Browsing Discussion papers of interdisciplinary research project 373 / Sonderforschungsbereich 373 by Author
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- Discussion papers of interdisciplinary research project 373 / Sonderforschungsbereich 373
- Browsing Discussion papers of interdisciplinary research project 373 / Sonderforschungsbereich 373 by Author
Browsing Discussion papers of interdisciplinary research project 373 / Sonderforschungsbereich 373 by Author "Mammen, Enno"
Now showing items 1-11 of 11
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2000-02-24BuchA Bootstrap Test for Single Index Models Härdle, Wolfgang Karl; Mammen, Enno; Proença, Isabel
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1997-07-30BuchBootstrap of kernel smoothing in nonlinear time series Franke, Jürgen; Kreiss, Jens-Peter; Mammen, EnnoKernel smoothing in nonparametric autoregressive schemes offers a powerful tool in modelling time series. In this paper it is shown that the bootstrap can be used for estimating the distribution of kernel smoothers. This ...
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1998-12-16BuchEstimating Yield Curves by Kernel Smoothing Methods Linton, Oliver; Mammen, Enno; Nielsen, Jens P.; Tanggaard, C.
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1999-01-14BuchEstimation in an additive model when the components are linked parametrically Carroll, Raymond J.; Härdle, Wolfgang Karl; Mammen, EnnoMotivated by a nonparametric GARCH model we consider nonparametric additive regression and autoregression models in the special case that the additive components are linked parametrically. We show that the parameter can ...
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2003-12-08BuchImplied Volatility String Dynamics Fengler, Matthias R.; Härdle, Wolfgang Karl; Mammen, EnnoA primary goal in modelling the dynamics of implied volatility surfaces (IVS) aims at reducing complexity. For this purpose one fits the IVS each day and applies a principal component analysis using a functional norm. This ...
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2005-10-12BuchNonparametric Estimation of an Additive Model with a Link Function Horowitz, Joel L.; Mammen, EnnoThis paper describes an estimator of the additive components of a nonparametric additive model with a known link function. When the additive components are twice continuously differentiable, the estimator is asymptotically ...
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1997-08-01BuchOn Estimation of Monotone and Concave Frontier Functions Gijbels, I.; Mammen, Enno; Park, Byeong U.; Simar, LéopoldWhen analyzing the productivity of firms, one may want to compare how the firms transform a set of inputs x (typically labor, energy or capital) into an output y (typically a quantity of goods produced). The economic ...
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2007-02-21BuchPenalized quasi-likelihood estimation in partial linear models Mammen, Enno; Geer, Sara van de
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1998-07-02BuchProperties of the Nonparametric Autoregressive Bootstrap Franke, Jürgen; Kreiss, Jens-Peter; Mammen, Enno; Neumann, Michael H.We prove geometric ergodicity and absolute regularity of the nonparametric autoregressive bootstrap process. To this end, we revisit this problem for nonparametric autoregressive processes and give some quantitative ...
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1998-11-09BuchSemiparametric additive indices for binary response and generalized additive models Härdle, Wolfgang Karl; Huet, Sylvie; Mammen, Enno; Sperlich, StefanModels are studied where the response Y and covariates X, T are assumed to fulfill E(Y|X; T) = G{XT β + α + m1(T1) + … + md(Td)}. Here G is a known (link) function, β is an unknown parameter, and m1, …, md are unknown ...
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1998-01-19BuchSmooth discrimination analysis Mammen, Enno; Tsybakov, Aleksandr B.Discriminant analysis for two data sets in IRd with probability densities f and g can be based on the estimation of the set G = {x : f(x) ≥ g(x)}. We consider applications where it is appropriate to assume that the region ...