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  1. No Access

    Article

    Generalised linear model trees with global additive effects

    Model-based trees are used to find subgroups in data which differ with respect to model parameters. In some applications it is natural to keep some parameters fixed globally for all observations while asking i...

    Heidi Seibold, Torsten Hothorn… in Advances in Data Analysis and Classificati… (2019)

  2. No Access

    Article

    A toolbox of permutation tests for structural change

    The sup \(LM\) test for structural change is embedded into a permutation test framework for a simple location model. T...

    Achim Zeileis, Torsten Hothorn in Statistical Papers (2013)

  3. No Access

    Article

    Boosting techniques for nonlinear time series models

    Many of the popular nonlinear time series models require a priori the choice of parametric functions which are assumed to be appropriate in specific applications. This approach is mainly used in financial applica...

    Nikolay Robinzonov, Gerhard Tutz, Torsten Hothorn in AStA Advances in Statistical Analysis (2012)

  4. No Access

    Chapter and Conference Paper

    Glaucoma Diagnosis by Indirect Classifiers

    Medical decision making is based on various diagnostic measurements and the evaluation of anamnestic information. For example glaucoma diagnosis is based on several direct and indirect assessments of the eye. ...

    Andrea Peters, Torsten Hothorn… in Classification, Clustering, and Data Analy… (2002)

  5. No Access

    Chapter and Conference Paper

    Exact Nonparametric Inference in R

    For many of the classical tests, including the Wilcoxon signed rank and rank sum and the Ansari-Bradley tests, exact unconditional distributions of the test statistics can be obtained using recursion formulae ...

    Torsten Hothorn, Kurt Hornik in Compstat (2002)

  6. No Access

    Chapter and Conference Paper

    Bagging Tree Classifiers for Glaucoma Diagnosis

    The aggregation of multiple unstable classifiers leads to substantial reduction of misclassification error in many applications and bench mark problems. We focus on the problem of classifying eyes as normal or...

    Torsten Hothorn, Berthold Lausen in Compstat (2002)

  7. No Access

    Chapter and Conference Paper

    Bagging Combined Classifiers

    Aggregated classifiers have proven to be successful in reducing misclas­sification error in a wide range of classification problems. One of the most popular is bagging. But often simple procedures perform comp...

    Torsten Hothorn, Berthold Lausen in Classification, Clustering, and Data Analysis (2002)

  8. No Access

    Chapter and Conference Paper

    StatDataML: An XML Format for Statistical Data

    In order to circumvent common difficulties in exchanging statistical data between heterogeneous applications (format incompatibilities, technocentric data representation), we introduce an XML-based markup lang...

    David Meyer, Friedrich Leisch, Torsten Hothorn, Kurt Hornik in Compstat (2002)