UB Paderborn / Katalog / Suche / in CDI

Detecting relevant changes in time series models

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2016-03, Vol.78 (2), p.371-394

2016

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Quantile spectral analysis for locally stationary time series

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2017-11, Vol.79 (5), p.1619-1643

2017

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Reproducing Kernel Hilbert Spaces, Polynomials, and the Classical Moment Problem

SIAM/ASA journal on uncertainty quantification, 2021-01, Vol.9 (4), p.1589-1614

2021

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Efficient sampling in materials simulation - Exploring the parameter space of grain boundaries

Acta materialia, 2017-02, Vol.125, p.145-155

2017

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Practical considerations for optimal designs in clinical dose finding studies

Statistics in medicine, 2010-03, Vol.29 (7-8), p.731-742

2010

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Confidence bands for multivariate and time dependent inverse regression models

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2015-02, Vol.21 (1), p.144-175

2015

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Model checks for the volatility under microstructure noise

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2012-11, Vol.18 (4), p.1421-1447

2012

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A Consistent Test for the Functional Form of a Regression Based on a Difference of Variance Estimators

The Annals of statistics, 1999-06, Vol.27 (3), p.1012-1040

Dette, Holger

1999

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Nonparametric Comparison of Regression Curves: An Empirical Process Approach

The Annals of statistics, 2003-06, Vol.31 (3), p.880-920

2003

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Testing the parametric form of the volatility in continuous time diffusion models—a stochastic process approach

Econometrics, 2008-03, Vol.143 (1), p.56-73

2008

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Of copulas, quantiles, ranks and spectra: An $L_{1}$-approach to spectral analysis

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2015-05, Vol.21 (2)

2015

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Optimal Designs for Estimating the Interesting Part of a Dose-Effect Curve

Journal of biopharmaceutical statistics, 2007-11, Vol.17 (6), p.1097-1115

2007

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A note on testing the covariance matrix for large dimension

Statistics & probability letters, 2005-10, Vol.74 (3), p.281-289

2005

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Some Comments on Quasi-Birth-and-Death Processes and Matrix Measures

Journal of Probability and Statistics, 2010-01, Vol.2010 (1)

2010

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A general approach to -optimal designs for weighted univariate polynomial regression models

Journal of the Korean Statistical Society, 2010-03, Vol.39 (1), p.1-26

2010

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Constrained $D$- and $D_1$-optimal designs for polynomial regression

The Annals of statistics, 2000-12, Vol.28 (6), p.1702-1727

2000

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Discrimination Designs for Polynomial Regression on Compact Intervals

The Annals of statistics, 1994-06, Vol.22 (2), p.890-903

Dette, Holger

1994

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Optimal Designs When the Variance Is A Function of the Mean

Biometrics, 1999-09, Vol.55 (3), p.925-929

1999

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Optimality criteria for regression models based on predicted variance

Biometrika, 1999-03, Vol.86 (1), p.93-106

1999

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Detecting relevant changes in time series models

Quantile spectral analysis for locally stationary time series

Reproducing Kernel Hilbert Spaces, Polynomials, and the Classical Moment Problem

Efficient sampling in materials simulation - Exploring the parameter space of grain boundaries

Practical considerations for optimal designs in clinical dose finding studies

Confidence bands for multivariate and time dependent inverse regression models

Model checks for the volatility under microstructure noise

A Consistent Test for the Functional Form of a Regression Based on a Difference of Variance Estimators

Nonparametric Comparison of Regression Curves: An Empirical Process Approach

Testing the parametric form of the volatility in continuous time diffusion models—a stochastic process approach

Of copulas, quantiles, ranks and spectra: An $L_{1}$-approach to spectral analysis

Optimal Designs for Estimating the Interesting Part of a Dose-Effect Curve

A note on testing the covariance matrix for large dimension

Some Comments on Quasi-Birth-and-Death Processes and Matrix Measures

A general approach to -optimal designs for weighted univariate polynomial regression models

Constrained $D$- and $D_1$-optimal designs for polynomial regression

Discrimination Designs for Polynomial Regression on Compact Intervals

Optimal Designs When the Variance Is A Function of the Mean

Optimality criteria for regression models based on predicted variance

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