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Gerhard Tutz
Gerhard Tutz
Unknown affiliation
Verified email at stat.uni-muenchen.de
Title
Cited by
Cited by
Year
Multivariate statistical modelling based on generalized linear models
G Tutz, L Fahrmeir
Springerverlag, New York, 1994
2875*1994
An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests.
C Strobl, J Malley, G Tutz
Psychological methods 14 (4), 323, 2009
27882009
Statistik: Der weg zur datenanalyse
L Fahrmeir, C Heumann, R Künstler, I Pigeot, G Tutz
Springer-Verlag, 2016
20672016
Multivariate statistische verfahren
L Fahrmeir, A Hamerle, G Tutz
Walter de Gruyter GmbH & Co KG, 2015
10152015
Regression for categorical data
G Tutz
Cambridge University Press, 2011
4932011
Variable selection for generalized linear mixed models by L 1-penalized estimation
A Groll, G Tutz
Statistics and Computing 24, 137-154, 2014
3052014
Sequential item response models with an ordered response
G Tutz
British Journal of Mathematical and Statistical Psychology 43 (1), 39-55, 1990
2861990
Generalized additive modeling with implicit variable selection by likelihood-based boosting
G Tutz, H Binder
Biometrics 62 (4), 961-971, 2006
2462006
Die Analyse kategorialer Daten-eine anwendungsorientierte Einf uhrung in Logit-Modellierung und kategoriale Regression
G Tutz
Munchen: Oldenbourg, 2000
2292000
Random forest for ordinal responses: prediction and variable selection
S Janitza, G Tutz, AL Boulesteix
Computational Statistics & Data Analysis 96, 57-73, 2016
2092016
Modeling discrete time-to-event data
G Tutz, M Schmid
Springer, 2016
2002016
Random effects in ordinal regression models
G Tutz, W Hennevogl
Computational Statistics & Data Analysis 22 (5), 537-557, 1996
1781996
Sequential models in categorical regression
G Tutz
Computational Statistics & Data Analysis 11 (3), 275-295, 1991
1731991
Variable selection and model choice in geoadditive regression models
T Kneib, T Hothorn, G Tutz
Biometrics 65 (2), 626-634, 2009
1652009
Improved methods for the imputation of missing data by nearest neighbor methods
G Tutz, S Ramzan
Computational Statistics & Data Analysis 90, 84-99, 2015
1482015
Boosting ridge regression
G Tutz, H Binder
Computational Statistics & Data Analysis 51 (12), 6044-6059, 2007
1442007
Sparse modeling of categorial explanatory variables
J Gertheiss, G Tutz
1312010
A penalty approach to differential item functioning in Rasch models
G Tutz, G Schauberger
Psychometrika 80, 21-43, 2015
1302015
Dynamic stochastic models for time-dependent ordered paired comparison systems
L Fahrmeir, G Tutz
Journal of the American Statistical Association 89 (428), 1438-1449, 1994
1241994
Penalized regression with correlation-based penalty
G Tutz, J Ulbricht
Statistics and Computing 19, 239-253, 2009
1182009
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