41 research outputs found

    MDL Mean Function Selection in Semiparametric Kernel Regression Models

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    We study the problem of selecting the optimal functional form among a set of non-nested nonlinear mean functions for a semiparametric kernel based regression model. To this end we consider Rissanen's minimum description length (MDL) principle. We prove the consistency of the proposed MDL criterion. Its performance is examined via simulated data sets of univariate and bivariate nonlinear regression models

    Mathematische Spectralanalyse des Magnesiums und der Kohle

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    Spectralanalyse des Kadmiums

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    Differentiation of xylem cells in rolC

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    Pathogen Specialization

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    The ability to infect new hosts can drive the evolution and specialization of secreted pathogen proteins
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