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Volumn 340, Issue 11, 2005, Pages 851-854

Asymptotics for the smoothing cubic spline estimate in a longitudinal regression model with random process noise;Convergence de l'estimateur spline cubique de lissage dans un modèle de régression longitudinale avec erreur de type processus

(2) Degras, David a Jallet, Roxane a

a SORBONNE UNIVERSITÉ (France)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 19544379141 PISSN: 1631073X EISSN: None Source Type: Journal
DOI: 10.1016/j.crma.2005.04.011 Document Type: Article

Times cited : (2)

References (11)

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- Cardot, H.¹ Diack, C.A.T.²

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- Craven, P.¹ Wahba, G.²

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- London: Chapman and Hall
- P.J. Green B.W. Silverman Nonparametric Regression and Generalized Linear Models 1994 Chapman and Hall London
- (1994) Nonparametric Regression and Generalized Linear Models
- Green, P.J.¹ Silverman, B.W.²

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- Longitudinal data with nonstationnary errors: A nonparametric three-stages approach
- V. Nuñez-Anton J. Rodriguez-Poo P. Vieu Longitudinal data with nonstationnary errors: A nonparametric three-stages approach Test 8 1999 201-231
- (1999) Test , vol.8 , pp. 201-231
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7
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- Error bounds for derivatives estimates based on spline smoothing of exact or noisy data
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- Ragozin, D.L.¹

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- Spline functions and the problem of graduation
- I.J. Schoenberg Spline functions and the problem of graduation Proc. Nat. Acad. Sci. USA 52 4 1964 947-950
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- Schoenberg, I.J.¹

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- Spline smoothing and optimal rates of convergence in nonparametric regression models
- P. Speckman Spline smoothing and optimal rates of convergence in nonparametric regression models Ann. Statist. 13 3 1985 970-983
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11
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- Natural spline functions, their associated eigenvalue problem
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