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Fahrmeir Ludwig

Обновлено: 09-12-2010
Образование магистр [Technische Universität München, 1970]
PhD [Technische Universität München, 1972]
Место работы Ludwig Maximilians University / Chair of Statistics and Applied Statistics in Economics, Business Administration and the Social Sciences, Department of Statistics

Профессиональные интересы:
Multivariate Statistics
Generalized Linear Models
Analysis of Discrete Data
State Space Models for Longitudinal and Spatial Data
Computerintensive Bayesian Methods
Biostatistical and Economic Applications, including Human Brain Research, Labor Market Analysis and Risk Management.

Публикации:

Books:

  • Multivariate statistical modelling based on generalized linear models (1994, 3rd printing 1997) (with G. Tutz) Springer Series in Statistics, New York, 425 pp.
  • Multivariate statistische Verfahren (1996, enlarged 2nd edition), (with A. Hamerle und G. Tutz). De Gruyter Berlin, 902 pp.
  • Statistik - Der Weg zur Datenanalyse (1997, corrected 2nd edition 1998), (with R. Künstler, I. Pigeot, G. Tutz). Springer Verlag, 594 pp.
  • Arbeitsbuch Statistik (1999), (with R. Künstler, I. Pigeot, G. Tutz, A. Caputo, S. Lang). Springer-Verlag, Berlin Heidelberg

Articles:

  • Fahrmeir L., Gössl C. Semiparametric Bayesian Models for Human Brain Mapping // Statistical Modelinng: An International Journal. 200. Vol.2, Iss. 3. P. 235-249. [полный текст: EBSCO, Academic Search Premier]
  • Fahrmeir L., Gössl C., Hennerfeind A. (2002). Bayesian mapping of brain regions using compound Markov random field priors. Submitted.
  • Fahrmeir L., Gössl C., Hennerfeind A. (2002). Robust Spatial Smoothing in functional MRI. To appear in Proc. of the GfKL.
  • Gössl C., Fahrmeir L., Pütz B., Auer L.M., Auer, D.P. Fiber Tracking from DTI Using Linear State Space Models: Detectability of the Pyramidal Tract // Neuroimage. 2002. Vol. 16, Iss. 2. P. 378-388 [аннотация и полный текст]
  • Lang, S., Kragler, P., Haybach, G. and Fahrmeir, L. (2002). Bayesian space-time analysis of health insurance data. To appear in Proc. of the GfKl.
  • Lang S., Fronk, E.M. and Fahrmeir, L. (2002). Function Estimation with Locally Adaptive Dynamic Models. To appear in Computational Statistics.
  • Becker, U. and Fahrmeir, L. (2001). Bump Hunting for Risk: a New Data Mining Tool and its Applications. Computational Statistics, 16, 373-386.
  • Biller, C. and Fahrmeir, L. (2001). Bayesian varying-coefficient models using adaptive regression splines. Statistical Modelling, 1, 195-211.
  • Fahrmeir, L. and Lang, S. (2001). Bayesian semiparametric regression analysis of multicategorical time-space data. Annals of the Institute of Statistical Mathematics, 53, 11-30.
  • Fahrmeir, L. and Lang, S. (2001). Bayesian inference for generalized additive mixed models based on Markov random field priors. Applied Statistics, 50, 201-220.
  • Fahrmeir, L. and Mayer J. (2001). Bayesian-type count data models with varying coefficients: estimation and testing in the presence of overdispersion. Appl. Stochastic Models Bus. Ind., 17, 165-179.
  • Gössl C., Auer D.P. and Fahrmeir L. (2001). Bayesian Spatiotemporal Inference in Functional Magnetic Resonance Imaging. Biometrics, 57, 554-562.
  • Gössl C., Fahrmeir, L. and Auer D.P. (2001). Bayesian Modeling of the Hemodynamic Response Function in BOLD fMRI. NeuroImage, 14, 140-148.
  • Kandala, N.B., Lang, S., Klasen, S. and Fahrmeir, L. (2001). Semi-parametric analysis of the socio-demographic and spatial determinants of undernutrition in two African countries. Research in Official Statistics, 4, 81-99.
  • Gössl C., Auer D.P. and Fahrmeir L. (2000). Dynamic Models in fMRI. Magnetic Resonance in Medicine, 43, 72-81
  • Fahrmeir, L. and Knorr-Held, L. (2000). Dynamic and Semiparametric Models, in M. Schimek (ed): Smoothing and Regression: Approaches, Computation and Application, New York: Wiley. Stasinopoulos,
  • D.M., Rigby, R.A. and Fahrmeir, L. (2000). Modelling rental guide data using mean and dispersion additive models. Statistician, 49, 479-493.
  • Becker, U. and Fahrmeir, L. (2000). Bump Hunting for Risk: a New Data Mining Tool. In: Data Analysis (ed. w. Gaul et al.), Sprinter, 395-404.


Публикации на портале:
Книги
Домашняя страница http://www.stat.uni-muenchen.de/~fahrmeir/welcome-e.html
E-mail fahrmeir@stat.uni-muenchen.de
Телефон +49 89 2180 2220
Факс +49 89 2180 5040
Адрес

Institut für Statistik
Seminar für Statistik und ihre Anwendung in den Wirtschafts- und Sozialwissenschaften
Ludwig-Maximilians-Universität München
Ludwigstraße 33
D-80539 München
Germany


Ссылки:
Ключевые слова

См. также:
Андрей Юрьевич Жигаев
Экономический журнал ВШЭ. 1999.  Т. 3. № 3. С. 395-422. 
[Статья]
Надежда Михайловна Розанова, Марина Валерьевна Ряскова
Экономический журнал ВШЭ. 2002.  Т. 6. № 1. С. 45-67. 
[Статья]