Exploring Time Series Using Semi- and Nonparametric Methods

Author:

Tjøstheim Dag

Publisher

Physica-Verlag HD

Reference34 articles.

1. Akaike, H. (1969) Fitting autoregressions for predictions. Ann. Inst. Statistist. Math., 21, 243–247.

2. An, H-Z. & Cheng, B. (1990). A Kolmogorov — Smirnov type statistic with application to test for normality in time series. Inter. Stat. Rev., 59, 287–307.

3. Auestad, B. & Tjøstheim, D. (1991). Functional identification in nonlinear time series. In: Nonparametric Functional Estimation and Related Topics (ed. G. Roussa), 493–507. Amsterdam: Kluwer Academic.

4. Brock, W.A., Dechert, W.D. & Scheinkman, J.A. (1987). A test for independence based on the correlation dimension. Preprint, Department of Economics, University of Wisconsin.

5. Fan, J. & Gijbels, I. (1995). Local Polynomial Modeling and Its Application. Theory and Methodologies. London: Chapman and Hall.

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