Achim Zeileis

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 18

Top Topics

Color Difference

Risk Assessment

Machine Learning

Ridge Regression

Top Venues

J. Stat. Softw.

Publications

Isabell Stucke, Deborah Morgenstern, Georg J. Mayr, Thorsten Simon, Achim Zeileis, Gerhard Diendorfer, Wolfgang Schulz, Hannes Pichler
Spatio-seasonal risk assessment of upward lightning at tall objects using meteorological reanalysis data. CoRR (2024)
Reto Stauffer, Achim Zeileis
colorspace: A Python Toolbox for Manipulating and Assessing Colors and Palettes. CoRR (2024)
Isabell Stucke, Deborah Morgenstern, Thorsten Simon, Georg J. Mayr, Achim Zeileis, Gerhard Diendorfer, Wolfgang Schulz, Hannes Pichler
Upward lightning at wind turbines: Risk assessment from larger-scale meteorology. CoRR (2023)
Achim Zeileis, Paul Murrell
Coloring in R's Blind Spot. R J. 15 (3) (2023)
Torsten Hothorn, Achim Zeileis
Predictive Distribution Modeling Using Transformation Forests. J. Comput. Graph. Stat. 30 (4) (2021)
Nikolaus Umlauf, Nadja Klein, Thorsten Simon, Achim Zeileis
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond). J. Stat. Softw. 100 (4) (2021)
Andreas Groll, Lars Magnus Hvattum, Christophe Ley, Franziska Popp, Gunther Schauberger, Hans Van Eetvelde, Achim Zeileis
Hybrid Machine Learning Forecasts for the UEFA EURO 2020. CoRR (2021)
Achim Zeileis, Jason C. Fisher, Kurt Hornik, Ross Ihaka, Claire D. McWhite, Paul Murrell, Reto Stauffer, Claus O. Wilke
colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes. J. Stat. Softw. 96 (1) (2020)
Achim Zeileis, Susanne Köll, Nathaniel Graham
Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R. J. Stat. Softw. 95 (1) (2020)
Achim Zeileis
The R System: From Open Source to Open Science - An Insider's View. SE (2020)
Achim Zeileis, Jason C. Fisher, Kurt Hornik, Ross Ihaka, Claire D. McWhite, Paul Murrell, Reto Stauffer, Claus O. Wilke
colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes. CoRR (2019)
Heidi Seibold, Torsten Hothorn, Achim Zeileis
Generalised linear model trees with global additive effects. Adv. Data Anal. Classif. 13 (3) (2019)
Nikolaus Umlauf, Nadja Klein, Thorsten Simon, Achim Zeileis
bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond). CoRR (2019)
Andreas Groll, Christophe Ley, Gunther Schauberger, Hans Van Eetvelde, Achim Zeileis
Hybrid Machine Learning Forecasts for the FIFA Women's World Cup 2019. CoRR (2019)
Malte von Mehren, Fabian Gieseke, Jan Verbesselt, Sabina Rosca, Stéphanie Horion, Achim Zeileis
Massively-parallel break detection for satellite data. SSDBM (2018)
Malte von Mehren, Fabian Gieseke, Jan Verbesselt, Sabina Rosca, Stéphanie Horion, Achim Zeileis
Massively-Parallel Break Detection for Satellite Data. CoRR (2018)
Jakob W. Messner, Georg J. Mayr, Achim Zeileis
Heteroscedastic Censored and Truncated Regression with crch. R J. 8 (1) (2016)
Torsten Hothorn, Achim Zeileis
Partykit: a modular toolkit for recursive partytioning in R. J. Mach. Learn. Res. 16 (2015)
Peter Filzmoser, Cristian Gatu, Achim Zeileis
Special issue on statistical algorithms and software in R. Comput. Stat. Data Anal. 71 (2014)
Rogier de Jong, Jan Verbesselt, Achim Zeileis, Michael E. Schaepman
Shifts in Global Vegetation Activity Trends. Remote. Sens. 5 (3) (2013)
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, Paolo Foschi, Christian Francq, Ana-María Fuertes, Gary Koop, Lynda Khalaf, Marc Paolella, D. S. G. Pollock, Esther Ruiz, Richard Paap, Tommaso Proietti, Peter Winker, Philip L. H. Yu, Jean-Michel Zakoian, Achim Zeileis
The Annals of Computational and Financial Econometrics, first issue. Comput. Stat. Data Anal. 56 (11) (2012)
Kurt Hornik, Duncan J. Murdoch, Achim Zeileis
Who Did What? The Roles of R Package Authors and How to Refer to Them. R J. 4 (1) (2012)
Achim Zeileis, Ajay Shah, Ila Patnaik
Testing, monitoring, and dating structural changes in exchange rate regimes. Comput. Stat. Data Anal. 54 (6) (2010)
Kurt Hornik, Christian Buchta, Achim Zeileis
Open-source machine learning: R meets Weka. Comput. Stat. 24 (2) (2009)
Stefan Theußl, Achim Zeileis
Collaborative Software Development Using R-Forge. R J. 1 (1) (2009)
Carolin Strobl, Torsten Hothorn, Achim Zeileis
Party on! R J. 1 (2) (2009)
Michaela Maria Schaffhauser-Linzatti, Achim Zeileis, Marion S. Rauner
Effects of the Austrian performance-oriented inpatient reimbursement system on treatment patterns: illustrated on cases with knee-joint problems. Central Eur. J. Oper. Res. 17 (3) (2009)
Achim Zeileis, Kurt Hornik, Paul Murrell
Escaping RGBland: Selecting colors for statistical graphics. Comput. Stat. Data Anal. 53 (9) (2009)
Carolin Strobl, Anne-Laure Boulesteix, Thomas Kneib, Thomas Augustin, Achim Zeileis
Conditional variable importance for random forests. BMC Bioinform. 9 (2008)
Carolin Strobl, Anne-Laure Boulesteix, Achim Zeileis, Torsten Hothorn
Bias in random forest variable importance measures: Illustrations, sources and a solution. BMC Bioinform. 8 (2007)
Michael Schauerhuber, Achim Zeileis, David Meyer, Kurt Hornik
Benchmarking Open-Source Tree Learners in R/RWeka. GfKl (2007)
Achim Zeileis
Implementing a class of structural change tests: An econometric computing approach. Comput. Stat. Data Anal. 50 (11) (2006)
Achim Zeileis, Christian Kleiber, Walter Krämer, Kurt Hornik
Testing and dating of structural changes in practice. Comput. Stat. Data Anal. 44 (1-2) (2003)
Marion S. Rauner, Achim Zeileis, Michaela Maria Schaffhauser-Linzatti, Kurt Hornik
Modelling the effects of the Austrian inpatient reimbursement system on length-of-stay distributions. OR Spectr. 25 (2) (2003)