메뉴 건너뛰기




Volumn , Issue , 2011, Pages

Learning Auto-regressive models from sequence and non-sequence data

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEAST SQUARES APPROXIMATIONS; LYAPUNOV FUNCTIONS; TIME SERIES ANALYSIS; VALUE ENGINEERING;

EID: 85162392718     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (20)
  • 2
    • 0003713964 scopus 로고    scopus 로고
    • Athena Scientific, Belmont, MA 02178-9998, second edition
    • D. P. Bertsekas. Nonlinear Programming. Athena Scientific, Belmont, MA 02178-9998, second edition, 1999.
    • (1999) Nonlinear Programming
    • Bertsekas, D.P.1
  • 10
    • 0041841552 scopus 로고    scopus 로고
    • Improved estimation of the covariance matrix of stock returns with an application to portfolio selection
    • O. Ledoit and M. Wolf. Improved estimation of the covariance matrix of stock returns with an application to portfolio selection. Journal of Empirical Finance, 10:603-621, 2003.
    • (2003) Journal of Empirical Finance , vol.10 , pp. 603-621
    • Ledoit, O.1    Wolf, M.2
  • 11
    • 0346961488 scopus 로고    scopus 로고
    • A well-conditioned estimator for large-dimensional covariance matrices
    • O. Ledoit and M. Wolf. A well-conditioned estimator for large-dimensional covariance matrices. Journal of Multivariate Analysis, 88:365-411, 2004.
    • (2004) Journal of Multivariate Analysis , vol.88 , pp. 365-411
    • Ledoit, O.1    Wolf, M.2
  • 12
    • 66349115724 scopus 로고    scopus 로고
    • Grouped graphical granger modeling for gene expression regulatory networks discovery
    • A. Lozano, N. Abe, Y. Liu, and S. Rosset. Grouped graphical granger modeling for gene expression regulatory networks discovery. Bioinformatics, 25(12):i110, 2009.
    • (2009) Bioinformatics , vol.25 , Issue.12
    • Lozano, A.1    Abe, N.2    Liu, Y.3    Rosset, S.4
  • 14
    • 80054936825 scopus 로고    scopus 로고
    • A proximity control algorithm to minimize nonsmooth and nonconvex functions
    • D. Noll, O. Prot, and A. Rondepierre. A proximity control algorithm to minimize nonsmooth and nonconvex functions. Pacific Journal of Optimization, 4(3):569-602, 2008.
    • (2008) Pacific Journal of Optimization , vol.4 , Issue.3 , pp. 569-602
    • Noll, D.1    Prot, O.2    Rondepierre, A.3
  • 15
    • 27844521293 scopus 로고    scopus 로고
    • A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics
    • J. Schäfer and K. Strimmer. A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics. Statistical Applications in Genetics and Molecular Biology, 4, 2005.
    • (2005) Statistical Applications in Genetics and Molecular Biology , vol.4
    • Schäfer, J.1    Strimmer, K.2
  • 19
    • 27944487902 scopus 로고    scopus 로고
    • Logic of the yeast metabolic cycle: Temporal compartmentalization of cellular processes
    • B. P. Tu, A. Kudlicki, M. Rowicka, and S. L. McKnight. Logic of the yeast metabolic cycle: Temporal compartmentalization of cellular processes. Science, 310(5751):1152-1158, 2005.
    • (2005) Science , vol.310 , Issue.5751 , pp. 1152-1158
    • Tu, B.P.1    Kudlicki, A.2    Rowicka, M.3    McKnight, S.L.4
  • 20
    • 21844496542 scopus 로고
    • Estimation of a covariance matrix using the reference prior
    • R. Yang and J. O. Berger. Estimation of a covariance matrix using the reference prior. Annals of Statistics, 22:1195-1211, 1994.
    • (1994) Annals of Statistics , vol.22 , pp. 1195-1211
    • Yang, R.1    Berger, J.O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.