Yang Feng
Yang Feng
Professor of Biostatistics, School of Global Public Health, New York University
Zweryfikowany adres z nyu.edu - Strona główna
Cytowane przez
Cytowane przez
The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models.
L Shi, G Campbell, WD Jones, F Campagne, Z Wen, SJ Walker, Z Su, ...
Nature biotechnology 28 (8), 827, 2010
Nonparametric independence screening in sparse ultra-high-dimensional additive models
J Fan, Y Feng, R Song
Journal of the American Statistical Association 106, 544-557, 2011
Network exploration via the adaptive LASSO and SCAD penalties
J Fan, Y Feng, Y Wu
The annals of applied statistics, 521-541, 2009
A road to classification in high dimensional space: the regularized optimal affine discriminant
J Fan, Y Feng, X Tong
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2012
High-dimensional variable selection for Cox’s proportional hazards model
J Fan, Y Feng, Y Wu
Borrowing strength: Theory powering applications–a Festschrift for Lawrence …, 2010
SIS: An R Package for Sure Independence Screening in Ultrahigh Dimensional Statistical Models
DF Saldana, Y Feng
Journal of Statistical Software 83 (2), 1-25, 2018
How many communities are there?
DF Saldana, Y Yu, Y Feng
Journal of Computational and Graphical Statistics 26 (1), 171-181, 2017
Model selection for high-dimensional quadratic regression via regularization
N Hao, Y Feng, HH Zhang
Journal of the American Statistical Association 113 (522), 615-625, 2018
Neyman-Pearson classification algorithms and NP receiver operating characteristics
X Tong, Y Feng, JJ Li
Science Advances 4 (2), eaao1659, 2018
Variable selection and prediction with incomplete high-dimensional data
Y Liu, Y Wang, Y Feng, MM Wall
The annals of applied statistics 10 (1), 418, 2016
Transfer learning under high-dimensional generalized linear models
Y Tian, Y Feng
Journal of the American Statistical Association, 1-14, 2022
A survey on Neyman‐Pearson classification and suggestions for future research
X Tong, Y Feng, A Zhao
Wiley Interdisciplinary Reviews: Computational Statistics 8 (2), 64-81, 2016
Visceral adipose tissue in patients with COVID-19: risk stratification for severity
H Chandarana, B Dane, A Mikheev, MT Taffel, Y Feng, H Rusinek
Abdominal Radiology 46 (2), 818-825, 2021
Modified cross-validation for penalized high-dimensional linear regression models
Y Yu, Y Feng
Journal of Computational and Graphical Statistics 23 (4), 1009-1027, 2014
Feature Augmentation via Nonparametrics and Selection (FANS) in high-dimensional classification
J Fan, Y Feng, J Jiang, X Tong
Journal of the American Statistical Association 111 (513), 275-287, 2016
Analytical performance of lateral flow immunoassay for SARS-CoV-2 exposure screening on venous and capillary blood samples
MA Black, G Shen, X Feng, WG Beltran, Y Feng, V Vasudevaraja, ...
J Immunol Methods, 2020
The restricted consistency property of leave--out cross-validation for high-dimensional variable selection
Y Feng, Y Yu
Statistica Sinica 29, 1607-1630, 2019
Post selection shrinkage estimation for high‐dimensional data analysis
X Gao, SE Ahmed, Y Feng
Applied Stochastic Models in Business and Industry 33 (2), 97-120, 2017
Community detection with nodal information: likelihood and its variational approximation
H Weng, Y Feng
Stat, e428, 2021
Local quasi-likelihood with a parametric guide
J Fan, Y Wu, Y Feng
Annals of statistics 37 (6B), 4153, 2009
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