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Volumn 152, Issue 2, 2009, Pages 179-185

Quantiles, expectiles and splines

Author keywords

Asymmetric least squares; Cubic splines; Quantile regression; Signal extraction; State space smoother

Indexed keywords

ASYMMETRIC LEAST SQUARES; CUBIC SPLINES; QUANTILE REGRESSION; SIGNAL EXTRACTION; STATE SPACE SMOOTHER;

EID: 68949197593     PISSN: 03044076     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jeconom.2009.01.001     Document Type: Article
Times cited : (86)

References (15)
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    • Signal extraction and the formulation of unobserved components models
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    • Harvey, A.C.1    Koopman, S.J.2
  • 9
    • 84925105967 scopus 로고    scopus 로고
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    • Koenker R. Quantile Regression (2005), Cambridge University Press, Cambridge
    • (2005) Quantile Regression
    • Koenker, R.1
  • 10
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    • Nonparametric spline regression with autoregressive moving average errors
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    • (1992) Biometrika , vol.79 , pp. 335-346
    • Kohn, R.1    Ansley, C.F.2    Wong, C.-H.3
  • 11
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    • Statistical algorithms for models in state space using SsfPack 2.2
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    • Koopman, S.J.1    Shephard, N.2    Doornik, J.3
  • 12
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    • Asymmetric least squares estimation and testing
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    • Newey, W.K.1    Powell, J.L.2
  • 14
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    • Some aspects of the spline smoothing approach to non-parametric regression curve fitting
    • Silverman B.W. Some aspects of the spline smoothing approach to non-parametric regression curve fitting. Journal of the Royal Statistical Society B 47 (1985) 1-52
    • (1985) Journal of the Royal Statistical Society B , vol.47 , pp. 1-52
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  • 15
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    • Improper priors, spline smoothing and the problem of guarding against model errors in regression
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.