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Biller, Clemens and Fahrmeir, Ludwig (2001): Bayesian varying-coefficient models using adaptive regression splines. In: Statistical Modelling, Vol. 1, No. 3: pp. 195-211
Fahrmeir, Ludwig and Gössl, C. (2002): Semiparametric Bayesian models for human brain mapping. In: Statistical Modelling, Vol. 2, No. 3: pp. 235-249
Kauermann, Göran and Mestekemper, Thomas (2012): A short note on quantifying and visualizing yearly variation in online monitored temperature data. In: Statistical Modelling, Vol. 12, No. 2: pp. 195-209
Kneib, Thomas and Hennerfeind, Andrea (2008): Bayesian semiparametric multi-state models. In: Statistical Modelling, Vol. 8, No. 2: pp. 169-198
Wolbring, Tobias (2012): Class Attendance and Students’ Evaluations of Teaching: Do No-Shows Bias Course Ratings and Rankings? In: Evaluation Review, Vol. 36, No. 1: pp. 72-96
Eugster, Manuel J. A. (2011): Archetypal Athletes. Department of Statistics: Technical Reports, No.113
Eugster, Manuel J. A. and Leisch, Friedrich (2009): Exploratory Analysis of Benchmark Experiments -- An Interactive Approach. Department of Statistics: Technical Reports, No.56
Eugster, Manuel J. A. and Leisch, Friedrich (2010): Weighted and Robust Archetypal Analysis. Department of Statistics: Technical Reports, No.82
Eugster, Manuel J. A. and Leisch, Friedrich and Strobl, Carolin (2010): (Psycho-)Analysis of Benchmark Experiments. A Formal Framework for Investigating the Relationship between Data Sets and Learning Algorithms. Department of Statistics: Technical Reports, No.78
Kopf, Julia and Augustin, Thomas and Strobl, Carolin (2010): The potential of model-based recursive partitioning in the social sciences - Revisiting Ockham's Razor. Department of Statistics: Technical Reports, No.88
Kopf, Julia and Zeileis, Achim and Strobl, Carolin (2013): Anchor methods for DIF detection: A comparison of the iterative forward, backward, constant and all-other anchor class. Department of Statistics: Technical Reports, No.141
Oppel, Steffen and Strobl, Carolin and Huettmann, Falk (2009): Alternative methods to quantify variable importance in ecology. Department of Statistics: Technical Reports, No.65
Rieger, Anna and Hothorn, Torsten and Strobl, Carolin (2010): Random Forests with Missing Values in the Covariates. Department of Statistics: Technical Reports, No.79
Schmid, Matthias and Hothorn, Torsten and Maloney, K. O. and Weller, D. E. and Potapov, Sergej (2010): Geoadditive Regression Modeling of Stream Biological Condition. Department of Statistics: Technical Reports, No.86
Shalabh, Shalabh and Heumann, Christian (2011): Simultaneous Prediction of Actual and Average Values of Study Variable Using Stein-rule Estimators. Department of Statistics: Technical Reports, No.104
Strobl, Carolin and Kopf, Julia and Zeileis, Achim (2010): A new method for detecting differential item functioning in the Rasch model. Department of Statistics: Technical Reports, No.92
Strobl, Carolin and Malley, James and Tutz, Gerhard (2009): An Introduction to Recursive Partitioning: Rationale, Application and Characteristics of Classification and Regression Trees, Bagging and Random Forests. Department of Statistics: Technical Reports, No.55
Strobl, Carolin and Wickelmaier, Florian and Zeileis, Achim (2009): Accounting for Individual Differences in Bradley-Terry Models by Means of Recursive Partitioning. Department of Statistics: Technical Reports, No.54
Walter, Gero and Augustin, Thomas (2009): Bayesian Linear Regression. Different Conjugate Models and Their (In)Sensitivity to Prior-Data Conflict. Department of Statistics: Technical Reports, No.69