Nikolaus Umlauf
Cited by
Cited by
Remotely sensed resilience of tropical forests
J Verbesselt, N Umlauf, M Hirota, M Holmgren, EH Van Nes, M Herold, ...
Nature Climate Change 6 (11), 1028-1031, 2016
Software for Bayesian Inference in Structured Additive Regression Models
C Belitz, A Brezger, T Kneib, S Lang, EM Fronk, F Heinzl, A Hennerfeind, ...
Version, 2012
Structured additive regression models: An R interface to BayesX
N Umlauf, D Adler, T Kneib, S Lang, A Zeileis
BAMLSS: Bayesian additive models for location, scale, and shape (and beyond)
N Umlauf, N Klein, A Zeileis
Journal of Computational and Graphical Statistics 27 (3), 612-627, 2018
BayesX-software for Bayesian inference in structured additive regression models: version 3.0
C Belitz, A Brezger, T Kneib, S Lang, N Umlauf
URL http://www. bayesx. org, 2015
Multilevel structured additive regression
S Lang, N Umlauf, P Wechselberger, K Harttgen, T Kneib
Statistics and Computing 24, 223-238, 2014
Spatio‐temporal precipitation climatology over complex terrain using a censored additive regression model
R Stauffer, GJ Mayr, JW Messner, N Umlauf, A Zeileis
International Journal of Climatology 37 (7), 3264-3275, 2017
Flexible generation of e-learning exams in R: Moodle quizzes, OLAT assessments, and beyond
A Zeileis, N Umlauf, F Leisch
Journal of Statistical Software 58, 1-36, 2014
Ensemble postprocessing of daily precipitation sums over complex terrain using censored high-resolution standardized anomalies
R Stauffer, N Umlauf, JW Messner, GJ Mayr, A Zeileis
Monthly Weather Review 145 (3), 955-969, 2017
Modelling house prices using multilevel structured additive regression
W Brunauer, S Lang, N Umlauf
Statistical Modelling 13 (2), 95-123, 2013
A primer on Bayesian distributional regression
N Umlauf, T Kneib
Statistical Modelling 18 (3-4), 219-247, 2018
LASSO-type penalization in the framework of generalized additive models for location, scale and shape
A Groll, J Hambuckers, T Kneib, N Umlauf
Computational Statistics & Data Analysis 140, 59-73, 2019
Joint modeling of longitudinal autoantibody patterns and progression to type 1 diabetes: results from the TEDDY study
M Köhler, A Beyerlein, K Vehik, S Greven, N Umlauf, Å Lernmark, ...
Acta diabetologica 54, 1009-1017, 2017
Flexible Bayesian additive joint models with an application to type 1 diabetes research
M Köhler, N Umlauf, A Beyerlein, C Winkler, AG Ziegler, S Greven
Biometrical Journal 59 (6), 1144-1165, 2017
bamlss: A Lego toolbox for flexible Bayesian regression (and beyond)
N Umlauf, N Klein, T Simon, A Zeileis
arXiv preprint arXiv:1909.11784, 2019
Comparing penalized splines and fractional polynomials for flexible modelling of the effects of continuous predictor variables
AM Strasak, N Umlauf, RM Pfeiffer, S Lang
Computational statistics & data analysis 55 (4), 1540-1551, 2011
Serum phosphate and long-term outcome among patients with stable heart failure
M Ess, K Heitmair-Wietzorrek, M Frick, N Umlauf, H Ulmer, G Poelzl
Journal of Cardiac Failure 19 (1), 25-30, 2013
Probabilistic forecasting of thunderstorms in the Eastern Alps
T Simon, P Fabsic, GJ Mayr, N Umlauf, A Zeileis
Monthly Weather Review 146 (9), 2999-3009, 2018
NWP-based lightning prediction using flexible count data regression
T Simon, GJ Mayr, N Umlauf, A Zeileis
Advances in Statistical Climatology, Meteorology and Oceanography 5 (1), 1-16, 2019
Nonlinear association structures in flexible Bayesian additive joint models
M Köhler, N Umlauf, S Greven
Statistics in medicine 37 (30), 4771-4788, 2018
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