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, Forthcoming.

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, Forthcoming.

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.