Efficient density estimation in an AR(1) model von Schick, Anton, Wefelmeyer, Wolfgang

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Tests for normality based on density estimators of convolutions von Schick, Anton, Wang, Yishi, Wefelmeyer, Wolfgang

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Estimating the innovation distribution in nonparametric autoregression von Müller, Ursula U., Schick, Anton, Wefelmeyer, Wolfgang

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Estimation for Markov Chains with Periodically Missing Observations von U. Müller, Ursula, Schick, Anton, Wefelmeyer, Wolfgang

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Uniformly root-N consistent density estimators for weakly dependent invertible linear processes von SCHICK, Anton, WEFELMEYER, Wolfgang

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Uniform convergence of convolution estimators for the response density in nonparametric regression von SCHICK, ANTON, WEFELMEYER, WOLFGANG

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Uniformly Root-N Consistent Density Estimators for Weakly Dependent Invertible Linear Processes von Schick, Anton, Wefelmeyer, Wolfgang

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On efficient estimation of densities for sums of squared observations von Schick, Anton, Wefelmeyer, Wolfgang

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Root- n consistent density estimators of convolutions in weighted L 1 -norms von Schick, Anton, Wefelmeyer, Wolfgang

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Root-n consistent density estimators of convolutions in weighted L1 -norms von SCHICK, Anton, WEFELMEYER, Wolfgang

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Estimators in step regression models von Müller, Ursula U., Schick, Anton, Wefelmeyer, Wolfgang

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Estimating the innovation distribution in nonlinear autoregressive models von SCHICK, Anton, WEFELMEYER, Wolfgang

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Convergence rates of density estimators for sums of powers of observations von Schick, Anton, Wefelmeyer, Wolfgang

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Estimating the error distribution function in semiparametric additive regression models von Müller, Ursula U., Schick, Anton, Wefelmeyer, Wolfgang

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Prediction in moving average processes von Schick, Anton, Wefelmeyer, Wolfgang

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Pre-averaged kernel estimators for the drift function of a diffusion process in the presence of microstructure noise von Lee, Wooyong, Greenwood, Priscilla E., Heckman, Nancy, Wefelmeyer, Wolfgang

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Pointwise convergence rates and central limit theorems for kernel density estimators in linear processes von Schick, Anton, Wefelmeyer, Wolfgang

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Testing for additivity in partially linear regression with possibly missing responses von Müller, Ursula U., Schick, Anton, Wefelmeyer, Wolfgang

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Root-n consistency in weighted L 1-spaces for density estimators of invertible linear processes von Schick, Anton, Wefelmeyer, Wolfgang

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Root-n consistent density estimators of convolutions in weighted -norms von Schick, Anton, Wefelmeyer, Wolfgang

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