Testing and dating of structural changes in practice. - Achim Zeileis; Christian Kleiber; Walter Krämer; Kurt Hornik (Comput. Stat. Data Anal., 2003)

Modelling the effects of the Austrian inpatient reimbursement system on length-of-stay distributions. - Marion S. Rauner; Achim Zeileis; Michaela Maria Schaffhauser-Linzatti; Kurt Hornik (OR Spectr., 2003)

Implementing a class of structural change tests: An econometric computing approach. - Achim Zeileis (Comput. Stat. Data Anal., 2006)

Benchmarking Open-Source Tree Learners in R/RWeka. - Michael Schauerhuber; Achim Zeileis; David Meyer; Kurt Hornik (GfKl, 2007)

Bias in random forest variable importance measures: Illustrations, sources and a solution. - Carolin Strobl; Anne-Laure Boulesteix; Achim Zeileis; Torsten Hothorn (BMC Bioinform., 2007)

Conditional variable importance for random forests. - Carolin Strobl; Anne-Laure Boulesteix; Thomas Kneib; Thomas Augustin 001; Achim Zeileis (BMC Bioinform., 2008)

Effects of the Austrian performance-oriented inpatient reimbursement system on treatment patterns: illustrated on cases with knee-joint problems. - Michaela Maria Schaffhauser-Linzatti; Achim Zeileis; Marion S. Rauner (Central Eur. J. Oper. Res., 2009)

Escaping RGBland: Selecting colors for statistical graphics. - Achim Zeileis; Kurt Hornik; Paul Murrell (Comput. Stat. Data Anal., 2009)

Open-source machine learning: R meets Weka. - Kurt Hornik; Christian Buchta; Achim Zeileis (Comput. Stat., 2009)

Party on! - Carolin Strobl; Torsten Hothorn; Achim Zeileis (R J., 2009)

Collaborative Software Development Using R-Forge. - Stefan Theußl; Achim Zeileis (R J., 2009)

Testing, monitoring, and dating structural changes in exchange rate regimes. - Achim Zeileis; Ajay Shah; Ila Patnaik (Comput. Stat. Data Anal., 2010)

The Annals of Computational and Financial Econometrics, first issue. - David A. Belsley; Erricos John Kontoghiorghes; Herman K. van Dijk; Luc Bauwens; Siem Jan Koopman; Michael McAleer; Alessandra Amendola; Monica Billio; Christophe Croux; Cathy W. S. Chen; Russell Davidson; Pierre Duchesne; et al. (Comput. Stat. Data Anal., 2012)

Who Did What? The Roles of R Package Authors and How to Refer to Them. - Kurt Hornik; Duncan J. Murdoch; Achim Zeileis (R J., 2012)

Shifts in Global Vegetation Activity Trends. - Rogier de Jong; Jan Verbesselt; Achim Zeileis; Michael E. Schaepman (Remote. Sens., 2013)

Special issue on statistical algorithms and software in R. - Peter Filzmoser; Cristian Gatu; Achim Zeileis (Comput. Stat. Data Anal., 2014)

Partykit: a modular toolkit for recursive partytioning in R. - Torsten Hothorn; Achim Zeileis (J. Mach. Learn. Res., 2015)

Heteroscedastic Censored and Truncated Regression with crch. - Jakob W. Messner; Georg J. Mayr; Achim Zeileis (R J., 2016)

Massively-parallel break detection for satellite data. - Malte von Mehren; Fabian Gieseke; Jan Verbesselt; Sabina Rosca; Stéphanie Horion; Achim Zeileis (SSDBM, 2018)

Generalised linear model trees with global additive effects. - Heidi Seibold; Torsten Hothorn; Achim Zeileis (Adv. Data Anal. Classif., 2019)

Hybrid Machine Learning Forecasts for the FIFA Women's World Cup 2019. - Andreas Groll; Christophe Ley; Gunther Schauberger; Hans Van Eetvelde; Achim Zeileis (CoRR, 2019)

The R System: From Open Source to Open Science - An Insider's View. - Achim Zeileis (SE, 2020)

colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes. - Achim Zeileis; Jason C. Fisher; Kurt Hornik; Ross Ihaka; Claire D. McWhite; Paul Murrell; Reto Stauffer; Claus O. Wilke (J. Stat. Softw., 2020)

Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R. - Achim Zeileis; Susanne Köll; Nathaniel Graham (J. Stat. Softw., 2020)

Hybrid Machine Learning Forecasts for the UEFA EURO 2020. - Andreas Groll; Lars Magnus Hvattum; Christophe Ley; Franziska Popp; Gunther Schauberger; Hans Van Eetvelde; Achim Zeileis (CoRR, 2021)

Predictive Distribution Modeling Using Transformation Forests. - Torsten Hothorn; Achim Zeileis (J. Comput. Graph. Stat., 2021)

bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond). - Nikolaus Umlauf; Nadja Klein; Thorsten Simon; Achim Zeileis (J. Stat. Softw., 2021)

Upward lightning at wind turbines: Risk assessment from larger-scale meteorology. - Isabell Stucke; Deborah Morgenstern; Thorsten Simon; Georg J. Mayr; Achim Zeileis; Gerhard Diendorfer; Wolfgang Schulz; Hannes Pichler (CoRR, 2023)

Coloring in R's Blind Spot. - Achim Zeileis; Paul Murrell (R J., 2023)

Spatio-seasonal risk assessment of upward lightning at tall objects using meteorological reanalysis data. - Isabell Stucke; Deborah Morgenstern; Georg J. Mayr; Thorsten Simon; Achim Zeileis; Gerhard Diendorfer; Wolfgang Schulz; Hannes Pichler (CoRR, 2024)

Modeling and Prediction of the UEFA EURO 2024 via Combined Statistical Learning Approaches. - Andreas Groll; Lars Magnus Hvattum; Christophe Ley; Jonas Sternemann; Gunther Schauberger; Achim Zeileis (CoRR, 2024)

colorspace: A Python Toolbox for Manipulating and Assessing Colors and Palettes. - Reto Stauffer; Achim Zeileis (J. Open Source Softw., 2024)

Foehn reconstruction for station Ellbögen and Innsbruck. - Reto Stauffer; Achim Zeileis; Georg J. Mayr (Universität Innsbruck - Data Repository, 2024)

Remembering Friedrich "Fritz" Leisch. - Bettina Grün; Kurt Hornik; Torsten Hothorn; Theresa Scharl; Achim Zeileis (R J., 2025)