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Partial smoothing splines for noisy +boundaries with cornersMEI-HSING CHEN; CHIN, R. T.IEEE transactions on pattern analysis and machine intelligence. 1993, Vol 15, Num 11, pp 1208-1216, issn 0162-8828Article

Selection of smoothing parameter estimators for general regression neural networks — Applications to hydrological and water resources modellingXUYUAN LI; ZECCHIN, Aaron C; MAIER, Holger R et al.Environmental modelling & software. 2014, Vol 59, pp 162-186, issn 1364-8152, 25 p.Article

Data-driven local bandwidth selection for additive models with missing dataRAYA-MIRANDA, R; MARTINEZ-MIRANDA, M. D.Applied mathematics and computation. 2011, Vol 217, Num 24, pp 10328-10342, issn 0096-3003, 15 p.Article

A bound on the expected maximal deviation of averages from their meansHAMERS, Michael; KOHLER, Michael.Statistics & probability letters. 2003, Vol 62, Num 2, pp 137-144, issn 0167-7152, 8 p.Article

A variable bandwidth selector in multivariate kernel density estimationWU, Tiee-Jian; CHEN, Ching-Fu; CHEN, Huang-Yu et al.Statistics & probability letters. 2007, Vol 77, Num 4, pp 462-467, issn 0167-7152, 6 p.Article

Nonlinear regression modeling via regularized wavelets and smoothing parameter selectionFUJII, Toru; KONISHI, Sadanori.Journal of multivariate analysis. 2006, Vol 97, Num 9, pp 2023-2033, issn 0047-259X, 11 p.Article

Régression non-paramétrique fonctionnelle : Expressions asymptotiques des momentsDELSOL, Laurent.Annales de l'ISUP. 2007, Vol 51, Num 3, pp 43-67, issn 1626-1607, 25 p.Article

Data-driven discontinuity detection in derivatives of a regression functionGIJBELS, I; GODERNIAUX, A.-C.Communications in statistics. Theory and methods. 2004, Vol 33, Num 4, pp 851-871, issn 0361-0926, 21 p.Article

Une mise en œuvre d'estimateurs non paramétriques d'une fonction d'intensité sur les données météorologiques = The use of nonparametric estimators of an intensity function, applied to meteorogical dataMONCAUP, S; SARDA, P; VIEU, P et al.Revue de statistique appliquée. 1995, Vol 43, Num 4, pp 77-88, issn 0035-175XArticle

Asymptotic stability of the oscv smoothing parameter selectionYI, Seongbaek.Communications in statistics. Theory and methods. 2001, Vol 30, Num 10, pp 2033-2044, issn 0361-0926Article

Testing for polynomial regression using nonparametric regression techniquesJAYASURIYA, B. R.Journal of the American Statistical Association. 1996, Vol 91, Num 436, pp 1626-1631, issn 0162-1459Article

Structural damage localization using probabilistic neural networksPENG LI.Mathematical and computer modelling. 2011, Vol 54, Num 3-4, pp 965-969, issn 0895-7177, 5 p.Article

SiZer analysis for the comparison of regression curvesPARK, Cheolwoo; KANG, Kee-Hoon.Computational statistics & data analysis. 2008, Vol 52, Num 8, pp 3954-3970, issn 0167-9473, 17 p.Article

Approximate interpolation with applications to selecting smoothing parametersWENDLAND, Holger; RIEGER, Christian.Numerische Mathematik. 2005, Vol 101, Num 4, pp 729-748, issn 0029-599X, 20 p.Article

Sélection automatique du paramètre de lissage pour l'estimation non paramétrique de la régression pour des données fonctionnelles = Automatic smoothing parameter selection for the nonparametric regression estimation of functional dataRACHDI, Mustapha; VIEU, Philippe.Comptes rendus. Mathématique. 2005, Vol 341, Num 6, pp 365-368, issn 1631-073X, 4 p.Article

Estimating a density by adapting an initial guessALBERS, C. J; SCHAAFSMA, W.Computational statistics & data analysis. 2003, Vol 42, Num 1-2, pp 27-36, issn 0167-9473, 10 p.Article

Comparison of smoothing parameterizations in bivariate kernel density estimationWAND, M. P; JONES, M. C.Journal of the American Statistical Association. 1993, Vol 88, Num 422, pp 520-528, issn 0162-1459Article

On a generalization of the Laplace approximationNOTT, David J; FIELDING, Mark; LEONTE, Daniela et al.Statistics & probability letters. 2009, Vol 79, Num 11, pp 1397-1403, issn 0167-7152, 7 p.Article

Fast generalized cross-validation algorithm for sparse model learningSUNDARARAJAN, S; SHEVADE, Shirish; SATHIYA KEERTHI, S et al.Neural computation. 2007, Vol 19, Num 1, pp 283-301, issn 0899-7667, 19 p.Article

An efficient 1D Occam's inversion algorithm using analytically computed first- and second-order derivatives for DC resistivity soundingsVEDANTI, Nimisha; SRIVASTAVA, Ravi P; SAGODE, John et al.Computers & geosciences. 2005, Vol 31, Num 3, pp 319-328, issn 0098-3004, 10 p.Article

Bootstrap selection of the smoothing parameter in nonparametric hazard rate estimationGONZALEZ-MANTEIGA, W; CAO, R; MARRON, J. S et al.Journal of the American Statistical Association. 1996, Vol 91, Num 435, pp 1130-1140, issn 0162-1459Article

A bandwidth selector for local linear density estimatorsCHENG, M.-Y.Annals of statistics. 1997, Vol 25, Num 3, pp 1001-1013, issn 0090-5364Article

Smoothing parameter selection for power optimality in testing of regression curvesKULASEKERA, K. B; WANG, J.Journal of the American Statistical Association. 1997, Vol 92, Num 438, pp 500-511, issn 0162-1459Article

Choix optimal du paramètre de lissage pour les U-statistiques conditionnelles = Optimal bandwidth selection for conditional U-statisticsAREZKI, Lynda; LOUANI, Djamal.Comptes rendus. Mathématique. 2010, Vol 348, Num 19-20, pp 1115-1118, issn 1631-073X, 4 p.Article

A semiparametric model for line transect samplingEIDOUS, Omar.Communications in statistics. Theory and methods. 2006, Vol 35, Num 7-9, pp 1211-1221, issn 0361-0926, 11 p.Article

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