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Browsing by Author "Čížek, Pavel"
Now showing items 1-10 of 10
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2005-03-01BuchImplied Trinomial Trees Čížek, Pavel; Komorád, KarelImplied trinomial trees (ITTs) present an analogous extension of trinomial trees proposed by Derman, Kani, and Chriss (1996). Like their binomial counterparts, they can fit the market volatility smile and actually converge ...
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2005-09-29BuchLeast Trimmed Squares Čížek, Pavel; Víšek, Jan Ámos
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1999-10-13BuchQuantile regression Čížek, Pavel
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2005-10-12BuchRobust adaptive estimation of dimension reduction space Čížek, Pavel; Härdle, Wolfgang KarlMost dimension reduction methods based on nonparametric smoothing are highly sensitive to outliers and to data coming from heavy tailed distributions. We show that the recently proposed MAVE and OPG methods by Xia et al. ...
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2006-06-30BuchRobust Econometrics Čížek, Pavel; Härdle, Wolfgang KarlEconometrics often deals with data under, from the statistical point of view, non-standard conditions such as heteroscedasticity or measurement errors and the estimation methods need thus be either adopted to such conditions ...
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2001-12-13BuchRobust Estimation in Nonlinear Regression and Limited Dependent Variable Models Čížek, Pavel
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2001-10-21BuchRobust Estimation in Nonlinear Regression Models Čížek, Pavel
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2005-03-24BuchRobust Estimation of Dimension Reduction Space Čížek, Pavel; Härdle, Wolfgang KarlMost dimension reduction methods based on nonparametric smoothing are highly sensitive to outliers and to data coming from heavy-tailed distributions. We show that the recently proposed methods by Xia et al. (2002) can be ...
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2002-10-11BuchRobust Estimation with Discrete Explanatory Variables Čížek, Pavel
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2005-10-12BuchSmoothed L-Estimation of Regression Function Tamine, Julien; Čížek, Pavel; Härdle, Wolfgang KarlThe Nadaraya-Watson estimator of regression is known to be highly sensitive to the presence of outliers in the sample. A possible way of robustication consists in using local L-estimates of regression. Whereas the local ...