Books

  1. Stasinopoulos, M., Kneib, T., Klein, N., Mayr, A., Heller, G. (2024)
    Generalized Additive Models for Location, Scale and Shape - A Distributional Regression Approach with Applications
    Cambridge University Press
  2. Fahrmeir, L., Kneib, T., Lang, S. and Marx, B. (2022):
    Regression - Models, Methods and Applications (2nd edition)
    Springer
  3. Fahrmeir, L., Kneib, T., Lang, S. and Marx, B. (2013):
    Regression - Models, Methods and Applications
    Springer
  4. Fahrmeir, L. and Kneib, T. (2011):
    Bayesian Smoothing and Regression for Longitudinal, Spatial and Event History Data
    Oxford University Press
  5. Kneib, T. and Tutz, G. (2010, eds.)
    Statistical Modelling and Regression Structures - Festschrift in the Honour of Ludwig Fahrmeir
    Physica
  6. Fahrmeir, L., Kneib, T. and Lang, S. (2009):
    Regression - Modelle, Methoden und Anwendungen (in German, 2nd corrected printing)
    Springer Verlag
  7. Fahrmeir, L., Kneib, T. and Lang, S. (2007):
    Regression - Modelle, Methoden und Anwendungen (in German)
    Springer Verlag
  8. Kneib, T. (2006):
    Mixed model based inference in structured additive regression (PhD thesis)
    Dr. Hut-Verlag
    Available online from the Munich University Library