193-215 23 p.
Research output: Contribution to journal › Article › peer-review
Sparse Composite Quantile Regression in Ultrahigh Dimensions with Tuning Parameter Calibration
Gu, Y. & Zou, H., Nov 2020, In: IEEE Transactions on Information Theory. 66, 11, p. 7132-7154 23 p., 9112219.
Research output: Contribution to journal › Article › peer-review