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