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  1. No Access

    Article

    Robust second-order least-squares estimation for regression models with autoregressive errors

    Rosadi and Peiris (Comput Stat 29:931–943, 2014) applied the second-order least squares estimator (SLS), which was proposed in Wang and Leblanc (Ann Inst of Stat Math 60:883–900, 2008), to regression models with ...

    D. Rosadi, P. Filzmoser in Statistical Papers (2019)

  2. Article

    Erratum to: Ultrahigh dimensional variable selection through the penalized maximum trimmed likelihood estimator

    N. M. Neykov, P. Filzmoser, P. N. Neytchev in Statistical Papers (2014)

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  3. No Access

    Article

    Ultrahigh dimensional variable selection through the penalized maximum trimmed likelihood estimator

    The penalized maximum likelihood estimator (PMLE) has been widely used for variable selection in high-dimensional data. Various penalty functions have been employed for this purpose, e.g., Lasso, weighted Las...

    N. M. Neykov, P. Filzmoser, P. N. Neytchev in Statistical Papers (2014)

  4. No Access

    Chapter and Conference Paper

    Investigation of the Language in Germany and Austria Using Statistical Methods

    On the basis of texts from the 18th century the German language is investigated. We emphasize not the use of words but the grammatical distribution of the words distinguished by codes. The relative frequencies...

    P. Filzmoser in Classification and Knowledge Organization (1997)