المؤلفون: Xianwen Ding, Zhihuang Yang

المصدر: Mathematics, Vol 12, Iss 20, p 3284 (2024)

مصطلحات موضوعية: quantile regression, bi-level variable selection, adaptive bridge estimator, diverging parameters, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2227-7390/12/20/3284; https://doaj.org/toc/2227-7390

URL الوصول: https://doaj.org/article/df1563430a7040e68dc48c29c3b6101d

المؤلفون: Fei Zhou, Yuwen Liu, Jie Ren, Weiqun Wang, Cen Wu

المصدر: Frontiers in Genetics, Vol 14 (2023)

مصطلحات موضوعية: bi-level variable selection, gene–environment interaction, repeated measurements, generalized estimating equation, quadratic inference function, Genetics, QH426-470

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fgene.2023.1088223/full; https://doaj.org/toc/1664-8021

URL الوصول: https://doaj.org/article/6d2d29f8bc9a42d8b999a118feae5569

المؤلفون: Zhou, Fei, Liu, Yuwen, Ren, Jie, Wang, Weiqun, Wu, Cen

المساهمون: Biostatistics and Health Data Science, School of Medicine

المصدر: PMC

مصطلحات موضوعية: Bi-level variable selection, Gene–environment interaction, Repeated measurements, Generalized estimating equation, Quadratic inference function

وصف الملف: application/pdf

Relation: Frontiers in Genetics; Zhou F, Liu Y, Ren J, Wang W, Wu C. Springer: An R package for bi-level variable selection of high-dimensional longitudinal data. Front Genet. 2023;14:1088223. Published 2023 Apr 6. doi:10.3389/fgene.2023.1088223; https://hdl.handle.net/1805/37462

الاتاحة: https://hdl.handle.net/1805/37462

المؤلفون: Buch, G, Schulz, A, Schmidtmann, I, Strauch, K, Wild, P

المصدر: 67. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 13. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF); 20220821-20220825; sine loco [digital]; DOCAbstr. 54 /20220819/

مصطلحات موضوعية: Sparse group LASSO, Bi-level variable selection, Simulation study, ddc: 610

Relation: Breheny P, Huang J. Penalized methods for bi-level variable selection. Statistics and its interface. 2009;2(3):369.; Breheny P. The group exponential lasso for bi-level variable selection. Biometrics. 2015;71(3):731-40.; Fan J, Li R. Variable selection via nonconcave penalized likelihood and its oracle properties. Journal of the American statistical Association. 2001;96(456):1348-60.; Huang J, Ma S, Xie H, Zhang C-H. A group bridge approach for variable selection. Biometrika. 2009;96(2):339-55.; Simon N, Friedman J, Hastie T, Tibshirani R. A sparse-group lasso. Journal of Computational Graphical Statistics. 2013;22(2):231-45.; Tibshirani R. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society: Series B. 1996;58(1):267-88.; Yuan M, Lin Y. Model selection and estimation in regression with grouped variables. Journal of the Royal Statistical Society: Series B. 2006;68(1):49-67.; Zhang CH. Nearly unbiased variable selection under minimax concave penalty. The Annals of statistics. 2010;38(2):894-942.; http://dx.doi.org/10.3205/22gmds078; http://nbn-resolving.de/urn:nbn:de:0183-22gmds0783; http://www.egms.de/en/meetings/gmds2022/22gmds078.shtml

الاتاحة: https://doi.org/10.3205/22gmds078
http://nbn-resolving.de/urn:nbn:de:0183-22gmds0783
http://www.egms.de/en/meetings/gmds2022/22gmds078.shtml

المؤلفون: Fei Zhou, Yuwen Liu, Jie Ren, Weiqun Wang, Cen Wu

مصطلحات موضوعية: Genetics, Genetic Engineering, Biomarkers, Developmental Genetics (incl. Sex Determination), Epigenetics (incl. Genome Methylation and Epigenomics), Gene Expression (incl. Microarray and other genome-wide approaches), Genome Structure and Regulation, Genomics, Genetically Modified Animals, Livestock Cloning, Gene and Molecular Therapy, bi-level variable selection, gene–environment interaction, repeated measurements, generalized estimating equation, quadratic inference function

Relation: https://figshare.com/articles/dataset/DataSheet1_Springer_An_R_package_for_bi-level_variable_selection_of_high-dimensional_longitudinal_data_pdf/22565536

الاتاحة: https://doi.org/10.3389/fgene.2023.1088223.s001
https://figshare.com/articles/dataset/DataSheet1_Springer_An_R_package_for_bi-level_variable_selection_of_high-dimensional_longitudinal_data_pdf/22565536

المؤلفون: Seetharaman, Indu

مصطلحات موضوعية: Bi-level variable selection, High-dimensional data, Oracle property, Penalized regression, Sparse models, Statistics (0463)

الاتاحة: http://hdl.handle.net/2097/15980

المؤلفون: Zhong, Wenyan

مصطلحات موضوعية: bi-level variable selection, semiparametric transformation model, mixture cure rate model, group bridge, Education--Mathematics

الاتاحة: https://dx.doi.org/10.11575/prism/36134
https://prism.ucalgary.ca/handle/1880/109877

المؤلفون: Kung-Sik Chan, Eric A. Hoffman, Ching-Long Lin, Indu Seetharaman, Feiran Jiao, Kun Chen

المصدر: Ann. Appl. Stat. 10, no. 4 (2016), 1880-1906

مصطلحات موضوعية: Statistics and Probability, Computer science, Bi-level variable selection, lung airway data, Feature extraction, Population, Feature selection, pulmonary function tests, 01 natural sciences, Article, Pulmonary function testing, 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, medicine, 0101 mathematics, education, education.field_of_study, Lung, business.industry, feature extraction, Pattern recognition, respiratory system, Regression, respiratory tract diseases, medicine.anatomical_structure, 030228 respiratory system, Modeling and Simulation, Principal component analysis, Artificial intelligence, Statistics, Probability and Uncertainty, Airway, business, composite penalization

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d566b42ece596c0dc2f213ff7b82a60
https://doi.org/10.1214/16-aoas947

المؤلفون: Chen, Kun, Hoffman, Eric A., Seetharaman, Indu, Jiao, Feiran, Lin, Ching-Long, Chan, Kung-Sik

مصطلحات موضوعية: Bi-level variable selection, composite penalization, feature extraction, lung airway data, pulmonary function tests

وصف الملف: application/pdf

Relation: http://projecteuclid.org/euclid.aoas/1483606844; Ann. Appl. Stat. 10, no. 4 (2016), 1880-1906

الاتاحة: http://projecteuclid.org/euclid.aoas/1483606844
https://doi.org/10.1214/16-AOAS947

المؤلفون: Jiao, Feiran

Thesis Advisors: Chan, Kung-sik

المصدر: Theses and Dissertations.

مصطلحات موضوعية: bi-level variable selection, composite bridge penalty, cumulative link model, lung image data, MM algorithm, penalized maximum likelihood

وصف الملف: application/pdf

الاتاحة: https://ir.uiowa.edu/etd/6150
https://ir.uiowa.edu/cgi/viewcontent.cgi?article=7707&context=etd

المؤلفون: 张惠颖

المساهمون: 谢邦昌

المصدر: http://210.34.4.13:8080/lunwen/detail.asp?serial=50210.

مصطلحات موضوعية: 变量选择, 两级变量选择, Logistic模型, 蒙特卡罗模拟, 商户套用, Variable Selection, Bi-level Variable Selection, Logistic Model, Monte Carlo Simulation, Merchant Paraphrase

Relation: http://210.34.4.28/opac/openlink.php?strText=46715&doctype=ALL&strSearchType=callno; http://dspace.xmu.edu.cn/handle/2288/96492

الاتاحة: http://dspace.xmu.edu.cn/handle/2288/96492

المؤلفون: Seetharaman, Indu

مصطلحات موضوعية: Bi-level variable selection, High-dimensional data, Oracle property, Penalized regression, Sparse models, Statistics (0463), stat, manag

Relation: http://hdl.handle.net/2097/15980

الاتاحة: http://hdl.handle.net/2097/15980

المؤلفون: Seetharaman, Indu

مصطلحات موضوعية: Bi-level variable selection, High-dimensional data, Oracle property, Penalized regression, Sparse models, Statistics (0463)

وصف الملف: application/pdf

Relation: http://hdl.handle.net/2097/15980

الاتاحة: http://hdl.handle.net/2097/15980