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Jun. Prof. Dr. Nadja Klein

Jun. Prof. Dr. Nadja Klein - Chair of Statistics // Photo is coming soon

Research focuses

Bayesian Statistics, Computational Methods, Machine Learning, Distributional Regression, Smoothing Methods, Copula Modelling, Shrinkage Priors and Variable Selection

Curriculum vitae

  • since 07/2016: Postdoctoral Feodor-Lynen-Fellow of the Alexander von Humboldt Foundation, Melbourne Business School, University of Melbourne
  • 10/2015-07/2016: Postdoctoral Fellow of the Fonds Wetenschappelijk Onderzoek - Vlaanderen, Supervisor: Prof. Dr. Gerda Claeskens (unpaid leave)
  • 2015-2018: Postdoctoral researcher, Georg-August-Universität Göttingen
  • 2012-2014: PhD project Bayesian Structured Additive Distributional Regression (within the DFG Research Project "Structured Additive Quantile and Expectile Regression" (03/2012 - 02/2014) and the DFG Research Project "Structured Additive Distributional Regression" (since 03/2014), supervised by Prof. Dr. Thomas Kneib). Defense (Dr. rer. nat. in Mathematics): 03/12/2014
  • 2012-2014: Member of the RTG 1644 "Scaling Problems in Statistics"
  • 2013-2014: Mentee within the "Dorothea Schlözer Mentoring Programme 2013 / 2014"

Selected publications

Peer-Reviewed Publications and Book Chapters:

  • Umlauf, N., Klein, N. and Zeileis, A. (2017) BAMLSS: Bayesian Additive Models forLocation, Scale and Shape (and Beyond). To appear in Journal of Computational and Graphical Statistics.
  • Michaelis, P., Klein, N. and Kneib, T. (2017) Bayesian Multivariate Distributional Regression with Skewed Responses and Skewed Random Effects. To appear in Journal of Computational and Graphical Statistics.
  • Duarte, E., de Sousa, B., Cadarso Suárez, C., Klein, N., Kneib, T. and Rodrigues, V. (2017) Studying the relationship between a woman's reproductive life span and age at menarche using a Bayesian multivariate structured additive distributional regression model. To appear in Biometrical Journal.
  • Thaden, H., Pata, M. P., Klein, N., Cadarso Suarez, C. and Kneib, T. (2017) Integrating Multivariate Conditionally Autoregressive Spatial Priors into Recursive Bivariate Models for Analyzing Environmental Sensitivity of Mussels. To appear in Spatial Statistics.
  • Mamouridis, V., Klein, N., Kneib, T., Cadarso Suarez, C. and Maynou, F. (2016) Structured Additive Distributional Regression for Analyzing Landings per Unit Effort Indices in Fisheries Research. To appear in Mathematical Biosciences.
  • Waldmann, E., Taylor-Robinson D., Klein N., Kneib T., Pressler T., Schmid, M. and Mayr, A.(2016): Boosting Joint Models for Longitudinal and Time-to-Event Data. To appear in Biometrical Journal.
  • Klein, N. and Kneib, T. (2016) Scale-Dependent Priors for Variance Parameters in Structured Additive Distributional Regression. Bayesian Analysis, 11, 1071-1106, doi:10.1214/15-BA983.
  • Kormann, U., Scherber, C., Tscharnke, T. Klein, N., Larbig, M, Valente, J., Hadley, A. and Betts, M. (2016) Corridors Restore Animal-Mediated Pollination in Fragmented Tropical Forest Landscapes. Proceedings of the Royal Society B, 283, doi:10.1098/rspb.2015.2347.
  • März, A., Klein, N., Kneib, T. and Mußhoff, O. (2016) Analysing farmland rental rates using Bayesian geoadditive quantile regression. European Review of Agricultural Economics, 43, 663-–698, doi:10.1093/erae/jbv028.
  • Klein, N. and Kneib, T. (2016) Simultaneous Inference in Structured Additive Conditional Copula Regression Models: A Unifying Bayesian Approach. Statistics and Computing, 26, 841--860, doi:10.1007/s11222-015-9573-6.
  • Klein, N., Kneib, T., Lang, S. and Sohn, A. (2015) Bayesian Structured Additive Distributional Regression with an Application to Regional Income Inequality in Germany. Annals of Applied Statistics, 9, 1024-1052.
  • Herwartz, H., Klein, N. and Strumann, C. (2016) Modelling hospital admission and length of stay by means of generalised count data models. Journal of Applied Econometrics, 6, 1159-1182, doi:10.1002/jae.2454.
  • Sohn, A., Klein, N. and Kneib, T. (2015) A Semiparametric Analysis of Conditional Income Distributions. Schmollers Jahrbuch - Journal of Applied Science Studies, 135, 13-22, doi:10.3790/schm.135.1.13.
  • Klein, N., Kneib, T., Klasen, S. and Lang, S. (2015) Bayesian Structured Additive Distributional Regression for Multivariate Responses. Journal of the Royal Statistical Society: Series C, 64, 569-591, doi:10.1111/rssc.12090.
  • Klein, N., Kneib, T. and Lang, S. (2015) Bayesian Generalized Additive Models for Location, Scale and Shape for Zero-Inflated and Overdispersed Count Data. Journal of the American Statistical Association, 110, 405-419, doi:10.1080/01621459.2014.912955.
  • Klein, N., Denuit, M., Lang, S. and Kneib, T. (2014) Nonlife ratemaking and risk management with Bayesian generalized additive models for location, scale, and shape. Insurance: Mathematics and Economics, 55, 225-249.
  • Razen, A., Brunauer, W., Klein, N., Lang, S. and Umlauf, N. (2014) Hedonic House Price Modeling based on Multilevel Structured Additive Regression, to appear in Computational Approaches for Urban Economics, Springer Verlag. Edited by Helbich, M., Jokar, J. und Leitner, M.

Other Publications:

  • Klein, N., Gude, F., Cadarso-Suárez, C. and Kneib, T. (2014) Bivariate Gaussian Distributional Regression: An Application on Diabetes, in 'Proceedings of the 29th International Workshop on Statistical Modelling', T. Kneib, F. Sobotka, J.Fahrenholz, H. Irmer, eds. Vol. 1, pp. 167-172.
  • Klein, N., Kneib, T. and Lang, S. (2013) Bayesian generalized additive models for location, scale and shape for insurance data, in 'Proceedings of the 29th International Workshop on Statistical Modelling', V. M. R. Muggeo, V. Capursi, G. Boscaino and G. Lovison, eds. Vol. 2, pp. 645-650. 

Prices and Awards

  • since 07/2016: Lifetime member of the Alexander von Humboldt Foundation
  • 2015: Award of the Georg-August-Universitaet Goettingen for outstanding dissertation Bayesian Structured Additive Distributional Regression
  • 2015: Wolfgang-Wetzel-Price 2015 of the German Statistical Society for the paper Bayesian Generalized Additive Models for Location, Scale and Shape for Zero-Inflated and Overdispersed Count Data
  • 2014: Award of the Universitaetsbund Goettingen for the dissertation Bayesian Structured Additive Distributional Regression

Memberships

  • since 2018: Member of the German Statistical Society (DStatG)
  • since 2018: American Statistical Association (ASA) Early Career Member
  • since 2017: Member of The German Association of University Professors and Lecturers (DHV)
  • since 2017: Member of the Bayesian Analysis and Modeling Research Group, University of Melbourne
  • since 2015: Member of the Centre for Statistics, University of Goettingen
  • 2012-2014: Member of the RTG 1644 "Scaling Problems in Statistics"