Jan Beran () (Department of Mathematics and Statistics, University of Konstanz) Yuanhua.Feng () (Department of Mathematics and Statistics, University of Konstanz)
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In this paper data-driven algorithms for fitting SEMIFAR models (Beran, 1999) are proposed. The algorithms combine the data-driven estimation of the nonparamet- ric trend and maximum likelihood estimation of the parameters. Convergence and asymptotic properties of the proposed algorithms are investigated. A large simulation study illustrates the practical performance of the methods.
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Paper provided by Center of Finance and Econometrics, University of Konstanz in its series CoFE Discussion Paper with number
01-11.
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