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 | 192 | 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 | 182 | 2012 |
Structured additive regression models: An R interface to BayesX N Umlauf, D Adler, T Kneib, S Lang, A Zeileis | 167 | 2015 |
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 | 152 | 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 | 94 | 2015 |
Multilevel structured additive regression S Lang, N Umlauf, P Wechselberger, K Harttgen, T Kneib Statistics and Computing 24, 223-238, 2014 | 76 | 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, 2017 | 56 | 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 | 50 | 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 | 48 | 2017 |
Modelling house prices using multilevel structured additive regression W Brunauer, S Lang, N Umlauf Statistical Modelling 13 (2), 95-123, 2013 | 48 | 2013 |
A primer on Bayesian distributional regression N Umlauf, T Kneib Statistical Modelling 18 (3-4), 219-247, 2018 | 43 | 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 | 41 | 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 | 33 | 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 | 30 | 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 | 29 | 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 | 24 | 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 | 22 | 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 | 20 | 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 | 17 | 2019 |
Nonlinear association structures in flexible Bayesian additive joint models M Köhler, N Umlauf, S Greven Statistics in medicine 37 (30), 4771-4788, 2018 | 17 | 2018 |