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Refereed publications & working papers

2020

[45] Lieke Voncken, Thomas Kneib, Casper J Albers, Nikolaus Umlauf, and Marieke Timmerman. Bayesian Gaussian distributional regression models for more efficient norm estimation. British Journal of Mathematical and Statistical Psychology, 2020. to appear. [ bib | DOI ]

[44] Thorsten Simon and Nikolaus Umlauf. Scaleable distributional regression. In Proceedings of the 35th International Workshop on Statistical Modelling, Bilbao, Spain, 2020. [ bib ]

2019

[43] Thomas Kneib, Nadja Klein, Stefan Lang, and Nikolaus Umlauf. Rejoinder on: Modular regression - a Lego system for building structured additive distributional regression models with tensor product interactions. TEST, 28(1):55--59, March 2019. [ bib | DOI ]

[42] Thomas Kneib, Nadja Klein, Stefan Lang, and Nikolaus Umlauf. Modular regression - a Lego system for building structured additive distributional regression models with tensor product interactions. TEST, 28(1):1--39, March 2019. [ bib | DOI ]

[41] Nadja Klein, Thorsten Simon, and Nikolaus Umlauf. Neural network regression with an application to leukaemia survival data -- an unstructured distributional approach. In Proceedings of the 34th International Workshop on Statistical Modelling, Guimarães, Portugal, volume 1, pages 157--160. Statistical Modelling Society, 2019. [ bib ]

[40] Andreas Groll, Julien Hambuckers, Thomas Kneib, and Nikolaus Umlauf. LASSO-type penalization in the framework of generalized additive models for location, scale and shape. Computational Statistics & Data Analysis, 140:59--73, 2019. [ bib | DOI ]

[39] T. Simon, G. J. Mayr, N. Umlauf, and A. Zeileis. NWP-based lightning prediction using flexible count data regression. Advances in Statistical Climatology, Meteorology and Oceanography, 5(1):1--16, 2019. [ bib | DOI ]

[38] Nikolaus Umlauf, Nadja Klein, Thorsten Simon, and Achim Zeileis. bamlss: A Lego toolbox for flexible Bayesian regression (and beyond). arXiv 1909.11784, arXiv.org E-Print Archive, September 2019. [ bib | http ]

[37] Lieke Voncken, Thomas Kneib, Casper J Albers, Nikolaus Umlauf, and Marieke Timmerman. Bayesian Gaussian distributional regression models for more efficient norm estimation. Technical report, Aug 2019. [ bib | DOI ]

2018

[36] Meike Köhler, Nikolaus Umlauf, and Sonja Greven. Nonlinear association structures in flexible Bayesian additive joint models. Statistics in Medicine, 37(30):4771--4788, 2018. [ bib | DOI ]

[35] Thorsten Simon, Peter Fabsic, Georg J. Mayr, Nikolaus Umlauf, and Achim Zeileis. Probabilistic forecasting of thunderstorms in the eastern Alps. Monthly Weather Review, 146(9):2999--3009, 2018. [ bib | DOI ]

[34] Janett Kreutziger, Stefan Schmid, Nikolaus Umlauf, Hanno Ulmer, Maarten W. Nijsten, Daniel Werner, Thomas Schlechtriemen, and Wolfgang Lederer. Association between blood glucose and cardiac rhythms during pre-hospital care of trauma patients -- a retrospective analysis. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 26(58), 2018. [ bib | DOI ]

[33] Nikolaus Umlauf and Thomas Kneib. A primer on Bayesian distributional regression. Statistical Modelling, 18(3-4):219--247, 2018. [ bib | DOI ]

[32] Nikolaus Umlauf, Nadja Klein, and Achim Zeileis. BAMLSS: Bayesian additive models for location, scale and shape (and beyond). Journal of Computational and Graphical Statistics, 27(3):612--627, 2018. [ bib | DOI ]

[31] Andreas Groll, Julien Hambuckers, Thomas Kneib, and Nikolaus Umlauf. LASSO-type penalization in the framework of generalized additive models for location, scale and shape. Working papers, Faculty of Economics and Statistics, University of Innsbruck, 2018. [ bib | http ]

[30] Thorsten Simon, Georg J. Mayr, Nikolaus Umlauf, and Achim Zeileis. Lightning prediction using model output statistics. Working papers, Faculty of Economics and Statistics, University of Innsbruck, 2018. [ bib | http ]

2017

[29] Meike Köhler, Andreas Beyerlein, Kendra Vehik, Sonja Greven, Nikolaus Umlauf, Åke Lernmark, William A. Hagopian, Marian Rewers, Jin-Xiong She, Jorma Toppari, Beena Akolkar, Jeffrey P. Krischer, Ezio Bonifacio, and Anette-G. Ziegler. Joint modeling of longitudinal autoantibody patterns and progression to type 1 diabetes: Results from the teddy study. Acta Diabetologica, 54(11):1009--1017, November 2017. [ bib | DOI ]

[28] Andreas Groll, Thomas Kneib, and Nikolaus Umlauf. Lasso-type penalization in the framework of generalized additive models for location scale and shape. In Proceedings of the 32nd International Workshop on Statistical Modelling, Groningen, Netherlands, pages 103--108. University of Groningen, 2017. [ bib ]

[27] Thorsten Simon, Nikolaus Umlauf, Georg J. Mayr, and Achim Zeileis. Boosting multivariate Gaussian models for probabilistic temperature forecasts. In Proceedings of the 32nd International Workshop on Statistical Modelling, Groningen, Netherlands, pages 143--148. University of Groningen, 2017. [ bib ]

[26] Meike Köhler, Nikolaus Umlauf, Andreas Beyerlein, Christiane Winkler, Anette-Gabriele Ziegler, and Sonja Greven. Flexible Bayesian additive joint models with an application to type 1 diabetes research. Biometrical Journal, 59(6):1144--1165, 2017. [ bib | DOI ]

[25] T. Simon, N. Umlauf, A. Zeileis, G. J. Mayr, W. Schulz, and G. Diendorfer. Spatio-temporal modelling of lightning climatologies for complex terrain. Natural Hazards and Earth System Sciences, 17(3):305--314, 2017. [ bib | DOI ]

[24] Reto Stauffer, Nikolaus Umlauf, Jakob W. Messner, Georg J. Mayr, and Achim Zeileis. Ensemble postprocessing of daily precipitation sums over complex terrain using censored high-resolution standardized anomalies. Monthly Weather Review, 145(3):955--969, 2017. [ bib | DOI ]

[23] Reto Stauffer, Georg J. Mayr, Jakob W. Messner, Nikolaus Umlauf, and Achim Zeileis. Spatio-temporal precipitation climatology over complex terrain using a censored additive regression model. International Journal of Climatology, 37(7):3264--3275, 2017. [ bib | DOI ]

[22] Thomas Kneib and Nikolaus Umlauf. A primer on Bayesian distributional regression. Working Paper 2017-13, Working Papers in Economics and Statistics, Research Platform Empirical and Experimental Economics, Universität Innsbruck, August 2017. [ bib | http ]

[21] Nikolaus Umlauf, Nadja Klein, and Achim Zeileis. BAMLSS: Bayesian additive models for location, scale and shape (and beyond). Working Paper 2017-05, Working Papers in Economics and Statistics, Research Platform Empirical and Experimental Economics, Universität Innsbruck, February 2017. [ bib | http ]

[20] Thorsten Simon, Peter Fabsic, Georg J. Mayr, Nikolaus Umlauf, and Achim Zeileis. Probabilistic forecasting of thunderstorms in the eastern Alps. Working papers, Faculty of Economics and Statistics, University of Innsbruck, 2017. [ bib | http ]

[19] Meike Köhler, Nikolaus Umlauf, and Sonja Greven. Nonlinear association structures in flexible Bayesian additive joint models, 2017. [ bib | arXiv ]

[18] Thomas Kneib, Nadja Klein, Stefan Lang, and Nikolaus Umlauf. Modular regression - a Lego system for building structured additive distributional regression models with tensor product interactions. Technical report, 2017. [ bib ]

2016

[17] Jan Verbesselt, Nikolaus Umlauf, Marina Hirota, Milena Holmgren, Egbert H. Van Nes, Martin Herold, Achim Zeileis, and Marten Scheffer. Remotely sensed resilience of tropical forests. Nature Clim. Change, advance online publication, September 2016. Letter. [ bib | DOI ]

[16] Meike Köhler, Nikolaus Umlauf, Andreas Beyerlein, Christiane Winkler, Anette-Gabriele Ziegler, and Sonja Greven. Flexible Bayesian additive joint models with an application to type 1 diabetes research, 2016. [ bib | arXiv ]

[15] T. Simon, N. Umlauf, A. Zeileis, G. J. Mayr, W. Schulz, and G. Diendorfer. Spatio-temporal smoothing of lightning climatologies. Natural Hazards and Earth System Sciences Discussions, 2016:1--15, 2016. [ bib | DOI ]

[14] Reto Stauffer, Jakob W. Messner, Georg J. Mayr, Nikolaus Umlauf, and Achim Zeileis. Spatio-temporal precipitation climatology over complex terrain using a censored additive regression model. Working papers, Faculty of Economics and Statistics, University of Innsbruck, 2016. [ bib | http ]

2015

[13] Nikolaus Umlauf, Reto Stauffer, Jakob Messner, Georg Mayr, and Achim Zeileis. A conceptional Lego toolbox for Bayesian distributional regression models. In Proceedings of the 30th International Workshop on Statistical Modelling, Linz, Austria. JKU Linz, 2015. [ bib | .pdf ]

[12] Alexander Razen, Wolfgang Brunauer, Nadja Klein, Stefan Lang, and Nikolaus Umlauf. Hedonic house price modeling based on multilevel structured additive regression. In M. Helbich, J. Jokar, and M Leitner, editors, Computational Approaches for Urban Economics. Springer Verlag, 2015. [ bib | http ]

[11] Nikolaus Umlauf, Daniel Adler, Thomas Kneib, Stefan Lang, and Achim Zeileis. Structured additive regression models: An R interface to Bayesx. Journal of Statistical Software, 63(21):1--46, 2015. [ bib | DOI ]

2014

[10] Achim Zeileis, Nikolaus Umlauf, and Friedrich Leisch. Flexible generation of e-learning exams in r: Moodle quizzes, olat assessments, and beyond. Journal of Statistical Software, 58(1):1--36, 2014. [ bib | DOI ]

[9] Alexander Razen, Wolfgang Brunauer, Nadja Klein, Thomas Kneib, Stefan Lang, and Nikolaus Umlauf. Statistical risk analysis for real estate collateral valuation using Bayesian distributional and quantile regression. Working Paper 2014-12, Working Papers in Economics and Statistics, Research Platform Empirical and Experimental Economics, Universität Innsbruck, April 2014. [ bib | http ]

2013

[8] Wolfgang Brunauer, Stefan Lang, and Nikolaus Umlauf. Modeling house prices using multilevel structured additive regression. Statistical Modelling, 13:95--123, 2013. [ bib | http ]

[7] Michael Ess, Katja Heitmair-Wietzorrek, Matthias Frick, Nikolaus Umlauf, Hanno Ulmer, and Gerhard Poelzl. Serum phosphate and long-term outcome among patients with stable heart failure. Journal of Cardiac Failure, 19(1):25--30, 2013. [ bib | http ]

2012

[6] Stefan Lang, Nikolaus Umlauf, Peter Wechselberger, Kenneth Harttgen, and Thomas Kneib. Multilevel structured additive regression. Statistics and Computing, 2012. [ bib | http ]

[5] Nikolaus Umlauf, Georg Mayr, Jakob Messner, and Achim Zeileis. Why does it always rain on me? A spatio-temporal analysis of precipitation in Austria. Austrian Journal of Statistics, 41(1):81--92, 2012. [ bib | .pdf ]

[4] Achim Zeileis, Nikolaus Umlauf, and Friedrich Leisch. Flexible generation of e-learning exams in R: Moodle quizzes, olat assessments, and beyond. Working Paper 2012-27, Working Papers in Economics and Statistics, Research Platform Empirical and Experimental Economics, Universität Innsbruck, December 2012. [ bib | http ]

[3] Stefan Lang, Nikolaus Umlauf, Peter Wechselberger, Kenneth Harttgen, and Thomas Kneib. Multilevel structured additive regression. Working Paper 2012-07, Working Papers in Economics and Statistics, Research Platform Empirical and Experimental Economics, Universität Innsbruck, April 2012. [ bib | http ]

2011

[2] Alexander M. Strasak, Nikolaus Umlauf, Ruth M. Pfeiffer, and Stefan Lang. Comparing penalized splines and fractional polynomials as smoothing techniques for flexible modelling the effect of continuous predictor variables. Computational Statistics & Data Analysis, 55:1540--1551, 2011. [ bib | DOI ]

2010

[1] Stefan Lang, Nikolaus Umlauf, and Wolfgang Brunauer. Hierarchical structured additive regression. In Adrian Bowman, editor, Proceedings of the 25th International Workshop on Statistical Modelling, Glasgow, Scotland, UK. Glasgow University Print Unit, 2010. [ bib ]