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1رسالة جامعية
المؤلفون: Al-Kenani, Ali J. Kadhim
المساهمون: Yu, K.
مصطلحات موضوعية: 519.5, Dimension reduction, Variable selection, Lasso, Adaptive lasso, Quantile regression
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2دورية أكاديمية
المؤلفون: Baek, Changryong, Davis, Richard A., Pipiras, Vladas
مصطلحات موضوعية: Dynamic factor model, periodic vector autoregressive (PVAR) model, dimension reduction, adaptive lasso, 62M10, 62H12, 62H20
وصف الملف: application/pdf
العلاقة: https://projecteuclid.org/euclid.ejs/1545123627Test; Electron. J. Statist. 12, no. 2 (2018), 4377-4411
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المؤلفون: Changryong Baek, Richard A. Davis, Vladas Pipiras
المصدر: Electron. J. Statist. 12, no. 2 (2018), 4377-4411
مصطلحات موضوعية: Statistics and Probability, Estimation, Multivariate statistics, adaptive lasso, dimension reduction, Dimensionality reduction, 05 social sciences, Structure (category theory), 01 natural sciences, 010104 statistics & probability, Autoregressive model, Dynamic factor, 0502 economics and business, periodic vector autoregressive (PVAR) model, Applied mathematics, 62M10, 62H12, 050207 economics, 0101 mathematics, Statistics, Probability and Uncertainty, Time series, Mathematics, Dynamic factor model, 62H20
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8b2d457f822ece80476db22389b1074Test
https://projecteuclid.org/euclid.ejs/1545123627Test -
4دورية أكاديمية
المؤلفون: Yu, K
مصطلحات موضوعية: Dimension reduction, Variable selection, Adaptive lasso, Lasso, Single index model, Quantile regression, info, scipo
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5دورية أكاديمية
المؤلفون: Wang, H.
المساهمون: Wang, H (reprint author), Peking Univ, Guanghua Sch Management, Beijing 100871, Peoples R China., Peking Univ, Guanghua Sch Management, Beijing 100871, Peoples R China.
المصدر: SCI
مصطلحات موضوعية: Factor profiled sure independence screening, Factor profiling, Maximum eigenvalue ratio criterion, Screening consistency, Sure independence screening, NONCONCAVE PENALIZED LIKELIHOOD, MODEL SELECTION, DIMENSION REDUCTION, DIVERGING NUMBER, INVERSE REGRESSION, VARIABLE SELECTION, ORACLE PROPERTIES, ADAPTIVE LASSO, ELASTIC-NET, PARAMETERS
العلاقة: BIOMETRIKA.2012,99,(1),15-28.; 882336; http://hdl.handle.net/20.500.11897/321770Test; WOS:000300734400002
الإتاحة: https://doi.org/20.500.11897/321770Test
https://doi.org/10.1093/biomet/asr074Test
https://hdl.handle.net/20.500.11897/321770Test -
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المؤلفون: Al-Kenani, Ali J Kadhim
المساهمون: Yu, K
مصطلحات موضوعية: Variable selection, Dimension reduction, Quantile regression, Lasso, Adaptive lasso
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=od_______900::1a4bf51fbf7c3391ba33e1f0f95c8fcdTest
http://bura.brunel.ac.uk/handle/2438/7727Test -
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المؤلفون: Keming Yu, Ali Alkenani
مصطلحات موضوعية: Variable selection, Estimation theory, Single-index model, Single index model, Dimensionality reduction, Feature selection, Regression, Quantile regression, Lasso (statistics), Statistics, Econometrics, Dimension reduction, Adaptive lasso, Lasso, Quantile, Mathematics
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::778ca4daa9cc7572bf512475d6d901e6Test
http://bura.brunel.ac.uk/handle/2438/7948Test -
8دورية أكاديمية
المؤلفون: Marron, J. S., Huang, Jianhua Z., Shen, Haipeng, Lee, Mihee
مصطلحات موضوعية: High-dimension low sample size, Principal component analysis, Adaptive lasso, Biclustering, Dimension reduction, Penalization
العلاقة: Biometrics; Biometrics, 2010, v. 66, n. 4, p. 1087-1095; 1095; eid_2-s2.0-78650059908; 1087; http://hdl.handle.net/10722/219639Test; 66
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9دورية أكاديمية
المؤلفون: Lee, Mihee, Shen, Haipeng, Huang, Jianhua Z., Marron, J. S.
المساهمون: The University of North Carolina at Chapel Hill, Chapel Hill, United States, Texas A and M University, College Station, United States
مصطلحات موضوعية: Adaptive lasso, Biclustering, Dimension reduction, High-dimension low sample size, Penalization, Principal component analysis
العلاقة: Lee M, Shen H, Huang JZ, Marron JS (2010) Biclustering via Sparse Singular Value Decomposition. Biometrics 66: 1087–1095. Available: http://dx.doi.org/10.1111/j.1541-0420.2010.01392.xTest.; Biometrics; http://hdl.handle.net/10754/597666Test
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10دورية أكاديمية
المؤلفون: Ali Alkenani, Keming Yu
المساهمون: The Pennsylvania State University CiteSeerX Archives
مصطلحات موضوعية: dimension reduction, variable selection, adaptive lasso, lasso, single index model, quantile regression
النص الكامل