Kernel method to estimate nonlinear structural equation models

Author:

Ouazza AhmedORCID,Rhomari Noureddine,Zarrouk Zoubir

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,Statistics and Probability

Reference27 articles.

1. Bollen, K.: Structural equations with latent variables. Wiley, New York (1989)

2. Bowman, A. W., Azzalini, A.: Applied smoothing techniques for data analysis: the kernel approach with S-PLUS illustrations, volume 18. OUP Oxford (1997)

3. Dempster, A. P., Laird, N. M., Rubin, D. B.: Maximum likelihood from incomplete data via the EM algorithm. J. Royal Stat. Soc. Ser. B (methodological), pages 1–38 (1977)

4. Györfi, L., Kohler, M., Krzyzak, A., Walk, H.: A distribution-free theory of nonparametric regression. Springer, New York, Berlin (2002)

5. Hastie, T.J., Tibshirani, R.J.: Generalized additive models. Chapman & Hall, London (1990)

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