Ludwig-Maximilians-Universität, Institut für Statistik,
Seminar für Statistik und ihre Anwendung in den Wirtschafts- und Sozialwissenschaften

---

Technical Reports:

• Adebayo, S. B., Fahrmeir, L. and Seiler, C. (2009): Geoadditive Latent Variable Modelling of Count Data on Multiple Sexual Partnering in Nigeria.  Technical Reports, Nr. 66. Department für Statistik, Ludwig-Maximilians-Universität München.
• Kneib, T., Konrath, S. and Fahrmeir, L. (2009). High-dimensional Structured Additive Regression Models: Bayesian Regularisation, Smoothing and Predictive Performance. Technical Reports, No.46. Department für Statistik, Ludwig-Maximilians-Universität München.
• Fenske, N., Fahrmeir, L., Rzehak, P. Höhle, M. (2008). Detection of risk factors for obesity in early childhood with quantile regression methods for longitudinal data. Technical Reports, Nr. 38, Department für Statistik, Ludwig-Maximilians-Universität München.
• Konrath, S., Kneib, T. and Fahrmeir, L. (2008). Bayesian Regularisation in Structured Additive Regression Models for Survival Data. Technical Reports, Nr. 35, Department für Statistik, Ludwig-Maximilians-Universität München.
• Khatab, K., Fahrmeir, L. (2008). Analysis of Childhood Morbidity with Geoadditive Probit and Latent Variable Model: A case study for Egypt. Technical Reports, Nr. 21, Department für Statistik, Ludwig-Maximilians-Universität München.
• Fahrmeir, L., Khatab, K. (2008). Geoadditive Latent Variable Modelling of Child Morbidity and Malnutrition in Nigeria. Technical Reports, Nr. 20, Department für Statistik,  Ludwig-Maximilians-Universität München.
• Fahrmeir, L., Steinert, S. (2006). A geoadditive Bayesian latent variable model for Poisson indicators.  Discussion Paper 508, SFB 386, Ludwig-Maximilians-Universität München.
• Fahrmeir, L. and Raach, A. (2006). A Bayesian semiparametric latent variable model for mixed responses.  Discussion Paper 471, SFB 386, Ludwig-Maximilians-Universität München.
• Brezger, A., Fahrmeir, L,. Hennerfeind, A. (2005): Adaptive Gaussian Markov random fields with applications in human brain mapping.  Discussion Paper 456, SFB 386, Ludwig-Maximilians-Universität München.
• Hennerfeind, A., Brezger, A., Fahrmeir, L. (2005): Geoadditive Survival Survival Models.  Discussion Paper 414 (strongly modified and revised version of Discussion Paper 333, SFB 386, Ludwig-Maximilians-Universität München.
• Heim, S., Hahn, K. Auer, D.P. Fahrmeir, L. (2004): Optimization of Fiber Tracking in Human Brain Mapping: Statistical Challenges, 296-300. Eds.: Biggeri A., Dreassi, E., Lagazio, C. and Marchi, M. Firenze University Press.
• Kneib, T. and Fahrmeir, L. (2004). Structured additive regression for multicategorical space-time data: A mixed model approach.  Discussion Paper 377, SFB 386, Ludwig-Maximilians-Universität München. [Abstract]