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Hui Zou, Ph.D.

Affiliations: 
2005 Stanford University, Palo Alto, CA 
Area:
Statistics and Biostatistics (HRP)
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"Hui Zou"
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Trevor Hastie grad student 2005 Stanford
 (Some perspectives of sparse statistical modeling.)

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Publications

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He D, Zhou Y, Zou H. (2020) High-dimensional variable selection with right-censored length-biased data Statistica Sinica. 30: 193-215
Datta A, Zou H, Banerjee S. (2019) Bayesian High-Dimensional Regression for Change Point Analysis. Statistics and Its Interface. 12: 253-264
Li D, Xue L, Zou H. (2018) Applications of Peter Hall's martingale limit theory to estimating and testing high dimensional covariance matrices Statistica Sinica. 28: 2657-2670
Wang B, Zou H. (2018) Another look at distance-weighted discrimination Journal of the Royal Statistical Society Series B-Statistical Methodology. 80: 177-198
Yang Y, Qian W, Zou H. (2018) Insurance Premium Prediction via Gradient Tree-Boosted Tweedie Compound Poisson Models Journal of Business & Economic Statistics. 36: 456-470
Gu Y, Fan J, Kong L, et al. (2018) ADMM for High-Dimensional Sparse Penalized Quantile Regression Technometrics. 60: 319-331
Yang Y, Zhang T, Zou H. (2017) Flexible Expectile Regression in Reproducing Kernel Hilbert Spaces Technometrics. 60: 26-35
Fan J, Xue L, Zou H. (2016) Multitask Quantile Regression under the Transnormal Model. Journal of the American Statistical Association. 111: 1726-1735
Zou H. (2016) Discussion of “estimating structured high-dimensional covariance and precision matrices: Optimal rates and adaptive estimation” Electronic Journal of Statistics. 10: 60-66
Gu Y, Zou H. (2016) High-dimensional generalizations of asymmetric least squares regression and their applications The Annals of Statistics. 44: 2661-2694
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