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Talks

[16] Nikolaus Umlauf. Flexible distributional regression models for very large datasets. Presented at the Humboldt-University of Berlin, Germany, January 14th 2020. [ bib | .pdf ]

[15] Nikolaus Umlauf. Neural network distributional regression. Presented at “DAGStat2019”, LMU Munich, Germany, March 20th 2019. [ bib | .pdf ]

[14] Nikolaus Umlauf. Flexible distributional regression models: Methodology, software, applications. Presented at the 4th BIOSTATNET General Meeting, Santiago de Compostela, Spain, January 26th 2019. [ bib | .pdf ]

[13] Nikolaus Umlauf. bamlss: A lego toolbox for flexible regression models. Presented at the Statistische Woche, JKU Linz, Austria, September 13th 2018. [ bib | .pdf ]

[12] Nikolaus Umlauf. Distributional regression: Computation, model choice and variable selection. Presented at the Department of Microbiology, Faculty of Biology, Universität Innsbruck, Austria, February 8th 2018. [ bib | .pdf ]

[11] Andreas Groll, Thomas Kneib, and Nikolaus Umlauf. Lasso-type penalization in the framework of generalized additive models for location, scale and shape. Presented at the EMS 2017, University of Helsinki, Finland, July 27th 2017. [ bib | .pdf ]

[10] Nikolaus Umlauf, Nadja Klein, Meike Köhler, Sonja Greven, and Achim Zeileis. A conceptional Lego toolbox for Bayesian distributional regression models. Presented at the DAGStat2016, Georg-August-Universität Göttingen, Germany, March 17th 2016. [ bib | .pdf ]

[9] Nikolaus Umlauf. Bayesian additive models for location scale and shape (and beyond). Presented at the “IFAS Research Seminar” JKU Linz, Austria, December 3rd 2015. [ bib | .pdf ]

[8] Nikolaus Umlauf, Reto Stauffer, Jakob Messner, Georg Mayr, and Achim Zeileis. A conceptional Lego toolbox for Bayesian distributional regression models. Presented at “30th International Workshop on Statistical Modelling” (IWSM), University of Linz, Austria, July 6--10 2015. [ bib | .pdf ]

[7] Nikolaus Umlauf. Bayesian additive models for location scale and shape (and beyond). Presented at the “Institutskolloquium des Instituts für Statistik” LMU München, Germany, January 21st 2015. [ bib | .pdf ]

[6] Jan Verbesselt, Nikolaus Umlauf, Marina Hirota, Milena Holmgren, Egbert H. Van Nes, Martin Herold, Achim Zeileis, and Marten Scheffer. Bayesian structured additive regression for identifying tipping points of tropical forests. Presented at the Österreichische Statistiktage 2014 Universität Innsbruck, Austria, September 10 2014. [ bib | .pdf ]

[5] Nikolaus Umlauf, Nadja Klein, Stefan Lang, and Achim Zeileis. Bayesian additive models for location scale and shape (and beyond). Presented at the Research Training Group 1644 “Scaling Problems in Statistics” University of Göttingen, Germany, February 27 2014. [ bib | .pdf ]

[4] Nikolaus Umlauf, Thomas Kneib, Stefan Lang, and Achim Zeileis. Structured additive regression models: An R interface to BayesX. Presented at Wageningen University, Netherlands, October 1 2012. [ bib | .pdf ]

[3] Nikolaus Umlauf, Thomas Kneib, Stefan Lang, and Achim Zeileis. Structured additive regression models: An R interface to BayesX. Presented at “Empirical and Experimental Economics”, Research Platform Workshop, Universität Innsbruck, Austria, May 29 2012. [ bib | .pdf ]

[2] Nikolaus Umlauf, Thomas Kneib, Stefan Lang, and Achim Zeileis. Structured additive regression models: An R interface to BayesX. Presented at “The R User Conference”, University of Warwick, Coventry, UK, August 16--18 2011. [ bib | .pdf ]

[1] Stefan Lang, Nikolaus Umlauf, and Wolfgang Brunauer. Hierarchical structured additive regression. Presented at “International Workshop on Statistical Modelling” (IWSM), 25th Anniversary Workshop, University of Glasgow, Scotland, UK, July 5--9 2010. [ bib | .pdf ]