Refereed publications

  • Thomas Muschinski, Georg J. Mayr, Thorsten Simon, Nikolaus Umlauf, Achim Zeileis (2024). “Cholesky-Based Multivariate Gaussian Regression.” Econometrics and Statistics, 29(1), 261-281. doi:10.1016/j.ecosta.2022.03.001bib ]

  • Isabell Stucke, Deborah Morgenstern, Gerhard Diendorfer, Georg J. Mayr, Hannes Pichler, Wolfgang Schulz, Thorsten Simon, Achim Zeileis (2024). “Upward Lightning at Wind Turbines: Risk Assessment from Larger-Scale Meteorology.” Journal of Geophysical Research: Atmospheres, 129(1), e2023JD039505. doi:10.1029/2023JD039505bib ]

  • Achim Zeileis, Paul Murrell (2023). “Coloring in R’s Blind Spot.” The R Journal, 15(3), 240-256. doi:10.32614/RJ-2023-071bib ]

  • Thomas Muschinski, Georg J. Mayr, Achim Zeileis, Thorsten Simon (2023). “Robust Weather-Adaptive Postprocessing Using Model Output Statistics Random Forests.” Nonlinear Processes in Geophysics, 30(4), 503-514. doi:10.5194/npg-30-503-2023bib ]

  • M. Cristina Miranda, Achim Zeileis (2023). “Online Tests with R/exams: A Fundamental Tool for STEM (Science, Technology, Engineering and Mathematics) Teachers.” In EDULEARN23 Proceedings., 15th International Conference on Education and New Learning Technologies, 196-201. ISBN 978-84-09-52151-7, doi:10.21125/edulearn.2023.0101bib ]

  • Deborah Morgenstern, Isabell Stucke, Georg J. Mayr, Achim Zeileis, Thorsten Simon (2023). “Thunderstorm Environments in Europe.” Weather and Climate Dynamics, 4(2), 489-509. doi:10.5194/wcd-4-489-2023bib ]

  • Isabell Stucke, Deborah Morgenstern, Gerhard Diendorfer, Georg J. Mayr, Hannes Pichler, Wolfgang Schulz, Thorsten Simon, Achim Zeileis (2023). “Upward Lightning at the Gaisberg Tower: The Larger-Scale Meteorological Influence on the Triggering Mode and Flash Type.” Journal of Geophysical Research: Atmospheres, 128(10), e2022JD037776. doi:10.1029/2022JD037776bib ]

  • Thorsten Simon, Georg J. Mayr, Deborah Morgenstern, Nikolaus Umlauf, Achim Zeileis (2023). “Amplification of Annual and Diurnal Cycles of Alpine Lightning.” Climate Dynamics, 61(9-10), 4125-4137. doi:10.1007/s00382-023-06786-8bib ]

  • Thomas Muschinski, Moritz N. Lang, Georg J. Mayr, Jakob W. Messner, Achim Zeileis, Thorsten Simon (2022). “Predicting Power Ramps from Joint Distributions of Future Wind Speeds.” Wind Energy Science, 7(6), 2393-2405. doi:10.5194/wes-7-2393-2022bib ]

  • Deborah Morgenstern, Isabell Stucke, Thorsten Simon, Georg J. Mayr, Achim Zeileis (2022). “Differentiating Lightning in Winter and Summer with Characteristics of the Wind Field and Mass Field.” Weather and Climate Dynamics, 3(1), 361-375. doi:10.5194/wcd-3-361-2022bib ]

  • Lennart Schneider, Carolin Strobl, Achim Zeileis, Rudolf Debelak (2022). “An R Toolbox for Score-Based Measurement Invariance Tests in IRT Models.” Behavior Research Methods, 54(5), 2101-2113. doi:10.3758/s13428-021-01689-0bib ]

  • Torsten Hothorn, Achim Zeileis (2021). “Predictive Distribution Modeling Using Transformation Forests.” Journal of Computational and Graphical Statistics, 30(4), 1181-1196. doi:10.1080/10618600.2021.1872581bib ]

  • Nikolaus Umlauf, Nadja Klein, Thorsten Simon, Achim Zeileis (2021). “bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond).” Journal of Statistical Software, 100(4), 1-53. doi:10.18637/jss.v100.i04bib ]

  • Carolin Strobl, Julia Kopf, Lucas Kohler, Timo von Oertzen, Achim Zeileis (2021). “Anchor Point Selection: Scale Alignment Based on an Inequality Criterion.” Applied Psychological Measurement, 45(3), 214-230. doi:10.1177/0146621621990743bib ]

  • Payton J. Jones, Patrick Mair, Thorsten Simon, Achim Zeileis (2020). “Network Trees: A Method for Recursively Partitioning Covariance Structures.” Psychometrika, 85(4), 926-945. doi:10.1007/s11336-020-09731-4bib | pdf ]

  • Achim Zeileis, Jason C. Fisher, Kurt Hornik, Ross Ihaka, Claire D. McWhite, Paul Murrell, Reto Stauffer, Claus O. Wilke (2020). “colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes.” Journal of Statistical Software, 96(1), 1-49. doi:10.18637/jss.v096.i01bib ]

  • Achim Zeileis, Susanne Köll, Nathaniel Graham (2020). “Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R.” Journal of Statistical Software, 95(1), 1-36. doi:10.18637/jss.v095.i01bib ]

  • Moritz N. Lang, Lisa Schlosser, Torsten Hothorn, Georg J. Mayr, Reto Stauffer, Achim Zeileis (2020). “Circular Regression Trees and Forests with an Application to Probabilistic Wind Direction Forecasting.” Journal of the Royal Statistical Society C, 69(5), 1357-1374. doi:10.1111/rssc.12437bib ]

  • Moritz N. Lang, Georg J. Mayr, Lisa Schlosser, Thorsten Simon, Reto Stauffer, Achim Zeileis (2020). “Multivariate Distributional Regression Forests for Probabilistic Nowcasting of Wind Profiles.” In Itziar Irigoien, Dae-Jin Lee, Joaquín Martínez-Minaya, María Xose Rodríguez-Álvarez (eds.), Proceedings of the 35th International Workshop on Statistical Modelling., 142-147. Universidad del País Vasco, Bilbao. [ bib | pdf ]

  • Thomas Muschinski, Georg J. Mayr, Thorsten Simon, Achim Zeileis (2020). “Cholesky-Based Multivariate Gaussian Regression.” In Itziar Irigoien, Dae-Jin Lee, Joaquín Martínez-Minaya, María Xose Rodríguez-Álvarez (eds.), Proceedings of the 35th International Workshop on Statistical Modelling., 382-385. Universidad del País Vasco, Bilbao. [ bib | pdf ]

  • Marc Hofmann, Cristian Gatu, Erricos J. Kontoghiorghes, Ana Colubi, Achim Zeileis (2020). “lmSubsets: Exact Variable-Subset Selection in Linear Regression for R.” Journal of Statistical Software, 93(3), 1-21. doi:10.18637/jss.v093.i03bib ]

  • Moritz N. Lang, Sebastian Lerch, Georg J. Mayr, Thorsten Simon, Reto Stauffer, Achim Zeileis (2020). “Remember the Past: A Comparison of Time-Adaptive Training Schemes for Non-Homogeneous Regression.” Nonlinear Processes in Geophysics, 27(1), 23-34. doi:10.5194/npg-27-23-2020bib ]

  • Heidi Kammerlander, Lisa Schlosser, Bernhard Zeiringer, Günther Unfer, Achim Zeileis, Markus Aufleger (2020). “Downstream Passage Behavior of Potamodromous Fishes at the Fish Protection and Guidance System `Flexible Fish Fence’.” Ecological Engineering, 143(15), 105698. doi:10.1016/j.ecoleng.2019.105698bib ]

  • Lisa Schlosser, Torsten Hothorn, Reto Stauffer, Achim Zeileis (2019). “Distributional Regression Forests for Probabilistic Precipitation Forecasting in Complex Terrain.” The Annals of Applied Statistics, 13(3), 1564-1589. doi:10.1214/19-AOAS1247bib | https ]

  • Heidi Seibold, Torsten Hothorn, Achim Zeileis (2019). “Generalised Linear Model Trees with Global Additive Effects.” Advances in Data Analysis and Classification, 13(3), 703-725. doi:10.1007/s11634-018-0342-1bib | pdf ]

  • Lisa Schlosser, Moritz N. Lang, Torsten Hothorn, Georg J. Mayr, Reto Stauffer, Achim Zeileis (2019). “Distributional Trees for Circular Data.” In Luís Meira-Machado, Gustavo Soutinho (eds.), Proceedings of the 34th International Workshop on Statistical Modelling., Volume 1, 226-231. Instituto Nacional de Estatística, Guimarães. [ bib | pdf ]

  • Moritz N. Lang, Georg J. Mayr, Reto Stauffer, Achim Zeileis (2019). “Correlation Effects in a Bivariate Gaussian Regression Model for Wind Vectors.” In Luís Meira-Machado, Gustavo Soutinho (eds.), Proceedings of the 34th International Workshop on Statistical Modelling., Volume 2, 58-61. Instituto Nacional de Estatística, Guimarães. [ bib | pdf ]

  • Moritz N. Lang, Georg J. Mayr, Reto Stauffer, Achim Zeileis (2019). “Bivariate Gaussian Models for Wind Vectors in a Distributional Regression Framework.” Advances in Statistical Climatology, Meteorology and Oceanography, 5(2), 115-132. doi:10.5194/ascmo-5-115-2019bib ]

  • Sebastian J. Dietz, Philipp Kneringer, Georg J. Mayr, Achim Zeileis (2019). “Low-Visibility Forecasts for Different Flight Planning Horizons Using Tree-Based Boosting Models.” Advances in Statistical Climatoloy, Meteorology and Oceanography, 5(1), 101-114. doi:10.5194/ascmo-5-101-2019bib ]

  • Manuel Gebetsberger, Reto Stauffer, Georg J. Mayr, Achim Zeileis (2019). “Skewed Logistic Distribution for Statistical Temperature Post-Processing in Mountainous Areas.” Advances in Statistical Climatoloy, Meteorology and Oceanography, 5(1), 87-100. doi:10.5194/ascmo-5-87-2019bib ]

  • Sebastian J. Dietz, Philipp Kneringer, Georg J. Mayr, Achim Zeileis (2019). “Forecasting Low-Visibility Procedure States with Tree-Based Statistical Methods.” Pure and Applied Geophysics, 176(6), 2645-2658. The original version of the article was erroneously published with certain typesetting problems in the same volume on pages 2631-2644 at doi:10.1007/s00024-018-1993-8. doi:10.1007/s00024-018-1914-xbib ]

  • Philipp Kneringer, Sebastian J. Dietz, Georg J. Mayr, Achim Zeileis (2019). “Probabilistic Nowcasting of Low-Visibility Procedure States at Vienna International Airport during Cold Season.” Pure and Applied Geophysics, 176(5), 2165-2177. doi:10.1007/s00024-018-1863-4bib ]

  • Heidi Seibold, Achim Zeileis, Torsten Hothorn (2019). “model4you: An R Package for Personalised Treatment Effect Estimation.” Journal of Open Research Software, 7(17), 1-6. doi:10.5334/jors.219bib ]

  • Thorsten Simon, Georg J. Mayr, Nikolaus Umlauf, Achim Zeileis (2019). “NWP-Based Lightning Prediction Using Flexible Count Data Regression.” Advances in Statistical Climatoloy, Meteorology and Oceanography, 5(1), 1-16. doi:10.5194/ascmo-5-1-2019bib ]

  • Martin Wagner, Achim Zeileis (2019). “Heterogeneity and Spatial Dependence of Regional Growth in the EU: A Recursive Partitioning Approach.” German Economic Review, 20(1), 67-82. doi:10.1111/geer.12146bib | pdf ]

  • Reto Stauffer, Georg J. Mayr, Jakob W. Messner, Achim Zeileis (2018). “Hourly Probabilistic Snow Forecasts over Complex Terrain: A Hybrid Ensemble Postprocessing Approach.” Advances in Statistical Climatoloy, Meteorology and Oceanography, 4(1/2), 65-86. doi:10.5194/ascmo-4-65-2018bib ]

  • Manuel Gebetsberger, Jakob W. Messner, Georg J. Mayr, Achim Zeileis (2018). “Estimation Methods for Nonhomogeneous Regression Models: Minimum Continuous Ranked Probability Score versus Maximum Likelihood.” Monthly Weather Review, 146(12), 4323-4338. doi:10.1175/MWR-D-17-0364.1bib ]

  • Nikolaus Umlauf, Nadja Klein, Achim Zeileis (2018). “BAMLSS: Bayesian Additive Models for Location, Scale and Shape (and Beyond).” Journal of Computational and Graphical Statistics, 27(3), 612-627. doi:10.1080/10618600.2017.1407325bib ]

  • Marjolein Fokkema, Niels Smits, Achim Zeileis, Torsten Hothorn, Henk Kelderman (2018). “Detecting Treatment-Subgroup Interactions in Clustered Data with Generalized Linear Mixed-Effects Model Trees.” Behavior Research Methods, 50(5), 2016-2034. doi:10.3758/s13428-017-0971-xbib ]

  • Heidi Seibold, Achim Zeileis, Torsten Hothorn (2018). “Individual Treatment Effect Prediction for Amyotrophic Lateral Sclerosis Patients.” Statistical Methods in Medical Research, 27(10), 3104-3125. doi:10.1177/0962280217693034bib ]

  • Thorsten Simon, Peter Fabsic, Georg J. Mayr, Nikolaus Umlauf, Achim Zeileis (2018). “Probabilistic Forecasting of Thunderstorms in the Eastern Alps.” Monthly Weather Review, 146(9), 2999-3009. doi:10.1175/MWR-D-17-0366.1bib ]

  • Florian Wickelmaier, Achim Zeileis (2018). “Using Recursive Partitioning to Account for Parameter Heterogeneity in Multinomial Processing Tree Models.” Behavior Research Methods, 50(3), 1217-1233. doi:10.3758/s13428-017-0937-zbib | pdf ]

  • Ting Wang, Carolin Strobl, Achim Zeileis, Edgar C. Merkle (2018). “Score-Based Tests of Differential Item Functioning via Pairwise Maximum Likelihood Estimation.” Psychometrika, 83(1), 132-155. doi:10.1007/s11336-017-9591-8bib | pdf ]

  • Malte von Mehren, Fabian Gieseke, Jan Verbesselt, Sabina Rosca, Stéphanie Horion, Achim Zeileis (2018). “Massively-Parallel Break Detection for Satellite Data.” In Proceedings of the 30th International Conference on Scientific and Statistical Database Management., SSDBM ‘18, 5:1-5:10. ISBN 978-1-4503-6505-5, doi:10.1145/3221269.3223032bib ]

  • Christian Pfeifer, Peter Höller, Achim Zeileis (2018). “Spatial and Temporal Analysis of Fatal Off-Piste and Backcountry Avalanche Accidents in Austria with a Comparison of Results in Switzerland, France, Italy and the US.” Natural Hazards and Earth System Sciences, 18, 571-582. doi:10.5194/nhess-18-571-2018bib ]

  • Michel Philipp, Carolin Strobl, Jimmy de la Torre, Achim Zeileis (2018). “On the Estimation of Standard Errors in Cognitive Diagnosis Models.” Journal of Educational and Behavioral Statistics, 43(1), 88-115. doi:10.3102/1076998617719728bib | pdf ]

  • Basil Komboz, Carolin Strobl, Achim Zeileis (2018). “Tree-Based Global Model Tests for Polytomous Rasch Models.” Educational and Psychological Measurement, 78(1), 128-166. doi:10.1177/0013164416664394bib | pdf ]

  • Manuel Gebetsberger, Jakob W. Messner, Georg J. Mayr, Achim Zeileis (2017). “Fine-Tuning Non-Homogeneous Regression for Probabilistic Precipitation Forecasts: Unanimous Predictions, Heavy Tails, and Link Functions.” Monthly Weather Review, 145(11), 4693-4708. doi:10.1175/MWR-D-16-0388.1bib ]

  • Markus Dabernig, Georg J. Mayr, Jakob W. Messner, Achim Zeileis (2017). “Simultaneous Ensemble Postprocessing for Multiple Lead Times with Standardized Anomalies.” Monthly Weather Review, 145(7), 2523-2531. doi:10.1175/MWR-D-16-0413.1bib ]

  • Susanne Berger, Herbert Stocker, Achim Zeileis (2017). “Innovation and Institutional Ownership Revisited: An Empirical Investigation with Count Data Models.” Empirical Economics, 52(4), 1675-1688. doi:10.1007/s00181-016-1118-0bib | pdf ]

  • Markus Dabernig, Georg J. Mayr, Jakob W. Messner, Achim Zeileis (2017). “Spatial Ensemble Post-Processing with Standardized Anomalies.” Quarterly Journal of the Royal Meteorological Society, 143(703), 909-916. doi:10.1002/qj.2975bib ]

  • Reto Stauffer, Nikolaus Umlauf, Jakob W. Messner, Georg J. Mayr, Achim Zeileis (2017). “Ensemble Post-Processing of Daily Precipitation Sums over Complex Terrain Using Censored High-Resolution Standardized Anomalies.” Monthly Weather Review, 45(3), 955-969. doi:10.1175/MWR-D-16-0260.1bib ]

  • Reto Stauffer, Jakob W. Messner, Georg J. Mayr, Nikolaus Umlauf, Achim Zeileis (2017). “Spatio-Temporal Precipitation Climatology over Complex Terrain Using a Censored Additive Regression Model.” International Journal of Climatology, 37(7), 3264-3275. doi:10.1002/joc.4913bib ]

  • Thorsten Simon, Nikolaus Umlauf, Achim Zeileis, Georg J. Mayr, Wolfgang Schulz, Gerhard Diendorfer (2017). “Spatio-Temporal Modelling of Lightning Climatologies for Complex Terrain.” Natural Hazards and Earth System Sciences, 17(3), 305-314. doi:10.5194/nhess-17-305-2017bib ]

  • Jakob W. Messner, Georg J. Mayr, Achim Zeileis (2017). “Non-Homogeneous Boosting for Predictor Selection in Ensemble Post-Processing.” Monthly Weather Review, 145(1), 137-147. doi:10.1175/MWR-D-16-0088.1bib ]

  • Thorsten Simon, Nikolaus Umlauf, Georg J. Mayr, Achim Zeileis (2017). “Boosting Multivariate Gaussian Models for Probabilistic Temperature Forecasts.” In Marco Grzegorczyk, Giacomo Ceoldo (eds.), Proceedings of the 32nd International Workshop on Statistical Modelling., Volume 1, 143-148. University of Groningen. [ bib | pdf ]

  • Manuel Gebetsberger, Georg J. Mayr, Reto Stauffer, Achim Zeileis (2017). “Probabilistic Temperature Post-Processing Using a Skewed Response Distribution.” In Marco Grzegorczyk, Giacomo Ceoldo (eds.), Proceedings of the 32nd International Workshop on Statistical Modelling., Volume 1, 137-142. University of Groningen. [ bib | pdf ]

  • Jan Verbesselt, Nikolaus Umlauf, Marina Hirota, Milena Holmgren, Egbert H. Van Nes, Martin Herold, Achim Zeileis, Marten Scheffer (2016). “Remotely Sensed Resilience of Tropical Forests.” Nature Climate Change, 6(11), 1028-1031. doi:10.1038/nclimate3108bib ]

  • Giovanna Flaim, Emanuele Eccel, Achim Zeileis, Giambattista Toller, Leonardo Cerasino, Ulrike Obertegger (2016). “Effects of Re-Oligotrophication and Climate Change on Lake Thermal Structure.” Freshwater Biology, 61(10), 1802-1814. doi:10.1111/fwb.12819bib ]

  • Jakob W. Messner, Georg J. Mayr, Achim Zeileis (2016). “Heteroscedastic Censored and Truncated Regression with crch.” The R Journal, 8(1), 173-181. doi:10.32614/RJ-2016-012bib ]

  • Michel Philipp, Achim Zeileis, Carolin Strobl (2016). “A Toolkit for Stability Assessment of Tree-Based Learners.” In Ana Colubi, Angela Blanco, Cristian Gatu (eds.), Proceedings of COMPSTAT 2016 - 22nd International Conference on Computational Statistics., 315-325. ISBN 978-90-73592-36-0, [ bib | pdf ]

  • Christian Kleiber, Achim Zeileis (2016). “Visualizing Count Data Regressions Using Rootograms.” The American Statistician, 70(3), 296-303. doi:10.1080/00031305.2016.1173590bib | pdf ]

  • Heidi Seibold, Achim Zeileis, Torsten Hothorn (2016). “Model-Based Recursive Partitioning for Subgroup Analyses.” The International Journal of Biostatistics, 12(1), 45-63. doi:10.1515/ijb-2015-0032bib ]

  • Hedwig Hofstetter, Elise Dusseldorp, Achim Zeileis, Annemarie A. Schuller (2016). “Modeling Caries Experience: Advantages of the Use of the Hurdle Model.” Caries Research, 50(6), 517-526. doi:10.1159/000448197bib ]

  • Sara Vicca, Manuela Balzarolo, Iolanda Filella, André Granier, Mathias Herbst, Alexander Knohl, Bernard Longdoz, Martina Mund, Zoltan Nagy, Krisztina Pintér, Serge Rambal, Jan Verbesselt, Aleixandre Verger, Achim Zeileis, Chao Zhang, Josep Peñuelas (2016). “Remotely-Sensed Detection of Effects of Extreme Droughts on Gross Primary Production.” Scientific Reports, 6(28269), 1-13. doi:10.1038/srep28269bib ]

  • Reto Stauffer, Nikolaus Umlauf, and Jakob W. Messner, Georg J. Mayr, Achim Zeileis (2016). “Ensemble Post-Processing over Complex Terrain Using High-Resolution Anomalies.” In Jen-François Dupuy, Julie Josse (eds.), Proceedings of the 31st International Workshop on Statistical Modelling., Volume 2, 141-144. Institut National des Sciences Appliquées Rennes. [ bib | pdf ]

  • Michael Auer, Harald Hegen, Achim Zeileis, Florian Deisenhammer (2016). “Quantitation of Intrathecal Immunoglobulin Synthesis - A New Empirical Formula.” European Journal of Neurology, 23(4), 713-721. doi:10.1111/ene.12924bib ]

  • Harald Hegen, Michael Auer, Achim Zeileis, Florian Deisenhammer (2016). “Upper Reference Limits for Cerebrospinal Fluid Total Protein and Albumin Quotient Based on a Large Cohort of Control Patients: Implications for Increased Clinical Specificity.” Clinical Chemistry and Laboratory Medicine, 54(2), 285-292. doi:10.1515/cclm-2015-0253bib ]

  • Torsten Hothorn, Achim Zeileis (2015). “partykit: A Modular Toolkit for Recursive Partytioning in R.” Journal of Machine Learning Research, 16, 3905-3909. [ bib | html ]

  • Patrick Mair, Eva Hofmann, Kathrin Gruber, Reinhold Hatzinger, Achim Zeileis, Kurt 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. doi:10.1073/pnas.1506047112bib ]

  • Carolin Strobl, Julia Kopf, Achim Zeileis (2015). “Rasch Trees: A New Method for Detecting Differential Item Functioning in the Rasch Model.” Psychometrika, 80(2), 289-316. doi:10.1007/s11336-013-9388-3bib | pdf ]

  • Nikolaus Umlauf, Reto Stauffer, Jakob W. Messner, Georg J. Mayr, Achim Zeileis (2015). “A Conceptional Lego Toolbox for Bayesian Distributional Regression Models.” In Herwig Friedl, Helga Wagner (eds.), Proceedings of the 30th International Workshop on Statistical Modelling., Volume 2. Johannes Kepler University Linz. [ bib | pdf ]

  • Reto Stauffer, Nikolaus Umlauf, Jakob W. Messner, Georg J. Mayr, Achim Zeileis (2015). “Spatio-Temporal Censored Model of Precipitation Climatology.” In Herwig Friedl, Helga Wagner (eds.), Proceedings of the 30th International Workshop on Statistical Modelling., Volume 1, 366-371. Johannes Kepler University Linz. [ bib | pdf ]

  • Ben DeVries, Mathieu Decuyper, Jan Verbesselt, Achim Zeileis, Martin Herold, Shijo Joseph (2015). “Tracking Disturbance-Regrowth Dynamics in Tropical Forests Using Structural Change Detection and Landsat Time Series.” Remote Sensing of Environment, 169, 320-334. doi:10.1016/j.rse.2015.08.020bib ]

  • Reto Stauffer, Georg J. Mayr, Markus Dabernig, Achim Zeileis (2015). “Somewhere over the Rainbow: How to Make Effective Use of Colors in Meteorological Visualizations.” Bulletin of the American Meteorological Society, 96(2), 203-216. doi:10.1175/BAMS-D-13-00155.1bib ]

  • Hannah Frick, Carolin Strobl, Achim Zeileis (2015). “Rasch Mixture Models for DIF Detection: A Comparison of Old and New Score Specifications.” Educational and Psychological Measurement, 75(2), 208-234. doi:10.1177/0013164414536183bib | pdf ]

  • Nikolaus Umlauf, Daniel Adler, Thomas Kneib, Stefan Lang, Achim Zeileis (2015). “Structured Additive Regression Models: An R Interface to BayesX.” Journal of Statistical Software, 63(21), 1-46. doi:10.18637/jss.v063.i21bib ]

  • Julia Kopf, Achim Zeileis, Carolin Strobl (2015). “A Framework for Anchor Methods and an Iterative Forward Approach for DIF Detection.” Applied Psychological Measurement, 39(2), 83-103. doi:10.1177/0146621614544195bib | pdf ]

  • Julia Kopf, Achim Zeileis, Carolin Strobl (2015). “Anchor Selection Strategies for DIF Analysis: Review, Assessment, and New Approaches.” Educational and Psychological Measurement, 75(1), 22-56. doi:10.1177/0013164414529792bib | pdf ]

  • Daniela Glätzle-Rützler, Matthias Sutter, Achim Zeileis (2015). “No Myopic Loss Aversion in Adolescents? An Experimental Note.” Journal of Economic Behavior & Organization, 111, 169-176. Replication materials in the Harvard Dataverse at https://doi.org/10.7910/DVN/IHFZAK. doi:10.1016/j.jebo.2014.12.021bib ]

  • Edgar C. Merkle, Jinyan Fan, Achim Zeileis (2014). “Testing for Measurement Invariance with Respect to an Ordinal Variable.” Psychometrika, 79(4), 569-584. doi:10.1007/S11336-013-9376-7bib | pdf ]

  • Thomas Windberger, Achim Zeileis (2014). “Structural Breaks in Inflation Dynamics within the European Monetary Union.” Eastern European Economics, 52(3), 66-88. doi:10.2753/EEE0012-8775520304bib | pdf ]

  • Thomas Grubinger, Achim Zeileis, Karl-Peter Pfeiffer (2014). “evtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R.” Journal of Statistical Software, 61(1), 1-29. doi:10.18637/jss.v061.i01bib ]

  • Hannah Frick, Carolin Strobl, Achim Zeileis (2014). “To Split or to Mix? Tree vs. Mixture Models for Detecting Subgroups.” In Manfred Gilli, Gil González-Rodríguez, Alicia Nieto-Reyes (eds.), Proceedings of COMPSTAT 2014 - 21st International Conference on Computational Statistics., 379-386. ISBN 978-2-8399-1347-8, [ bib | pdf ]

  • Achim Zeileis, Nikolaus Umlauf, Friedrich Leisch (2014). “Flexible Generation of E-Learning Exams in R: Moodle Quizzes, OLAT Assessments, and Beyond.” Journal of Statistical Software, 58(1), 1-36. doi:10.18637/jss.v058.i01bib ]

  • Ting Wang, Edgar C. Merkle, Achim Zeileis (2014). “Score-Based Tests of Measurement Invariance: Use in Practice.” Frontiers in Psychology, 5(438). doi:10.3389/fpsyg.2014.00438bib ]

  • Jakob W. Messner, Georg J. Mayr, Daniel S. Wilks, Achim Zeileis (2014). “Extending Extended Logistic Regression: Extended versus Separate versus Ordered versus Censored.” Monthly Weather Review, 142(8), 3003-3014. doi:10.1175/MWR-D-13-00355.1bib ]

  • Jakob W. Messner, Achim Zeileis, Jochen Broecker, Georg J. Mayr (2014). “Probabilistic Wind Power Forecasts with an Inverse Power Curve Transformation and Censored Regression.” Wind Energy, 17(11), 1753-1766. doi:10.1002/we.1666bib ]

  • Jakob W. Messner, Georg J. Mayr, Achim Zeileis, Daniel S. Wilks (2014). “Heteroscedastic Extended Logistic Regression for Postprocessing of Ensemble Guidance.” Monthly Weather Review, 142(1), 448-456. doi:10.1175/MWR-D-13-00271.1bib ]

  • David Plavcan, Georg J. Mayr, Achim Zeileis (2014). “Automatic and Probabilistic Foehn Diagnosis with a Statistical Mixture Model.” Journal of Applied Meteorology and Climatology, 53(3), 652-659. doi:10.1175/JAMC-D-13-0267.1bib | pdf ]

  • Thomas Rusch, Ilro Lee, Kurt Hornik, Wolfgang Jank, Achim Zeileis (2013). “Influencing Elections with Statistics: Targeting Voters with Logistic Regression Trees.” The Annals of Applied Statistics, 7(3), 1612-1639. doi:10.1214/13-AOAS648bib ]

  • Achim Zeileis, Torsten Hothorn (2013). “A Toolbox of Permutation Tests for Structural Change.” Statistical Papers, 54(4), 931-954. doi:10.1007/s00362-013-0503-4bib | pdf ]

  • Thomas Rusch, Achim Zeileis (2013). “Gaining Insight with Recursive Partitioning of Generalized Linear Models.” Journal of Statistical Computation and Simulation, 83(7), 1301-1315. doi:10.1080/00949655.2012.658804bib | pdf ]

  • Edgar C. Merkle, Achim Zeileis (2013). “Tests of Measurement Invariance without Subgroups: A Generalization of Classical Methods.” Psychometrika, 78(1), 59-82. doi:10.1007/s11336-012-9302-4bib | pdf ]

  • André Terwei, Stefan Zerbe, Achim Zeileis, Peter Annighöfer, Heike Kawaletz, Inga Mölder, Christian Ammer (2013). “Which Are the Factors Controlling Tree Seedling Establishment in North Italian Floodplain Forests Invaded by Non-Native Tree Species?.” Forest Ecology and Management, 304, 192-203. doi:10.1016/j.foreco.2013.05.003bib ]

  • Christian Kleiber, Achim Zeileis (2013). “Reproducible Econometric Simulations.” Journal of Econometric Methods, 2(1), 89-99. doi:10.1515/jem-2012-0004bib | pdf ]

  • Rogier De Jong, Jan Verbesselt, Achim Zeileis, Michael E. Schaepman (2013). “Shifts in Global Vegetation-Activity Trends.” Remote Sensing, 5(3), 1117-1133. doi:10.3390/rs5031117bib ]

  • Christian Pfeifer, Peter Höller, Achim Zeileis (2013). “Trend and Regional Analysis of Fatal Off-Piste and Backcountry Avalanche Accidents in Austria within the Years 1968 and 2011.” In Vito M. R. Muggeo, Vincenza Capursi, Giovanni Boscaino, Gianfranco Lovison (eds.), Proceedings of the 28th International Workshop on Statistical Modelling., 743-747. [ bib | pdf ]

  • Kurt Hornik, Duncan Murdoch, Achim Zeileis (2012). “Who Did What? The Roles of R Package Authors and How to Refer to Them.” The R Journal, 4(1), 64-69. doi:10.32614/RJ-2012-009bib ]

  • Florian Wickelmaier, Carolin Strobl, Achim Zeileis (2012). “Psychoco: Psychometric Computing in R.” Journal of Statistical Software, 48(1), 1-5. doi:10.18637/jss.v048.i01bib ]

  • Hannah Frick, Carolin Strobl, Friedrich Leisch, Achim Zeileis (2012). “Flexible Rasch Mixture Models with Package psychomix.” Journal of Statistical Software, 48(7), 1-25. doi:10.18637/jss.v048.i07bib ]

  • Bettina Grün, Ioannis Kosmidis, Achim Zeileis (2012). “Extended Beta Regression in R: Shaken, Stirred, Mixed, and Partitioned.” Journal of Statistical Software, 48(11), 1-25. doi:10.18637/jss.v048.i11bib ]

  • Jan Verbesselt, Achim Zeileis, Martin Herold (2012). “Near Real-Time Disturbance Detection Using Satellite Image Time Series: Drought Detection in Somalia.” Remote Sensing of Environment, 123, 98-108. doi:10.1016/j.rse.2012.02.022bib | pdf ]

  • Nikolaus Umlauf, Georg Mayr, Jakob Messner, Achim Zeileis (2012). “Why Does It Always Rain on Me? A Spatio-Temporal Analysis of Precipitation in Austria.” Austrian Journal of Statistics, 41(1), 81-92. [ bib | pdf ]

  • Micah Altman, Simon Jackman, John Fox, Achim Zeileis (2011). “An Introduction to the Special Volume on “Political Methodology”.” Journal of Statistical Software, 42(1), 1-5. doi:10.18637/jss.v042.i01bib ]

  • Carolin Strobl, Florian Wickelmaier, Achim Zeileis (2011). “Accounting for Individual Differences in Bradley-Terry Models by Means of Recursive Partitioning.” Journal of Educational and Behavioral Statistics, 36(2), 135-153. doi:10.3102/1076998609359791bib | pdf ]

  • Christoph Leitner, Achim Zeileis, Kurt Hornik (2011). “Bookmaker Consensus and Agreement for the UEFA Champions League 2008/09.” IMA Journal of Management Mathematics, 22(2), 183-194. doi:10.1093/imaman/dpq016bib | pdf ]

  • Christian Kleiber, Achim Zeileis (2010). “The Grunfeld Data at 50.” German Economic Review, 11(4), 404-417. doi:10.1111/j.1468-0475.2010.00513.xbib | pdf ]

  • Jan Verbesselt, Rob Hyndman, Achim Zeileis, Darius Culvenor (2010). “Phenological Change Detection while Accounting for Abrupt and Gradual Trends in Satellite Image Time Series.” Remote Sensing of Environment, 114(12), 2970-2980. doi:10.1016/j.rse.2010.08.003bib | pdf ]

  • Christoph Leitner, Achim Zeileis, Kurt Hornik (2010). “Forecasting Sports Tournaments by Ratings of (Prob)abilities: A Comparison for the EURO 2008.” International Journal of Forecasting, 26(3), 471-481. doi:10.1016/j.ijforecast.2009.10.001bib | pdf ]

  • Francisco Cribari-Neto, Achim Zeileis (2010). “Beta Regression in R.” Journal of Statistical Software, 34(2), 1-24. doi:10.18637/jss.v034.i02bib ]

  • Achim Zeileis, Yves Croissant (2010). “Extended Model Formulas in R: Multiple Parts and Multiple Responses.” Journal of Statistical Software, 34(1), 1-13. doi:10.18637/jss.v034.i01bib ]

  • Achim Zeileis, Ajay Shah, Ila Patnaik (2010). “Testing, Monitoring, and Dating Structural Changes in Exchange Rate Regimes.” Computational Statistics & Data Analysis, 54(6), 1696-1706. doi:10.1016/j.csda.2009.12.005bib | pdf ]

  • Christoph Leitner, Achim Zeileis, Kurt Hornik (2009). “Is Federer Stronger in a Tournament Without Nadal? An Evaluation of Odds and Seedings for Wimbledon 2009.” Austrian Journal of Statistics, 38(4), 277-286. [ bib | pdf ]

  • Achim Zeileis, Christian Kleiber (2009). “Approximate Replication of High-Breakdown Robust Regression Techniques.” Journal of Economic and Social Measurement, 34(2-3), 191-203. doi:10.3233/JEM-2009-0314bib | pdf ]

  • Carolin Strobl, Torsten Hothorn, Achim Zeileis (2009). “Party on! - A New, Conditional Variable Importance Measure for Random Forests Available in the party Package.” The R Journal, 1(2), 14-17. doi:10.32614/RJ-2009-013bib ]

  • Vincent Tolon, Stéphane Dray, Anne Loison, Achim Zeileis, Claude Fischer, Eric Baubet (2009). “Responding to Spatial and Temporal Variations in Predation Risk: Space Use of a Game Species in a Changing Landscape of Fear.” Canadian Journal of Zoology, 87(12), 1129-1137. doi:10.1139/Z09-101bib | pdf ]

  • Roger Koenker, Achim Zeileis (2009). “On Reproducible Econometric Research.” Journal of Applied Econometrics, 24(5), 833-847. doi:10.1002/jae.1083bib | pdf ]

  • Michaela Schaffhauser-Linzatti, Achim Zeileis, Marion Rauner (2009). “Effects of the Austrian Performance-Oriented Inpatient Reimbursement System on Treatment Patterns: Illustrated on Cases with Knee-Joint Problems.” Central European Journal of Operations Research, 17(3), 293-314. doi:10.1007/s10100-009-0089-zbib | pdf ]

  • Stefan Theußl, Achim Zeileis (2009). “Collaborative Software Development Using R-Forge.” The R Journal, 1(1), 9-14. doi:10.32614/RJ-2009-007bib ]

  • Kurt Hornik, Christian Buchta, Achim Zeileis (2009). “Open-Source Machine Learning: R Meets Weka.” Computational Statistics, 24(2), 225-232. doi:10.1007/s00180-008-0119-7bib | pdf ]

  • Achim Zeileis, Kurt Hornik, Paul Murrell (2009). “Escaping RGBland: Selecting Colors for Statistical Graphics.” Computational Statistics & Data Analysis, 53(9), 3259-3270. doi:10.1016/j.csda.2008.11.033bib | pdf ]

  • Bettina Grün, Achim Zeileis (2009). “Automatic Generation of Exams in R.” Journal of Statistical Software, 29(10), 1-14. doi:10.18637/jss.v029.i10bib ]

  • Christoph Leitner, Achim Zeileis, Kurt Hornik (2009). “Forecasting the Winner of the UEFA Champions League 2008/09.” In Ruud Koning, Philip Scarf (eds.), Proceedings of the 2nd International Conference on Mathematics in Sport - IMA Sport 2009., 94-99. [ bib | pdf ]

  • Torsten Hothorn, Achim Zeileis (2008). “Generalized Maximally Selected Statistics.” Biometrics, 64(4), 1263-1269. doi:10.1111/j.1541-0420.2008.00995.xbib | pdf ]

  • Torsten Hothorn, Kurt Hornik, Mark A. Van de Wiel, Achim Zeileis (2008). “Implementing a Class of Permutation Tests: The coin Package.” Journal of Statistical Software, 28(8), 1-23. doi:10.18637/jss.v028.i08bib ]

  • Achim Zeileis, Torsten Hothorn, Kurt Hornik (2008). “Model-Based Recursive Partitioning.” Journal of Computational and Graphical Statistics, 17(2), 492-514. doi:10.1198/106186008X319331bib | pdf ]

  • Carolin Strobl, Achim Zeileis (2008). “Danger: High Power! - Exploring the Statistical Properties of a Test for Random Forest Variable Importance.” In Paula Brito (ed.), COMPSTAT 2008 - Proceedings in Computational Statistics., Volume II, 59-66. ISBN 978-3-7908-2083-6, [ bib | pdf ]

  • Achim Zeileis, Roger Koenker (2008). “Econometrics in R: Past, Present, and Future.” Journal of Statistical Software, 27(1), 1-5. doi:10.18637/jss.v027.i01bib ]

  • Achim Zeileis, Christian Kleiber, Simon Jackman (2008). “Regression Models for Count Data in R.” Journal of Statistical Software, 27(8), 1-25. doi:10.18637/jss.v027.i08bib ]

  • Carolin Strobl, Anne-Laure Boulesteix, Thomas Kneib, Thomas Augustin, Achim Zeileis (2008). “Conditional Variable Importance for Random Forests.” BMC Bioinformatics, 9(307). doi:10.1186/1471-2105-9-307bib | http ]

  • Michael Schauerhuber, Achim Zeileis, David Meyer, Kurt Hornik (2008). “Benchmarking Open-Source Tree Learners in R/RWeka.” In Christine Preisach, Hans Burkhardt, Lars Schmidt-Thieme, Reinhold Decker (eds.), Data Analysis, Machine Learning and Applications (Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007)., 389-396. doi:10.1007/978-3-540-78246-9_46bib | pdf ]

  • Achim Zeileis, Kurt Hornik (2007). “Generalized M-Fluctuation Tests for Parameter Instability.” Statistica Neerlandica, 61(4), 488-508. doi:10.1111/j.1467-9574.2007.00371.xbib | pdf ]

  • Achim Zeileis, David Meyer, Kurt Hornik (2007). “Residual-Based Shadings for Visualizing (Conditional) Independence.” Journal of Computational and Graphical Statistics, 16(3), 507-525. doi:10.1198/106186007X237856bib | pdf ]

  • Patrick Mair, Achim Zeileis (2007). “Out-of-Sample Bootstrap Tests for Non-Nested Models.” In Joan del Castillo, Anna Espinal, Pedro Puig (eds.), Proceedings of the 22nd International Workshop on Statistical Modelling., 427-430. [ bib | pdf ]

  • Carolin Strobl, Anne-Laure Boulesteix, Achim Zeileis, Torsten Hothorn (2007). “Bias in Random Forest Variable Importance Measures: Illustrations, Sources and a Solution.” BMC Bioinformatics, 8(25). doi:10.1186/1471-2105-8-25bib | http ]

  • David Meyer, Achim Zeileis, Kurt Hornik (2006). “The Strucplot Framework: Visualizing Multi-Way Contingency Tables with vcd.” Journal of Statistical Software, 17(3), 1-48. doi:10.18637/jss.v017.i03bib ]

  • Torsten Hothorn, Kurt Hornik, Achim Zeileis (2006). “Unbiased Recursive Partitioning: A Conditional Inference Framework.” Journal of Computational and Graphical Statistics, 15(3), 651-674. doi:10.1198/106186006X133933bib | pdf ]

  • Achim Zeileis (2006). “Object-Oriented Computation of Sandwich Estimators.” Journal of Statistical Software, 16(9), 1-16. doi:10.18637/jss.v016.i09bib ]

  • Torsten Hothorn, Kurt Hornik, Mark A. Van de Wiel, Achim Zeileis (2006). “A Lego System for Conditional Inference.” The American Statistician, 60(3), 257-263. doi:10.1198/000313006X118430bib | pdf ]

  • Achim Zeileis (2006). “Implementing a Class of Structural Change Tests: An Econometric Computing Approach.” Computational Statistics & Data Analysis, 50(11), 2987-3008. doi:10.1016/j.csda.2005.07.001bib | pdf ]

  • Ortrun Veichtlbauer, Achim Zeileis, Friedrich Leisch (2006). “The Impact of Interventions on a Pre-Industrial Austrian Alpine Population.” Collegium Antropologicum, 30(1), 1-11. [ bib | http ]

  • Achim Zeileis (2005). “A Unified Approach to Structural Change Tests Based on ML Scores, F Statistics, and OLS Residuals.” Econometric Reviews, 24(4), 445-466. doi:10.1080/07474930500406053bib | pdf ]

  • Torsten Hothorn, Friedrich Leisch, Achim Zeileis, Kurt Hornik (2005). “The Design and Analysis of Benchmark Experiments.” Journal of Computational and Graphical Statistics, 14(3), 675-699. doi:10.1198/106186005X59630bib | pdf ]

  • Achim Zeileis, Christian Kleiber (2005). “Validating Multiple Structural Change Models - A Case Study.” Journal of Applied Econometrics, 20(5), 685-690. doi:10.1002/jae.856bib | pdf ]

  • Achim Zeileis, Gabor Grothendieck (2005). “zoo: S3 Infrastructure for Regular and Irregular Time Series.” Journal of Statistical Software, 14(6), 1-27. doi:10.18637/jss.v014.i06bib ]

  • Achim Zeileis (2005). “CRAN Task Views.” R News, 5(1), 39-40. [ bib | http ]

  • Achim Zeileis, Friedrich Leisch, Christian Kleiber, Kurt Hornik (2005). “Monitoring Structural Change in Dynamic Econometric Models.” Journal of Applied Econometrics, 20(1), 99-121. doi:10.1002/jae.776bib | pdf ]

  • Achim Zeileis (2004). “Econometric Computing with HC and HAC Covariance Matrix Estimators.” Journal of Statistical Software, 11(10), 1-17. doi:10.18637/jss.v011.i10bib ]

  • Alexandros Karatzoglou, Alex Smola, Kurt Hornik, Achim Zeileis (2004). “kernlab - An S4 Package for Kernel Methods in R.” Journal of Statistical Software, 11(9), 1-20. doi:10.18637/jss.v011.i09bib ]

  • Achim Zeileis (2004). “Alternative Boundaries for CUSUM Tests.” Statistical Papers, 45(1), 123-131. doi:10.1007/BF02778274bib | pdf ]

  • Achim Zeileis, Christian Kleiber, Walter Krämer, Kurt Hornik (2003). “Testing and Dating of Structural Changes in Practice.” Computational Statistics & Data Analysis, 44(1-2), 109-123. doi:10.1016/S0167-9473(03)00030-6bib | pdf ]

  • David Meyer, Achim Zeileis, Kurt Hornik (2003). “Visualizing Independence Using Extended Association Plots.” In Kurt Hornik, Friedrich Leisch, Achim Zeileis (eds.), Proceedings of the 3rd International Workshop on Distributed Statistical Computing, Vienna, Austria. ISSN 1609-395X. [ bib | http ]

  • Alexandros Karatzoglou, Alex Smola, Achim Zeileis, Kurt Hornik (2003). “kernlab - A Kernel Methods Package.” In Kurt Hornik, Friedrich Leisch, Achim Zeileis (eds.), Proceedings of the 3rd International Workshop on Distributed Statistical Computing, Vienna, Austria. ISSN 1609-395X. [ bib | http ]

  • Marion S. Rauner, Achim Zeileis, Michaela-Maria Schaffhauser-Linzatti, Kurt Hornik (2003). “Modelling the Effects of the Austrian Inpatient Reimbursement System on Length-of-Stay Distributions.” OR Spectrum, 25(2), 183-206. doi:10.1007/s00291-003-0120-zbib ]

  • Achim Zeileis, Torsten Hothorn (2002). “Diagnostic Checking in Regression Relationships.” R News, 2(3), 7-10. [ bib | http ]

  • Achim Zeileis, Ortrun Veichtlbauer (2002). “Policy Interventions Affecting Illegitimacy in Preindustrial Austria: A Structural Change Analysis.” In Rudolf Dutter (ed.), Festschrift 50 Jahre Österreichische Statistische Gesellschaft., 133-146. Österreichische Statistische Gesellschaft. ISSN 1026-597X. [ bib | http ]

  • Achim Zeileis, Friedrich Leisch, Kurt Hornik, Christian Kleiber (2002). “strucchange: An R Package for Testing for Structural Change in Linear Regression Models.” Journal of Statistical Software, 7(2), 1-38. doi:10.18637/jss.v007.i02bib ]

  • Achim Zeileis (2001). “strucchange: Testing for Structural Change in Linear Regression Relationships.” R News, 1(3), 8-11. [ bib | http ]