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Veröffentlichungsdatum
Anzahl der Publikationen: 78
2023
Fahrmeir, Ludwig; Kauermann, Göran; Tutz, Gerhard 
ORCID: https://orcid.org/0000-0002-6628-3539 und Windmann, Michael
(2023):
Spatial smoothing revisited: An application to rental data in Munich.
In: Statistical Modelling, Bd. 23, Nr. 5-6: S. 480-494
[PDF, 1MB]
ORCID: https://orcid.org/0000-0002-6628-3539 und Windmann, Michael
(2023):
Spatial smoothing revisited: An application to rental data in Munich.
In: Statistical Modelling, Bd. 23, Nr. 5-6: S. 480-494
[PDF, 1MB]
2015
Kalus, Stefanie; Bothmann, Ludwig; Yassouridis, Christina; Czisch, Michael; Sämann, Philipp G. und Fahrmeir, Ludwig
(2015):
Statistical Modeling of Time-Dependent fMRI Activation Effects.
In: Human Brain Mapping, Bd. 36, Nr. 2: S. 731-743
2013
Kalus, Stefanie; Sämann, Philipp; Czisch, Michael und Fahrmeir, Ludwig
(26. Juni 2013):
fMRI activation detection with EEG priors.
Department of Statistics: Technical Reports, Nr. 146
[PDF, 1MB]
Konrath, Susanne; Kneib, Thomas und Fahrmeir, Ludwig
(2013):
Bayesian smoothing, shrinkage and variable selection in hazard regression.
In: Becker, Claudia; Fried, Roland und Kuhnt, Sonja (Hrsg.):
Robustness and Complex Data Structures. Festschrift in Honour of Ursula Gather. Berlin: Springer. S. 149-170
Kalus, Stefanie; Sämann, Philipp G. und Fahrmeir, Ludwig
(2013):
Classification of brain activation vial spatial Bayesian variable selection in fMRI regression.
In: Advances in Data Analysis and Classification: S. 1-21
Fenske, Nora; Fahrmeir, Ludwig; Hothorn, Torsten; Rzehak, Peter und Höhle, Michael
(2013):
Boosting structured additive quantile regression for longitudinal childhood obesity data.
In: The International Journal of Biostatistics, Bd. 9, Nr. 1: S. 1-18
[PDF, 1MB]
Fahrmeir, Ludwig; Kneib, Thomas; Lang, Stefan und Marx, Brian
(2013):
Regression: Models, Methods and Applications.
Berlin: Springer-Verlag.
Fahrmeir, Ludwig; Kneib, Thomas und Lang, Stefan
(2013):
Bayesian Multilevel Models.
In: Scott, Marc; Simonoff, Jeffrey und Marx, Brian (Hrsg.):
The SAGE Handbook of Multilevel Modelling. Los Angeles: Sage. S. 53-72
Scheipl, Fabian; Kneib, Thomas und Fahrmeir, Ludwig
(2013):
Penalized likelihood and Bayesian function selection in regression models.
In: AStA (Advances in Statistical Analysis), Bd. 97: S. 349-385
2012
Scheipl, Fabian; Fahrmeir, Ludwig und Kneib, Thomas
(2012):
Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models.
In: Journal of the American Statistical Association, Bd. 107, Nr. 500: S. 1518-1532
Heinzl, Felix; Kneib, Thomas und Fahrmeir, Ludwig
(2012):
Additive mixed models with Dirichlet process mixture and P-spline priors.
In: Advances in Statistical Analysis, Bd. 96, Nr. 1: S. 47-68
2011
Kneib, Thomas; Konrath, Susanne und Fahrmeir, Ludwig
(2011):
High dimensional structured additive regression models: Bayesian regularization, smoothing and predictive performance.
In: Journal of the Royal Statistical Society: Series C (Applied Statistics), Bd. 60, Nr. 1: S. 51-70
Kneib, Thomas und Fahrmeir, Ludwig
(2011):
A Space-Time Study on Forest Health.
In: Chandler, Richard und Scott, Marian (Hrsg.):
Statistical Methods for Trend Detection and Analysis in the Environmental Sciences. Hoboken: Wiley & Sons. S. 333-358
Wimmer, Valentin; Fenske, Nora; Pyrka, Patricia und Fahrmeir, Ludwig
(2011):
Exploring competition performance in decathlon using semi-parametric latent factor models.
In: Journal of Quantitative Analysis in Sports, Bd. 7, Nr. 4
Adebayo, Samson B.; Fahrmeir, Ludwig; Seiler, Christian und Heumann, Christian
(2011):
Geoadditive Latent Variable Modeling of Count Data on Multiple Sexual Partnering in Nigeria.
In: Biometrics, Bd. 67, Nr. 2: S. 620-628
Svejdar, Viola; Küchenhoff, Helmut ORCID: https://orcid.org/0000-0002-6372-2487; Fahrmeir, Ludwig und Wassermann, Joachim
(2011):
External forcing of earthquake swarms at Alpine regions: example from a seismic meteorological network at Mt. Hochstaufen SE-Bavaria.
In: Nonlinear Processes In Geophysics, Bd. 18, Nr. 6: S. 849-860
ORCID: https://orcid.org/0000-0002-6372-2487; Fahrmeir, Ludwig und Wassermann, Joachim
(2011):
External forcing of earthquake swarms at Alpine regions: example from a seismic meteorological network at Mt. Hochstaufen SE-Bavaria.
In: Nonlinear Processes In Geophysics, Bd. 18, Nr. 6: S. 849-860
Pyrka, Patricia; Wimmer, Valentin; Fenske, Nora; Fahrmeir, Ludwig und Schwirtz, Ansgar
(2011):
Factor Analysis in Performance Diagnostic Data of Competitive Ski Jumpers and Nordic Combined Athletes 2004-2008.
In: Journal of Quantitative Analysis in Sports, Bd. 7, Nr. 3
2010
Fahrmeir, Ludwig; Kneib, Thomas und Konrath, Susanne
(2010):
Bayesian regularisation in structured additive regression: A unifying perspective on shrinkage, smoothing and predictor selection.
In: Statistics and Computing, Bd. 20, Nr. 2: S. 203-219
2009
Heinzl, Felix; Kneib, Thomas und Fahrmeir, Ludwig
(8. Oktober 2009):
Additive mixed models with Dirichlet process mixture and P-spline priors.
Department of Statistics: Technical Reports, Nr. 68
[PDF, 15MB]
Adebayo, Samson B.; Fahrmeir, Ludwig und Seiler, Christian
(September 2009):
Geoadditive Latent Variable Modelling of Count Data on Multiple Sexual Partnering in Nigeria.
Department of Statistics: Technical Reports, Nr. 66
[PDF, 587kB]
Kneib, Thomas; Konrath, Susanne und Fahrmeir, Ludwig
(23. Januar 2009):
High-dimensional Structured Additive Regression Models: Bayesian Regularisation, Smoothing and Predictive Performance.
Department of Statistics: Technical Reports, Nr. 46
[PDF, 671kB]
Kauermann, Göran; Krivobokova, Tatyana und Fahrmeir, Ludwig
(2009):
Some Asymptotic Results on Generalized Penalized Spline Smoothing.
In: Journal of the Royal Statistical Society: Series B (Statistical Methodology), Bd. 71, Nr. 2: S. 487-503
Fahrmeir, Ludwig und Kneib, Thomas
(2009):
Discussion on "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations" by Rue, H., Martino, S. and Chopin, N.
In: Journal of the Royal Statistical Society B, Bd. 71
Fahrmeir, Ludwig; Kneib, Thomas und Lang, Stefan
(2009):
Regression - Modelle, Methoden und Anwendungen.
2nd edition. Berlin: Springer Verlag.
Khatab, Khaled und Fahrmeir, Ludwig
(2009):
Analysis of childhood morbidity with geoadditive probit and latent variable model: A case study for egypt.
In: The American Journal of Tropical Medicine and Hygiene, Bd. 81, Nr. 1: S. 116-128
2008
Fenske, Nora; Fahrmeir, Ludwig; Rzehak, Peter und Höhle, Michael
(25. September 2008):
Detection of risk factors for obesity in early childhood with quantile regression methods for longitudinal data.
Department of Statistics: Technical Reports, Nr. 38
[PDF, 1MB]
Konrath, Susanne; Kneib, Thomas und Fahrmeir, Ludwig
(1. August 2008):
Bayesian Regularisation in Structured Additive Regression Models for Survival Data.
Department of Statistics: Technical Reports, Nr. 35
[PDF, 809kB]
Beyerlein, Andreas; Fahrmeir, Ludwig; Mansmann, Ulrich und Toschke, Andre M.
(2008):
Alternative regression models to assess increase in childhood BMI.
In: BMC Medical Research Methodology
8:59
[PDF, 428kB]
Khatab, Khaled und Fahrmeir, Ludwig
(2008):
Analysis of Childhood Morbidity with Geoadditive Probit and Latent Variable Model: A case study for Egypt.
Department of Statistics: Technical Reports, Nr. 21
[PDF, 1MB]
Fahrmeir, Ludwig und Khatab, Khaled
(2008):
Geoadditive Latent Variable Modelling of Child Morbidity and Malnutrition in Nigeria.
Department of Statistics: Technical Reports, Nr. 20
[PDF, 755kB]
2006
Fahrmeir, Ludwig und Kneib, Thomas
(2006):
Propriety of Posteriors in Structured Additive Regression Models: Theory and Empirical Evidence.
Sonderforschungsbereich 386, Discussion Paper 510
[PDF, 949kB]
Fahrmeir, Ludwig und Steinert, Sven
(2006):
A geoadditive Bayesian latent variable model for Poisson indicators.
Sonderforschungsbereich 386, Discussion Paper 508
[PDF, 3MB]
Fahrmeir, Ludwig und Raach, Alexander
(2006):
A Bayesian semiparametric latent variable model for mixed responses.
Sonderforschungsbereich 386, Discussion Paper 471
[PDF, 712kB]
2005
Kneib, Thomas und Fahrmeir, Ludwig
(2005):
Supplement to "Structured additive regression for categorical space-time data: A mixed model approach".
Sonderforschungsbereich 386, Discussion Paper 431
[PDF, 1MB]
Brezger, Andreas; Fahrmeir, Ludwig und Hennerfeind, Andrea
(2005):
Adaptive Gaussian Markov Random Fields with Applications in Human Brain Mapping.
Sonderforschungsbereich 386, Discussion Paper 456
[PDF, 601kB]
Heim, Susanne; Fahrmeir, Ludwig; Eilers, Paul H. C. und Marx, Brian D.
(2005):
Space-Varying Coefficient Models for Brain Imaging.
Sonderforschungsbereich 386, Discussion Paper 455
[PDF, 1MB]
Hennerfeind, Andrea; Brezger, Andreas und Fahrmeir, Ludwig
(2005):
Geoadditive Survival Models: A Supplement.
Sonderforschungsbereich 386, Discussion Paper 454
[PDF, 1MB]
Hennerfeind, Andrea; Brezger, Andreas und Fahrmeir, Ludwig
(2005):
Geoadditive survival models.
Sonderforschungsbereich 386, Discussion Paper 414
[PDF, 3MB]
2004
Kneib, Thomas und Fahrmeir, Ludwig
(2004):
A mixed model approach for structured hazard regression.
Sonderforschungsbereich 386, Discussion Paper 400
[PDF, 1MB]
Kneib, Thomas und Fahrmeir, Ludwig
(2004):
Structured additive regression for multicategorical space-time data: A mixed model approach.
Sonderforschungsbereich 386, Discussion Paper 377
[PDF, 520kB]
2003
Smith, Michael; Pütz, Benno; Auer, Dorothee P. und Fahrmeir, Ludwig
(2003):
Assessing Brain Activity through Spatial Bayesian Variable Selection.
Sonderforschungsbereich 386, Discussion Paper 316
[PDF, 399kB]
Fahrmeir, Ludwig; Kneib, Thomas und Lang, S.
(2003):
Penalized additive regression for space-time data: a Bayesian perspective.
Sonderforschungsbereich 386, Discussion Paper 305
[PDF, 753kB]
Fahrmeir, Ludwig; Gössl, Christoff und Hennerfeind, Andrea
(2003):
Bayesian mapping of brain regions using compound Markov random field priors.
Sonderforschungsbereich 386, Discussion Paper 317
[PDF, 1MB]
Hennerfeind, Andrea; Brezger, Andreas und Fahrmeir, Ludwig
(2003):
Geoadditive survival models.
Sonderforschungsbereich 386, Discussion Paper 333
[PDF, 4MB]
Fahrmeir, Ludwig und Osuna, L.
(2003):
Structured count data regression.
Sonderforschungsbereich 386, Discussion Paper 334
[PDF, 1MB]
Gehrmann, U.; Hellriegel, B.; Neiss, A. und Fahrmeir, Ludwig
(2003):
Analysis of the time to sustained progression in Multiple Sclerosis using generalised linear and additive models.
Sonderforschungsbereich 386, Discussion Paper 354
[PDF, 375kB]
Fahrmeir, Ludwig und Hennerfeind, Andrea
(2003):
Nonparametric Bayesian hazard rate models based on penalized splines.
Sonderforschungsbereich 386, Discussion Paper 361
[PDF, 406kB]
2002
Adebayo, Samson B. und Fahrmeir, Ludwig
(2002):
Analyzing Child Mortality in Nigeria with Geoadditive Survival Models.
Sonderforschungsbereich 386, Discussion Paper 303
[PDF, 351kB]
Lang, Stefan; Adebayo, Samson B.; Fahrmeir, Ludwig und Steiner, Winfried J.
(2002):
Bayesian Geoadditive Seemingly Unrelated Regression.
Sonderforschungsbereich 386, Discussion Paper 300
[PDF, 683kB]
Berger, U.; Fahrmeir, Ludwig und Klasen, S.
(2002):
Dynamic Modelling of Child Mortality in Developing Countries: Application for Zambia.
Sonderforschungsbereich 386, Discussion Paper 299
[PDF, 294kB]
Kandala, N. B.; Fahrmeir, Ludwig und Klasen, S.
(2002):
Geo-additive models of Childhood Undernutrition in three Sub-Saharan African Countries.
Sonderforschungsbereich 386, Discussion Paper 287
[PDF, 1MB]
Fahrmeir, Ludwig und Gössl, C.
(2002):
Semiparametric Bayesian models for human brain mapping.
In: Statistical Modelling, Bd. 2, Nr. 3: S. 235-249
[PDF, 441kB]
2001
Lang, S.; Kragler, P.; Haybach, G. und Fahrmeir, Ludwig
(2001):
Bayesian space-time analysis of health insurance data.
Sonderforschungsbereich 386, Discussion Paper 237
[PDF, 598kB]
Lang, S. und Fahrmeir, Ludwig
(2001):
Bayesian generalized additive mixed models. A simulation study.
Sonderforschungsbereich 386, Discussion Paper 230
[PDF, 1MB]
Kandala, N. B.; Lang, S.; Klasen, S. und Fahrmeir, Ludwig
(2001):
Semiparametric Analysis of the Socio-Demographic and Spatial Determinants of Undernutrition in Two African Countries.
Sonderforschungsbereich 386, Discussion Paper 245
[PDF, 322kB]
Biller, Clemens und Fahrmeir, Ludwig
(2001):
Bayesian varying-coefficient models using adaptive regression splines.
In: Statistical Modelling, Bd. 1, Nr. 3: S. 195-211
[PDF, 292kB]
Lang, S.; Fronk, Eva-Maria und Fahrmeir, Ludwig
(2001):
Function estimation with locally adaptive dynamic models.
Sonderforschungsbereich 386, Discussion Paper 263
[PDF, 540kB]
2000
Fahrmeir, Ludwig; Lang, S.; Wolff, J. und Bender, S.
(2000):
Semiparametric Bayesian Time-Space Analysis of Unemployment Duration.
Sonderforschungsbereich 386, Discussion Paper 211
[PDF, 828kB]
Fahrmeir, Ludwig und Lang, S.
(2000):
Bayesian Semiparametric Regression Analysis of Multicategorical Time-Space Data.
Sonderforschungsbereich 386, Discussion Paper 202
[PDF, 633kB]
Gössl, Christoff; Auer, Dorothee P. und Fahrmeir, Ludwig
(2000):
Bayesian spatio-temporal inference in functional magnetic resonance imaging.
Sonderforschungsbereich 386, Discussion Paper 192
[PDF, 648kB]
1999
Fahrmeir, Ludwig und Lang, S.
(1999):
Bayesian Inference for Generalized Additive Mixed Models Based on Markov Random Field Priors.
Sonderforschungsbereich 386, Discussion Paper 134
Nikele, M. und Fahrmeir, Ludwig
(1999):
A latent variable probit model for multivariate ordered categorical responses.
Sonderforschungsbereich 386, Discussion Paper 164
[PDF, 785kB]
1998
Gössl, Christoff; Auer, Dorothee P. und Fahrmeir, Ludwig
(1998):
Dynamic models in fMRI.
Sonderforschungsbereich 386, Discussion Paper 136
[PDF, 383kB]
Fahrmeir, Ludwig und Künstler, R.
(1998):
Penalized likelihood smoothing in robust state space models.
Sonderforschungsbereich 386, Discussion Paper 111
[PDF, 355kB]
Fahrmeir, Ludwig und Lang, S.
(1998):
Bayesian Inference for Generalized Additive Regression based on Dynamic Models.
Sonderforschungsbereich 386, Discussion Paper 134
[PDF, 399kB]
Fronk, Eva-Maria und Fahrmeir, Ludwig
(1998):
Function estimation with locally adaptive dynamic models.
Sonderforschungsbereich 386, Discussion Paper 135
[PDF, 428kB]
Fahrmeir, Ludwig
(1998):
Recent Advances in Semiparametric Bayesian Function Estimation.
Sonderforschungsbereich 386, Discussion Paper 137
[PDF, 280kB]
1997
Fahrmeir, Ludwig
(1997):
Discrete failure time models.
Sonderforschungsbereich 386, Discussion Paper 91
[PDF, 220kB]
Fahrmeir, Ludwig; Gieger, Christian und Heumann, Christian
(1997):
An application of isotonic longitudinal marginal regression to monitoring the healing process.
Sonderforschungsbereich 386, Discussion Paper 89
[PDF, 238kB]
Fahrmeir, Ludwig und Klinger, Artur
(1997):
A nonparametric multiplicative hazard model for event history analysis (strongly modified and revised version of Discussion Paper 12).
Sonderforschungsbereich 386, Discussion Paper 12
Fahrmeir, Ludwig und Knorr-Held, Leonhard
(1997):
Dynamic and semiparametric models.
Sonderforschungsbereich 386, Discussion Paper 76
[PDF, 404kB]
1996
Biller, Clemens und Fahrmeir, Ludwig
(1996):
Bayesian spline-type smoothing in generalized regression models.
Sonderforschungsbereich 386, Discussion Paper 31
[PDF, 855kB]
Fahrmeir, Ludwig und Knorr-Held, Leonhard
(1996):
Dynamic discrete-time duration models. (REVISED).
Sonderforschungsbereich 386, Discussion Paper 14
[PDF, 460kB]
1995
Fahrmeir, Ludwig und Wagenpfeil, Stefan
(1995):
Smoothing Hazard Functions and Time-Varying Effects in Discrete Duration and Competing Risks Models.
Sonderforschungsbereich 386, Discussion Paper 7
[PDF, 548kB]
Fahrmeir, Ludwig und Wagenpfeil, Stefan
(1995):
Penalized likelihood estimation and iterative kalman smoothing for non-gaussian dynamic regression models.
Sonderforschungsbereich 386, Discussion Paper 5
[PDF, 694kB]
Fahrmeir, Ludwig und Pritscher, L.
(1995):
Regression analysis of forest damage by marginal models for correlated ordinal responses.
Sonderforschungsbereich 386, Discussion Paper 9
[PDF, 350kB]
Fahrmeir, Ludwig und Klinger, Artur
(1995):
A nonparametric multiplicative hazard model for event history analysis.
Sonderforschungsbereich 386, Discussion Paper 12
[PDF, 384kB]
Fahrmeir, Ludwig; Gieger, Christian und Klinger, Artur
(1995):
Additive, Dynamic and Multiplicative Regression.
Sonderforschungsbereich 386, Discussion Paper 1
[PDF, 812kB]