A note on the consistent estimator of nonparametric regression constructed by splines
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Publication:1203984
DOI10.1016/0898-1221(92)90032-DzbMath0758.62023MaRDI QIDQ1203984
Publication date: 22 February 1993
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
strong law of large numberscentral limit theoremconsistent estimatornonparametric regressionspline functions
Density estimation (62G07) Numerical computation using splines (65D07) Asymptotic properties of nonparametric inference (62G20)
Cites Work
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- Probability inequalities for empirical processes and a law of the iterated logarithm
- Mathematical aspects of scientific software (in part the proceedings of a workshop which was an integral part of the 1986--87 IMA program on scientific computation)
- Central limit theorems for empirical measures
- On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
- Convergence of stochastic processes
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