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Communications in Statistics - Simulation and Computation Volume 28, 1999 - Issue 2
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Original Articles

Sequential adaptive nonparametric regression via h-splines

Ronaldo Dias Departamento de Estatística, IMECC, Universidade Estadual de Campinas, Sao Paulo, Brasil E-mail: [email protected]
Pages 501-515 | Received 01 Sep 1996, Published online: 27 Jun 2007

Citations (7)

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Read on this site (2)

Ronaldo Dias, Nancy L. Garcia, Guilherme Ludwig & Marley A. Saraiva. (2015) Aggregated functional data model for near-infrared spectroscopy calibration and prediction. Journal of Applied Statistics 42:1, pages 127-143.
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Ronaldo Dias & Dani Gamerman. (2002) A Bayesian Approach to Hybrid Splines Non-Parametric Regression. Journal of Statistical Computation and Simulation 72:4, pages 285-297.
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Articles from other publishers (5)

Larissa C. Alves, Ronaldo Dias & Helio S. Migon. (2024) Variational Bayesian Lasso for spline regression. Computational Statistics 39:4, pages 2039-2064.
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Matthew Avery, Yichao Wu, Hao Helen Zhang & Jiajia Zhang. (2014) RKHS‐based functional nonparametric regression for sparse and irregular longitudinal data. Canadian Journal of Statistics 42:2, pages 204-216.
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Ronaldo Dias, Nancy L. Garcia & Adriano Z. Zambom. (2008) A penalized nonparametric method for nonlinear constrained optimization based on noisy data. Computational Optimization and Applications 45:3, pages 521-541.
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Ronaldo Dias, Clécio S. Ferreira & Nancy L. Garcia. (2007) Penalized maximum likelihood estimation for a function of the intensity of a Poisson point process. Statistical Inference for Stochastic Processes 11:1, pages 11-34.
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W. Scott StreetIVIV, Don Edwards, Robert J. Feller, Bruce C. Coull & Stephen E. Stancyk. (2003) Mixed‐model splines for environmental time series. Environmetrics 14:7, pages 641-649.
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