Refereed Papers - Software

  1. Tillmann, A., Thielman, A, Kant, G., Weisser, C., Säfken, B., Silbersdorff, A. adnd Kneib, T. (2021), AuDoLab Automatic document labelling and classification for extremely unbalanced data, Journal of Open Source Software, 6 (66), 3719
  2. Säfken, B., Rügamer, D., Kneib, T. and Greven, S. (2021)
    Conditional Model Selection in Mixed-Effects Models with cAIC4
    Journal of Statistical Software, 99 (8)
  3. Umlauf, N., Adler, D., Kneib, T., Lang, S. and Zeileis, A. (2014)
    Structured Additive Regression Models: An R interface to BayesX
    Journal of Statistical Software, 21, 1-46.
    Prliminary Version: Working Papers in Economics and Statistics No. 2012-12, University of Innsbruck
  4. Hothorn, T., Bühlmann, P., Kneib, T., Schmid, M. and Hofner, B. (2010)
    Model-based Boosting 2.0
    Journal of Machine Learning Reseach - Machine Learning Open Source Software, 11.
  5. Kneib, T., Belitz, C., Brezger, A. and Lang, S. (2008)
    BayesX - Bayesian inference in structured additive regression
    Software Highlight in ISBA Bulletin 15(1).
  6. Kneib, T. and Petzoldt, T. (2007)
    Introduction to the Special Volume on 'Ecology and Ecological Modelling in R'
    Journal of Statistical Software, 22(1).
  7. Brezger, A., Kneib, T. and Lang, S. (2005)
    BayesX: Analysing Bayesian structured additive regression models.
    Journal of Statistical Software, 14 (11).
    Preliminary version: SFB Discussion Paper 332