N. Hans, N. Klein, F. Faschingbauer, M. Schneider and A. Mayr Biometrics, 79(3):2298-2310, 2023
Marginally calibrated response distributions for end-to-end learning in autonomous driving pdf
C.Hoffmann and N.Klein Annals of Applied Statistics, 17(2):1740-1763, 2023
Learning causal graphs in manufacturing domains using structural equation model pdf
M. Kertel, S. Harmeling, M. Pauly and N. Klein International Journal of Semantic Computing, 17(4):511-528, 2023
Deep distributional time series models and the probabilistic forecasting of intraday electricity prices pdf
N. Klein, M. S. Smith and D. J. Nott Journal of Applied Econometrics, 38(4):493–511, 2023
Estimating uncertainty in real estate valuation: A multilevel approach based on distributional and quantile regression pdf
A. Razen, W. Brunauer, N. Klein, T. Kneib, S. Lang and N. Umlauf Statistical Modelling, 23(5-6):525-539, 2023
Modelling intra-annual tree stem growth with a distributional regression approach for Gaussian process responses pdf
H. Riebl, N. Klein and T. Kneib Journal of the Royal Statistical Society, Series C, 72(2):414–433, 2023
deepregression: A flexible neural network framework for semi-structured deep distributional regression pdf
D. Rügamer, R. Shen, C. Bukas, L. Barros de Andrade e Sousa, D. Thalmeier, N. Klein, C. Kolb, F. Pfisterer, P. Kopper, B. Bischl and C. L. Müller Journal of Statistical Software, 105(2), 2023
Accounting for time dependency in meta-analyses of concordance probability estimates pdf
M. Schmid, L. Weinhold, N. Klein and T. Fried Research Synthesis Methods, 16(6):807–823, 2023
Boosting multivariate structured additive distributional regression models pdf
A. Strömer, N. Klein, C. Staerk, H. Klinkhammer and A. Mayr Statistics in Medicine, 42(11):1779–1801, 2023
2022
Using background knowledge from preceding studies for building a random forest prediction model: A plasmode simulation study pdf
L. Hafermann, N. Klein, G. Rauch, M. Kammer and G. Heinze Entropy, 24(6):847–863, 2022
Multivariate conditional transformation models pdf
N. Klein, T. Hothorn, L. Barbanti and T. Kneib Scandinavian Journal of Statisticss, 49(1):116–142, 2022
Variational inference and sparsity in high dimensional deep Gaussian mixture models pdf
L. Kock, N. Klein and D. J. Nott Statistics and Computing, 32(5), 2022
A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes pdf
I. Marques, N. Klein and T. Kneib Statistics and Computing, 32(5), 2022
Mitigating spatial confounding by explicitly correlating Gaussian random fields pdf
I. Marques, T. Kneib and N. Klein Environmetrics, 33(5), 2022
Is age at menopause decreasing? – The consequences of not completing the generational cohort pdf
R. Martins, B. de Sousa, T. Kneib, M. Hohberg, N. Klein, E. Duarte and V. Rodrigues BMC Medical Research Methodology, 22(187):1–17, 2022
Review of guidance papers on regression modeling in statistical series of medical journals pdf
C. Wallisch, P. Bach, L. Hafermann, N. Klein, W. Sauerbrei, E. W. Steyerberg, G. Heinze and G. Rauch PLOS ONE, 2022
Correcting for sample selection bias in Bayesian distributional regression model pdf
P. Wiemann, N. Klein and T. Kneib Computational Statistics and Data Analysis, 168, 2022
2021
Statistical model building: Background “knowledge” based on inappropriate preselection causes misspecification pdf
L. Hafermann, H. Becher, C. Herrmann, N. Klein, G. Heinze and G. Rauch BMC Medical Research Methodology, 21(1):1–12, 2021
Bayesian effect selection in structured additive distributional regression models pdf
N. Klein, M. Carlan, T. Kneib, S. Lang and H. Wagner Bayesian Analysis, 16(2):545–573, 2021
Marginally calibrated deep distributional regression pdf
N. Klein, D. J. Nott and M. S. Smith Journal of Computational and Graphical Statistics, 30(2):467–483, 2021
Bayesian variable selection for non-Gaussian responses: A marginally calibrated copula approach pdf
N. Klein and M. S. Smith Biometrics, 77(3):809–823, 2021
In search of lost edges: A case study on reconstructing financial networks pdf
M. Lebacher, S. Cook, N. Klein and G. Kauermann Journal of Network Theory in Finance, 5(4):29–61, 2021
M. S. Smith and N. Klein Journal of Business and Economic Statistics, 39(3):712–728, 2021
Deselection of base-learners for statistical boosting – with an application to distributional regression pdf
A. Strömer, C. Staerk, N. Klein, L. Weinhold, S. Titze and A. Mayr Statistical Methods in Medical Research, 31(2):207–224 , 2021
bamlss: A Lego toolbox for flexible Bayesian regression (and beyond) pdf
N. Umlauf, N. Klein, T. Simon and A. Zeileis Journal of Statistical Software, 100(4):1–53, 2021
Assessment and adjustment of approximate inference algorithms using the law of total variance pdf
X. Yu, D. J. Nott, M.-N. Tran and N. Klein Journal of Computational and Graphical Statistics, 30(4):977–990, 2021
2020
Systematic review of education and practical guidance on regression modeling for medical researchers who lack a strong statistical background: Study protocol pdf
P. Bach, C. Wallisch, N. Klein, L. Hafermann, W. Sauerbrei, E. W. Steyerberg, G. Heinze and G. Rauch PLOS ONE, 15(12):1–10, 2020
Candidate-gene association analysis for a continuous phenotype with a spike at zero using parent-offspring trios pdf
N. Klein, A. Entwistle, A. Rosenberger, T. Kneib and H. Bickeböller Journal of Applied Statistics, 47(11):2066–2080, 2020
Modelling regional patterns of inefficiency: A Bayesian approach to geoadditive panel stochastic frontier analysis with an application to cereal production in England and Wales pdf
N. Klein, H. Herwartz and T. Kneib Journal of Econometrics, 214(2):513–539, 2020
Directional bivariate quantiles: A robust approach based on the cumulative distribution function pdf
N. Klein and T. Kneib AStA Advances in Statistical Analysis, 104(2):225–260, 2020
Non-stationary spatial regression for modelling monthly precipitation in Germany pdf
I. Marques, N. Klein and T. Kneib Spatial Statistics, 40:100386, 2020
Mixed discrete-continuous regression – A novel approach based on weight functions pdf
P. Michaelis, N. Klein and T. Kneib Stat, 9(1):277–291, 2020
2019
Mixed binary-continuous copula regression models with application to adverse birth outcomes pdf
N. Klein, T. Kneib, G. Marra, R. Radice, S. Rokicki and M. McGovern Statistics in Medicine, 38(3):413–436, 2019
Implicit copulas from Bayesian regularized regression smoothers pdf
N. Klein and M. S. Smith Bayesian Analysis, 14(4):1143–1171, 2019
Modular regression – A lego system for building structured additive distributional regression models with tensor product interactions pdf
T. Kneib, N. Klein, S. Lang and N. Umlauf Test, 28(1):1–39, 2019
Rejoinder on: Modular regression – A lego system for building structured additive distributional regression models with tensor product interactions pdf
T. Kneib, N. Klein, S. Lang and N. Umlauf Test, 28(1):55–59, 2019
Multivariate effect priors in bivariate semiparametric recursive Gaussian models pdf
H. Thaden, N. Klein and T. Kneib Computational Statistics and Data Analysis, 137:51–66, 2019
2018
Bayesian multivariate distributional regression with skewed responses and skewed random effects pdf
P. Michaelis, N. Klein and T. Kneib Journal of Computational and Graphical Statistics, 27(3):602–611, 2018
BAMLSS: Bayesian additive models for location, scale, and shape (and beyond) pdf
N. Umlauf, N. Klein and A. Zeileis Journal of Computational and Graphical Statistics, 27(3):612–627, 2018
2017
Structured additive distributional regression for analysing landings per unit effort in fisheries research pdf
V. Mamouridis, N. Klein, T. Kneib, C. Cadarso Su´arez and F. Maynou Mathematical Biosciences, 283:145–154, 2017
Integrating multivariate conditionally autoregressive spatial priors into recursive bivariate models for analyzing environmental sensitivity of mussels pdf
H. Thaden, M. Pata, N. Klein, C. Cadarso-Su´arez and T. Kneib Spatial Statistics, 22:419–433, 2017
Boosting joint models for longitudinal and time-to-event data pdf
E. Waldmann, D. Taylor-Robinson, N. Klein, T. Kneib, T. Pressler, M. Schmid and A. Mayr Biometrical Journal, 59(6):1104–1121, 2017
2016
Modelling hospital admission and length of stay by means of generalised count data models pdf
H. Herwartz, N. Klein and C. Strumann Journal of Applied Econometrics, 31(6):1159–1182, 2016
Scale-dependent priors for variance parameters in structured additive distributional regression pdf
N. Klein and T. Kneib Bayesian Analysis, 11(4):1071–1106, 2016
Simultaneous inference in structured additive conditional copula regression models: A unifying Bayesian approach pdf
N. Klein and T. Kneib Statistics and Computing, 26(4):841–860, 2016
Analysing farmland rental rates using Bayesian geoadditive quantile regression pdf
A. März, N. Klein, T. Kneib and O. Musshof European Review of Agricultural Economics, 43(4):663–698, 2016
2015
Bayesian structured additive distributional regression for multivariate responses pdf
N. Klein, T. Kneib, S. Klasen and S. Lang Journal of the Royal Statistical Society. Series C: Applied Statistics, 64(4):569–591, 2015
Bayesian generalized additive models for location, scale, and shape for zero-inflated and overdispersed count data pdf
N. Klein, T. Kneib and S. Lang Journal of the American Statistical Association, 110(509):405–419, 2015
Bayesian structured additive distributional regression with an application to regional income inequality in Germany pdf
N. Klein, T. Kneib, S. Lang and A. Sohn Annals of Applied Statistics, 9(2):1024–1052, 2015
A semiparametric analysis of conditional income distributions pdf
A. Sohn, N. Klein and T. Kneib Schmollers Jahrbuch, 135:13–22, 2015
2014
Nonlife ratemaking and risk management with Bayesian generalized additive models for location, scale, and shape pdf
N. Klein, M. Denuit, S. Lang and T. Kneib Insurance: Mathematics and Economics, 55(1):225–249, 2014