Smooth backfitting in additive inverse regression

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Discussion Paper / SFB 823 ; 37/2013

Classification: Mathematik

Event: Veröffentlichung

(where): Dortmund

(who): Universitätsbibliothek Dortmund

(when): 2013

Creator: Bissantz, Nicolai
Dette, Holger
Hildebrandt, Thimo

Handle: 2003/31093

URN: urn:nbn:de:101:1-201607224993

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:43 PM CET

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Bissantz, Nicolai
Dette, Holger
Hildebrandt, Thimo
Universitätsbibliothek Dortmund

Time of origin

2013

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Strictly monotone and smooth nonparametric regression for two or more variables

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The empirical process of residuals from an inverse regression

Scale checks in censored regression

Optimal designs for rational regression models

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Smooth backfitting in additive inverse regression

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Other Objects (12)

Additive inverse regression models with convolution-type operators

Optimal experimental designs for inverse quadratic regression models

Strictly monotone and smooth nonparametric regression for two or more variables

Locally E-Optimal Designs for Exponential Regression Models

Confidence bands for multivariate and time dependent inverse regression models

Model checks in inverse regression models with convolution-type operators

Optimale Versuchspläne für mehrere konkurrierende Polynom-Modelle bei einer gegebenen a-priori-Gewichtung

Detecting smooth changes in locally stationary processes

The empirical process of residuals from an inverse regression

Scale checks in censored regression

Optimal designs for rational regression models

Optimal designs for quantile regression models

Additive inverse regression models with convolution-type operators

Optimal experimental designs for inverse quadratic regression models

Strictly monotone and smooth nonparametric regression for two or more variables

Locally E-Optimal Designs for Exponential Regression Models

Confidence bands for multivariate and time dependent inverse regression models

Model checks in inverse regression models with convolution-type operators

Optimale Versuchspläne für mehrere konkurrierende Polynom-Modelle bei einer gegebenen a-priori-Gewichtung

Detecting smooth changes in locally stationary processes

The empirical process of residuals from an inverse regression

Scale checks in censored regression

Optimal designs for rational regression models

Optimal designs for quantile regression models

Additive inverse regression models with convolution-type operators

Optimal experimental designs for inverse quadratic regression models

Strictly monotone and smooth nonparametric regression for two or more variables

Locally E-Optimal Designs for Exponential Regression Models

Confidence bands for multivariate and time dependent inverse regression models

Model checks in inverse regression models with convolution-type operators

Optimale Versuchspläne für mehrere konkurrierende Polynom-Modelle bei einer gegebenen a-priori-Gewichtung

Detecting smooth changes in locally stationary processes

The empirical process of residuals from an inverse regression

Scale checks in censored regression

Optimal designs for rational regression models

Optimal designs for quantile regression models

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