| 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 | 222 | 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 | 191 | 2012 |
| 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 | 165 | 2018 |
| Structured additive regression models: An R interface to BayesX N Umlauf, D Adler, T Kneib, S Lang, A Zeileis Journal of Statistical Software 63, 1-46, 2015 | 165 | 2015 |
| BayesX—Software for Bayesian inference in structured additive regression models. Version 3.0. 2 C Belitz, A Brezger, N Klein, T Kneib, S Lang, N Umlauf URL http://www. bayesx. org, 2015 | 97 | 2015 |
| Multilevel structured additive regression S Lang, N Umlauf, P Wechselberger, K Harttgen, T Kneib Statistics and Computing 24, 223-238, 2014 | 78 | 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 | 63 | 2017 |
| Modelling house prices using multilevel structured additive regression W Brunauer, S Lang, N Umlauf Statistical Modelling 13 (2), 95-123, 2013 | 54 | 2013 |
| 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 | 51 | 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 | 49 | 2017 |
| 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 | 45 | 2019 |
| A primer on Bayesian distributional regression N Umlauf, T Kneib Statistical Modelling 18 (3-4), 219-247, 2018 | 42 | 2018 |
| bamlss: a Lego toolbox for flexible Bayesian regression (and beyond) N Umlauf, N Klein, T Simon, A Zeileis Journal of Statistical Software 100, 1-53, 2021 | 39 | 2021 |
| 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 | 36 | 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 | 32 | 2017 |
| 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 | 25 | 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 | 23 | 2018 |
| 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 | 23 | 2011 |
| Cholesky-based multivariate Gaussian regression T Muschinski, GJ Mayr, T Simon, N Umlauf, A Zeileis Econometrics and Statistics 29, 261-281, 2024 | 21 | 2024 |
| 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 | 19 | 2019 |