메뉴 건너뛰기




Volumn 1, Issue 4, 2009, Pages 251-259

Least angle regression and LASSO for large datasets

Author keywords

L1 penalty; LASSO; Massive datasets; Regression; Regularization; Scalable; Tall datasets

Indexed keywords

REGRESSION ANALYSIS;

EID: 62249204357     PISSN: 19321872     EISSN: 19321864     Source Type: Journal    
DOI: 10.1002/sam.10021     Document Type: Article
Times cited : (27)

References (15)
  • 2
    • 0001287271 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • R. Tibshirani, Regression shrinkage and selection via the lasso, J R Stat Soc Ser B 58 (1996), 267-288.
    • (1996) J R Stat Soc Ser B , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 8
    • 0004236492 scopus 로고    scopus 로고
    • 3rd ed, Baltimore, MD, USA, Johns Hopkins University Press
    • G. H. Golub and C. F. Van Loan, Matrix Computations, (3rd ed.), Baltimore, MD, USA, Johns Hopkins University Press, 1996.
    • (1996) Matrix Computations
    • Golub, G.H.1    Van Loan, C.F.2
  • 13
    • 34147190333 scopus 로고    scopus 로고
    • Regression analysis for massive datasets
    • T.-H. Fan, D. K. J. Lin, K.-F. Cheng, Regression analysis for massive datasets, Data Knowl Eng 61 (2007), 554-562.
    • (2007) Data Knowl Eng , vol.61 , pp. 554-562
    • Fan, T.-H.1    Lin, D.K.J.2    Cheng, K.-F.3
  • 14
    • 34548697522 scopus 로고    scopus 로고
    • Tests and variables selection for regression analysis for massive datasets
    • T.-H. Fan, K.-F. Cheng, Tests and variables selection for regression analysis for massive datasets, Data Knowl Eng 63 (2007), 809-817.
    • (2007) Data Knowl Eng , vol.63 , pp. 809-817
    • Fan, T.-H.1    Cheng, K.-F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.