Optimal Fit in Non-Parametric Modelling Via Computationally Intensive Inference

Author:

Abrahamowicz M.,Ciampi A.

Publisher

Physica-Verlag HD

Reference10 articles.

1. Abrahamowicz, M.; Ciampi, A; & Ramsay, J.O. (1989). Survival analysis using regression splines. I: cubic M-spline density algorithm for density estimation. McGill University, Mathematics & Statistics Dept.; Report 89-32.

2. Abrahamowicz, M. & Ciampi, A. (1990). Informatic theoretic criteria in non-parametric density estimation: bias and variance in the infinite dimensional case. (Computational Statistics and Data Analysis — In Press).

3. Akaike, H. (1974) A new look at the statistical model identification. IEEE Trans, on Automatic Control, AC-19, 716–723

4. Etezadi-Amoli, J. & Ciampi, A. (1987). Extended hazard regression for censored survival data with covariates: a spline approximation for the baseline hazard function. Biometrics, 43: 181–92.

5. Ramsay, J.O. (1988). Monotone regression splines in action (with discussion). Statistical Science, 3: 425–61.

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