المؤلفون: Yingli Pan, Zhan Liu

المصدر: IEEE Access, Vol 9, Pp 64732-64746 (2021)

مصطلحات موضوعية: Expectile regression, SCAD, adaptive LASSO, communication-efficient, distributed learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/9416468Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/eaff82aa25cb4854bc4eb4fe1910ccc8Test

المؤلفون: Abhijeet R Patil, Sangjin Kim

المصدر: Mathematics; Volume 8; Issue 1; Pages: 110

مصطلحات موضوعية: ensembles, feature selection, high-throughput, gene expression data, resampling, lasso, adaptive lasso, elastic net, SCAD, MCP

وصف الملف: application/pdf

العلاقة: Computational and Applied Mathematics; https://dx.doi.org/10.3390/math8010110Test

الإتاحة: https://doi.org/10.3390/math8010110Test

المؤلفون: Fan, Jianqing, Feng, Yang, Wu, Yichao

المصدر: The Annals of Applied Statistics, 2009 Jun 01. 3(2), 521-541.

الوصول الحر: https://www.jstor.org/stable/30244254Test

المؤلفون: Sangjin Kim, Abhijeet R Patil

المصدر: Mathematics, Vol 8, Iss 1, p 110 (2020)
Mathematics
Volume 8
Issue 1

مصطلحات موضوعية: Elastic net regularization, Clustering high-dimensional data, adaptive lasso, Computer science, General Mathematics, Feature selection, ensembles, 01 natural sciences, 010104 statistics & probability, 03 medical and health sciences, feature selection, gene expression data, resampling, mcp, Resampling, Computer Science (miscellaneous), 0101 mathematics, lasso, Engineering (miscellaneous), high-throughput, 030304 developmental biology, 0303 health sciences, business.industry, lcsh:Mathematics, Regression analysis, Pattern recognition, Minimax, lcsh:QA1-939, elastic net, Regression, Artificial intelligence, scad, business, Scad

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::042330fa9fae6f12e608391fd3fac702Test
https://www.mdpi.com/2227-7390/8/1/110Test

المؤلفون: Jianqing Fan, Jinchi Lv

المساهمون: The Pennsylvania State University CiteSeerX Archives

المصدر: http://orfe.princeton.edu/~jqfan/papers/06/SIS.pdfTest.

مصطلحات موضوعية: Variable selection, dimensionality reduction, SIS, sure screening, oracle estimator, SCAD, Dantzig selector, Lasso, adaptive Lasso

وصف الملف: application/pdf

العلاقة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.310.3943Test; http://orfe.princeton.edu/~jqfan/papers/06/SIS.pdfTest

الإتاحة: http://orfe.princeton.edu/~jqfan/papers/06/SIS.pdfTest

المؤلفون: Jianqing Fan, Jinchi Lv

المساهمون: The Pennsylvania State University CiteSeerX Archives

المصدر: http://www.maths.lancs.ac.uk/~wite/RSS/0708/FanLv-Apr08.pdfTest.

مصطلحات موضوعية: Variable selection, dimensionality reduction, SIS, sure screening, oracle estimator, SCAD, Dantzig selector, Lasso, adaptive Lasso

وصف الملف: application/pdf

العلاقة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.133.4944Test; http://www.maths.lancs.ac.uk/~wite/RSS/0708/FanLv-Apr08.pdfTest

الإتاحة: http://www.maths.lancs.ac.uk/~wite/RSS/0708/FanLv-Apr08.pdfTest

المؤلفون: Fu, Liya, Wang, You Gan

المصدر: Statistical Methods in Medical Research

مصطلحات موضوعية: Adaptive lasso, longitudinal data, robust, SCAD, variable selection

العلاقة: Fu, Liya & Wang, You Gan (2018) Variable selection in rank regression for analyzing longitudinal data. Statistical Methods in Medical Research, 27(8), pp. 2447-2458.; https://eprints.qut.edu.au/197620Test/; Institute for Future Environments; Science & Engineering Faculty

الإتاحة: https://doi.org/10.1177/0962280216681347Test
https://eprints.qut.edu.au/197620Test/

المؤلفون: Singh, Arjunvir

المساهمون: Choi, Ji Yeh

مصطلحات موضوعية: Psychology, Statistics, Quantitative psychology, l1-penalty, Regularization, Bias-variance trade-off, Sparsity, Variable selection, Mediation, Lasso, SCAD, MCP, Adaptive lasso

وصف الملف: application/pdf

العلاقة: http://hdl.handle.net/10315/40732Test

الإتاحة: http://hdl.handle.net/10315/40732Test

المؤلفون: Arjunvir Singh

المساهمون: Ji Yeh Choi

مصطلحات موضوعية: Quantitative psychology and, l1-penalty, Regularization, Bias-Variance Trade-off, Sparsity, Variable selection, mediation, lasso, SCAD, MCP, adaptive lasso

وصف الملف: application/pdf

العلاقة: http://hdl.handle.net/10315/40507Test

الإتاحة: http://hdl.handle.net/10315/40507Test

المؤلفون: Byeong U. Park, Eun Ryung Lee

المصدر: Journal of Multivariate Analysis. 105(1):1-17

مصطلحات موضوعية: Polynomial regression, Statistics and Probability, Numerical Analysis, Proper linear model, Functional principal component analysis, SCAD, Penalized least squares regression, Linear model, Regression analysis, Adaptive LASSO, Functional data analysis, Karhunen–Loève expansion, Oracle properties, Linear predictor function, MCP, Econometrics, Applied mathematics, Log-linear model, Statistics, Probability and Uncertainty, Regression diagnostic, Sparsity, Variance function, Mathematics

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd4ac8187a8d363911784452f18e5dbbTest