Yang Feng

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	Wszystkie	Od 2018
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h-indeks	27	25
i10-indeks	43	42

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Jianqing FanProfessor of Statistics, Professor of Finance, Princeton UniversityZweryfikowany adres z princeton.edu
Xin TongAssociate Professor, Department of Data Sciences and Operations, University of Southern CaliforniaZweryfikowany adres z marshall.usc.edu
Haolei WengAssistant Professor, Department of Statistics and Probability, Michigan State UniversityZweryfikowany adres z msu.edu
Yi YuDepartment of Statistics, University of WarwickZweryfikowany adres z warwick.ac.uk
Ye TianPh.D. Student in Statistics, Columbia UniversityZweryfikowany adres z columbia.edu
Rui SongNorth Carolina State UniversityZweryfikowany adres z ncsu.edu
Anqi ZhaoAssistant Professor, Duke UniversityZweryfikowany adres z duke.edu
尚作峰 (Zuofeng Shang)New Jersey Institute of TechnologyZweryfikowany adres z njit.edu
zhiliang yingprofessor of statistics, columbia universityZweryfikowany adres z stat.columbia.edu
Henry RusinekNYU School of MedicineZweryfikowany adres z nyu.edu
Ning HaoThe University of ArizonaZweryfikowany adres z math.arizona.edu
Hao Helen ZhangUniversity of ArizonaZweryfikowany adres z math.arizona.edu
Jingyi Jessica LiProfessor, Department of Statistics, University of California at Los Angeles (UCLA)Zweryfikowany adres z stat.ucla.edu
Melanie WallProfessor of Biostatistics, Columbia UniversityZweryfikowany adres z columbia.edu
Xingye QiaoProfessor of Mathematics and Statistics, Binghamton UniversityZweryfikowany adres z math.binghamton.edu
Lei LiuProfessor of Biostatistics, Washington UniversityZweryfikowany adres z wustl.edu
Leonard StefanskiDepartment of Statistics, North Carolina State UniversityZweryfikowany adres z ncsu.edu
Ming YuanColumbia UniversityZweryfikowany adres z columbia.edu
Ruiyang WuNew York UniversityZweryfikowany adres z nyu.edu

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Yang Feng

Professor of Biostatistics, School of Global Public Health, New York University

Zweryfikowany adres z nyu.edu - Strona główna

Machine Learning High-dimensional Statistics Nonparametric Statistics Network Models Statistical


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	819	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	617	2011
Network exploration via the adaptive LASSO and SCAD penalties J Fan, Y Feng, Y Wu The annals of applied statistics, 521-541, 2009	480	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	210	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	197	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	132*	2018
How many communities are there? DF Saldana, Y Yu, Y Feng Journal of Computational and Graphical Statistics 26 (1), 171-181, 2017	119	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	111	2018
Neyman-Pearson classification algorithms and NP receiver operating characteristics X Tong, Y Feng, JJ Li Science Advances 4 (2), eaao1659, 2018	74	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	60	2016
Transfer learning under high-dimensional generalized linear models Y Tian, Y Feng Journal of the American Statistical Association, 1-14, 2022	51	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	48	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	47	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	47	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	44	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	43	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	43*	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	43	2017
Community detection with nodal information: likelihood and its variational approximation H Weng, Y Feng Stat, e428, 2021	42*	2021
Local quasi-likelihood with a parametric guide J Fan, Y Wu, Y Feng Annals of statistics 37 (6B), 4153, 2009	42	2009

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