Publications overview

Lists of publications with links to publisher version and/or PDF preprints:
Refereed publications | Books and collections | Technical reports | Talks | Software
Some important refereed papers are highlighted below.

Statistical software

partykit
Hothorn, Zeileis (2015). partykit: A Modular Toolkit for Recursive Partytioning in R, Journal of Machine Learning Research, 16, 3905-3909. [software]

countreg
Zeileis, Kleiber, Jackman (2008). Regression Models for Count Data in R, Journal of Statistical Software, 27(8), 1-25. [software]

Tree models

mob
Zeileis, Hothorn, Hornik (2008). Model-Based Recursive Partitioning, Journal of Computational and Graphical Statistics, 17(2), 492-514

ctree
Hothorn, Hornik, Zeileis (2006). Unbiased Recursive Partitioning: A Conditional Inference Framework, Journal of Computational and Graphical Statistics, 15(3), 651-674.

Random forests

treatment forest
Seibold, Zeileis, Hothorn (2018). Individual Treatment Effect Prediction for Amyotrophic Lateral Sclerosis Patients, Statistical Methods in Medical Research, 27(10), 3104-3125.

variable importance bias
Strobl, Boulesteix, Zeileis, Hothorn (2007). Bias in Random Forest Variable Importance Measures: Illustrations, Sources and a Solution, BMC Bioinformatics, 8(25).

Weather forecasting

samos
Dabernig, Mayr, Messner, Zeileis (2017). Spatial Ensemble Post-Processing with Standardized Anomalies, Quarterly Journal of the Royal Meteorological Society, 143(703), 909-916.

non-homogenous boosting
Messner, Mayr, Zeileis (2017). Non-Homogeneous Boosting for Predictor Selection in Ensemble Post-Processing, Monthly Weather Review, 145(1), 137-147.

Psychometrics

glmertree
Fokkema, Smits, Zeileis, Hothorn, Kelderman (2018). Detecting Treatment-Subgroup Interactions in Clustered Data with Generalized Linear Mixed-Effects Model Trees, Behavior Research Methods, 50(5), 2016-2034.

measurement invariance
Merkle, Zeileis (2013). Tests of Measurement Invariance without Subgroups: A Generalization of Classical Methods, Psychometrika, 78(1), 59-82.

Miscellaneous

R motivation
Mair, Hofmann, Gruber, Hatzinger, Zeileis, Hornik (2015). Motivation, Values, and Work Design as Drivers of Participation in the R Open Source Project for Statistical Computing, PNAS - Proceedings of the National Academy of Sciences of the United States of America, 112(48), 14788-14792.

color
Zeileis, Hornik, Murrell (2009). Escaping RGBland: Selecting Colors for Statistical Graphics, Computational Statistics & Data Analysis, 53(9), 3259-3270.