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  • Search: subject:"kernel estimate"
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Year of publication
Subject
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kernel estimate 7 Additive approximation 3 Density estimation 3 asymptotic optimality 3 asymptotic theory 3 conditional autoregression 3 convergence 3 local linear kernel estimate 3 marginal integration 3 quantile autoregression 3 semiparametric regression 3 spatial mixing process 3 time series 3 uniform consistency 3 value-at-risk 3 Conditional quantile 2 Kernel estimate 2 bootstrap 2 single index model 2 smoothing factor 2 specification test 2 Brownian Local time 1 Cointegration 1 Descriptive statistics 1 Estimation theory 1 Functional regression 1 Gaussian process 1 Integrated process 1 Nichtparametrisches Verfahren 1 Nonlinear functional 1 Nonparametric regression 1 Nonparametric statistics 1 Regression analysis 1 Regressionsanalyse 1 Risikomaß 1 Risk measure 1 Schätztheorie 1 Structural estimation 1 Time series analysis 1 Unit root 1
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Online availability
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Free 13
Type of publication
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Book / Working Paper 13
Type of publication (narrower categories)
All
Working Paper 3 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 8 Undetermined 5
Author
All
Devroye, Luc 3 Gao, Jiti 3 Lu, Zudi 3 Lugosi, Gábor 3 Mwita, Peter 3 Tjostheim, Dag 3 Wang, Weining 3 Franke, Jürgen 2 Härdle, Wolfgang 2 Mammen, Enno 2 Phillips, Peter C.B. 2 Proença, Isabel 2 Franke, Jürgen E. 1 Udina, Frederic 1 Wang, Qiying 1
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Institution
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Department of Economics and Business, Universitat Pompeu Fabra 3 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 3 Cowles Foundation for Research in Economics, Yale University 2 Sonderforschungsbereich 373, Quantifikation und Simulation ökonomischer Prozesse, Wirtschaftswissenschaftliche Fakultät 1 Sonderforschungsbereich 649: Ökonomisches Risiko, Wirtschaftswissenschaftliche Fakultät 1
Published in...
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Economics Working Papers / Department of Economics and Business, Universitat Pompeu Fabra 3 MPRA Paper 3 Cowles Foundation Discussion Papers 2 SFB 373 Discussion Paper 1 SFB 373 Discussion Papers 1 SFB 649 Discussion Paper 1 SFB 649 Discussion Papers 1 SFB 649 discussion paper 1
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Source
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RePEc 10 EconStor 2 ECONIS (ZBW) 1
Showing 1 - 10 of 13
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Nonparametric estimates for conditional quantiles of time series
Franke, Jürgen; Mwita, Peter; Wang, Weining - 2014
kernel estimate of the conditional distribution function, and we prove its asymptotic normality and uni- form strong …
Persistent link: https://www.econbiz.de/10010333207
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Nonparametric Estimates for Conditional Quantiles of Time Series
Franke, Jürgen; Mwita, Peter; Wang, Weining - Sonderforschungsbereich 649: Ökonomisches Risiko, … - 2014
kernel estimate of the conditional distribution function, and we prove its asymptotic normality and uni- form strong …
Persistent link: https://www.econbiz.de/10011118447
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Cover Image
Nonparametric estimates for conditional quantiles of time series
Franke, Jürgen E.; Mwita, Peter; Wang, Weining - 2014
kernel estimate of the conditional distribution function, and we prove its asymptotic normality and uni- form strong …
Persistent link: https://www.econbiz.de/10010238365
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Structural Nonparametric Cointegrating Regression
Wang, Qiying; Phillips, Peter C.B. - Cowles Foundation for Research in Economics, Yale University - 2008
Nonparametric estimation of a structural cointegrating regression model is studied. As in the standard linear cointegrating regression model, the regressor and the dependent variable are jointly dependent and contemporaneously correlated. In nonparametric estimation problems, joint dependence is...
Persistent link: https://www.econbiz.de/10005593511
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Estimation in semiparametric spatial regression
Gao, Jiti; Lu, Zudi; Tjostheim, Dag - Volkswirtschaftliche Fakultät, … - 2003
Nonparametric methods have been very popular in the last couple of decades in time series and regression, but no such development has taken place for spatial models. A rather obvious reason for this is the curse of dimensionality. For spatial data on a grid evaluating the conditional mean given...
Persistent link: https://www.econbiz.de/10005836984
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Estimation in semiparametric spatial regression
Gao, Jiti; Lu, Zudi; Tjostheim, Dag - Volkswirtschaftliche Fakultät, … - 2003
Nonparametric methods have been very popular in the last couple of decades in time series and regression, but no such development has taken place for spatial models. A rather obvious reason for this is the curse of dimensionality. For spatial data on a grid evaluating the conditional mean given...
Persistent link: https://www.econbiz.de/10005260174
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Semiparametric spatial regression: theory and practice
Gao, Jiti; Lu, Zudi; Tjostheim, Dag - Volkswirtschaftliche Fakultät, … - 2003
Nonparametric methods have been very popular in the last couple of decades in time series and regression, but no such development has taken place for spatial models. A rather obvious reason for this is the curse of dimensionality. For spatial data on a grid evaluating the conditional mean given...
Persistent link: https://www.econbiz.de/10005260199
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A bootstrap test for single index models
Härdle, Wolfgang; Mammen, Enno; Proença, Isabel - 2000
Single index models are frequently used in econometrics and biometrics. Logit and Probit models are special cases with fixed link functions. In this paper we consider a bootstrap specification test that detects nonparametric deviations of the link function. The bootstrap is used with the aim to...
Persistent link: https://www.econbiz.de/10010310223
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A bootstrap test for single index models
Härdle, Wolfgang; Mammen, Enno; Proença, Isabel - Sonderforschungsbereich 373, Quantifikation und … - 2000
Single index models are frequently used in econometrics and biometrics. Logit and Probit models are special cases with fixed link functions. In this paper we consider a bootstrap specification test that detects nonparametric deviations of the link function. The bootstrap is used with the aim to...
Persistent link: https://www.econbiz.de/10010983857
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Descriptive Econometrics for Nonstationary Time Series with Empirical Illustrations
Phillips, Peter C.B. - Cowles Foundation for Research in Economics, Yale University - 1999
Recent work by the author on methods of spatial density analysis for time series data with stochastic trends is reviewed and extended. The methods are illustrated in some empirical applications and simulations. The empirical applications include macroeconomic data on inflation, financial data on...
Persistent link: https://www.econbiz.de/10005593349
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