Peer-Reviewed Journals (Methodology)

2024

• Truly multivariate structured additive distributional regression pdf

  L. Kock and N. Klein
  Journal of Computational and Graphical Statistics, 2024

• Scalable estimation for structured additive distributional regression pdf

  N. Umlauf, J. Seiler, M. Wetscher, T. Simon, S. Lang and N. Klein
  Journal of Computational and Graphical Statistics, 2024

• Bayesian conditional transformation models pdf

  M. Carlan, T. Kneib and N. Klein
  Journal of the American Statistical Association, 119(546):1360-1373, 2024

• Distributional regression for data analysis pdf

  N. Klein
  Annual Review of Statistics and Its Application, 11:321-346, 2024

• The deep promotion time cure model pdf

  V. Medina-Olivares, S. Lessmann and N. Klein
  IEEE Transactions on Neural Networks and Learning Systems, 2024

• BannMI deciphers potential n-to-1 information transduction in signalling pathways to unravel message of intrinsic apoptosis pdf

  B. Schmidt, C. Sers and N. Klein
  Bioinformatics Advances, 4(1), vbad175, 2024

• Flexible specification testing in semiparametric quantile regression models pdf

  T. Kutzker, N. Klein and D. Wied
  Scandinavian Journal of Statistics, 51(1):355-383, 2024

• Semi-structured distributional regression pdf

  D. Rügamer, C. Kolb and N. Klein
  American Statistician, 78(1):88-99, 2024

2023

• Boosting distributional copula regression pdf

  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

• Bayesian inference for regression copulas pdf

  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