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Contact (Office)

N.N.
rctrust.kleinlab.fk05@tu-dortmund.de
0231 7557820
Joseph-von-Fraunhofer-Str. 25
44227 Dortmund
Germany

News

  • Clara Hoffmann is going to present at the PyCon DE & PyData Berlin 2023 (17. April - 19. April 2023) on debugging custom PyTorch models in a structured manner. More details regarding her talk can be found here. (21.02.2023)
  • The paper "Bayesian Conditional Transformation Models" by Manuel Carlan, Thomas Kneib and Nadja Klein was accepted for publication in the Journal of the American Statistical Association. The arXiv preprint can be found here. (21.02.2023)
  • The paper "Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices" by Nadja Klein, Michael Stanley Smith and David J. Nott (Journal of Applied Econometrics) can be found here. (21.02.2023)
  • The paper "Modeling Intra-Annual Tree Stem Growth with a Distributional Regression Approach for Gaussian Process Responses" by Hannes Riebl, Nadja Klein and Thomas Kneib was accepted at Journal of the Royal Statistical Society, Series C (Applied Statistics). (21.01.2023)
  • A new working paper "Scalable Estimation for Structured Additive Distributional Regression" by Nikolaus Umlauf, Johannes Seiler, Matthias Wetscher, Thorsten Simon, Stefan Lang and Nadja Klein can be found here. (13.01.2023)
  • The paper "Semi-Structured Distributional Regression" by David Ruegamer, Chris Kolb and Nadja Klein was accepted at The American Statistician. (01.01.2023)
  • We welcome Ivan Ustyuzhaninov as postdoctoral researcher, Clara Hoffmann as PhD student and Tim-Moritz Bündert as research assistant to our group. (01.01.2023)
  • We will move from Humboldt-Universität zu Berlin to TU Dortmund in April 2023! (01.01.2023)
  • New working paper "Accounting for Time Dependency in Meta-Analyses of Concordance Probability Estimates" by Matthias Schmid, Tim Friede, Nadja Klein and Leonie Weinhold can be found here. (03.12.2022)
  • New working paper "Anisotropic multidimensional smoothing using Bayesian tensor product P-splines" by Paul Bach and Nadja Klein can be found here. (29.11.2022)
  • New working paper "Informed Priors for Knowledge Integration in Trajectory Prediction" by Christian Schlauch, Nadja Klein and Christian Wirth can be found here. (01.11.2022)
  • New working paper "Distributional Adaptive Soft Regression Trees" by Nikolaus Umlauf and Nadja Klein can be found here. (19.10.2022)

Team

Prof. Dr. Nadja Klein Nadja Klein Group Lead ___________
Paul Bach Paul Bach PhD Student
Guillermo Briseno-Sanchez Guillermo Briseno-Sanchez PhD Student
Tim-Moritz Bündert Tim-Moritz Bündert Research Assistant
Ekin Celikkan Ekin Celikkan PhD Student
Clara Hoffmann Clara Hoffmann PhD Student
Maarten Jung Maarten Jung Research Assistant
Lucas Kock Lucas Kock PhD Student
Victor Medina-Olivares, PhD Victor Medina-Olivares Postdoctoral Researcher
Pallavi Mitra Pallavi Mitra PhD Student
Christian Schlauch Christian Schlauch PhD Student
Bettina Schmidt Bettina Schmidt PhD Student
Michael Stanley Smith Michael Stanley Smith Mercator Fellow
Ivan Ustyuzhaninov Ivan Ustyuzhaninov Postdoctoral Researcher
Annalena Weissert Annalena Weissert Student Assistant

Research

Research Interests

The group's research interests broadly lie at the intersection of machine learning and traditional statistical methods. This includes Bayesian Computational Methods, Bayesian Deep Learning, Machine Learning, Smoothing, Regularization and Shrinkage, Distributional Regression, Network Analysis as well as Spatial Statistics.

Ongoing Third-Party Research Projects

Prof. Klein is principal investigator in the following research projects.

Publications

See the Google Scholar page of Prof. Klein for a complete list. Below you can find some key publications and recent working papers.

Selected Publications

  • Bayesian conditional transformation models pdf

    M. Carlan, T. Kneib and N. Klein
    To appear in Journal of the American Statistical Association, 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
  • Multivariate Conditional Transformation Models pdf

    N. Klein, T. Hothorn, L. Barbanti and T. Kneib
    Scandinavian Journal of Statistics, 49(1), 116-142, 2022
  • 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
  • Bayesian Inference for Regression Copulas pdf

    M. S. Smith and N. Klein
    Journal of Business and Economic Statistics, 39(3), 712-728, 2021
  • 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
  • Implicit Copulas from Bayesian Regularized Regression Smoothers pdf

    N. Klein and M. S. Smith
    Bayesian Analysis, 14(4), 1143-1171, 2019
  • 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
  • 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
  • Bayesian Conditional Transformation Models pdf

    M. Carlan, T. Kneib and N. Klein
    To appear in Journal of the American Statistical Association.
  • Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices pdf

    N. Klein, M. S. Smith and D. J. Nott
    To appear in Journal of Applied Econometrics.
  • Learning Causal Graphs in Manufacturing Domains Using Structural Equation Model

    M. Kertel, S. Harmeling, M. Pauly and N. Klein
    To appear in International Journal of Semantic Computing.
  • Estimating Uncertainty in Real Estate Valuation: A Multilevel Approach based on Distributional and Quantile Regression

    A. Razen, W. Brunauer, N. Klein, T. Kneib, S. Lang and N. Umlauf
    To appear in Statistical Modelling.
  • Boosting Multivariate Structured Additive Distributional Regression Models pdf

    A. Strömer, N. Klein, C. Staerk, H. Klinkhammer and A. Mayr
    To appear in Statistics in Medicine.
  • Semi-Structured Distributional Regression pdf

    D. Rügamer, C. Kolb and N. Klein
    To appear in The American Statistician.
  • Gaussian Process Responses in Distributional Regression: A versatile Model Class with an Application to Tree Growth Dynamics

    H. Riebl, N. Klein and T. Kneib
    To appear in Journal of the Royal Statistical Society, Series C.

Working Papers

  • Dropout regularization in extended generalized linear models based on double exponential families pdf

    B. Lütke Schwienhorst, L. Kock, D. Nott and N. Klein, 2023
  • The deep promotion time cure model pdf

    V. Medina-Olivares, S. Lessmann and N. Klein, 2023
  • 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, 2023
    Submitted. Available on request.
  • Scalable estimation for structured additive distributional regression pdf

    N. Umlauf, J. Seiler, M. Wetscher, T. Simon, S. Lang and N. Klein, 2023
  • Farm Structure and Environmental Context drive Farmers' Decisions on the Allocation of Ecological Focus Areas in Germany

    V. Alarcón-Segura, S. Roilo, A. Paulus, M. Beckmann, N. Klein and A. Cord, 2022
    Submitted. Available on request.
  • Anisotropic Multidimensional Smoothing using Bayesian Tensor Product P-Splines pdf

    P. Bach and N. Klein, 2022
  • MultiFlags: Multi-Class Size Recommendations for Fashion E-Commerce

    H. Boeddeker, N. Klein, L. Lefakis, A. Weffer, L. Karessli and M. Shirvany, 2022
    Submitted. Available on request.
  • Incorporating Actor Heterogeneity Into Large Network Models through Variational Approximations pdf

    N. Klein and G. Kauermann, 2022
  • Intergenerational Social Mobility in the United States: A Multivariate Analysis using Bayesian Distributional Regression

    A. März, N. Klein, T. Kneib and O. Mußhoff, 2022
    Submitted. Available on request.
  • A Multidimensional Approach is needed to better quantify Land-Use Intensity in Biodiversity Models

    S. Roilo, A. Paulus, V. Alarcón Segura, L. Kock, M. Beckmann, N. Klein and A. Cord, 2022
    Submitted. Available on request.
    • Informed Priors for Knowledge Integration in Trajectory Prediction pdf

      C. Schlauch, N. Klein and C. Wirth, 2022
      Submitted.
    • Accounting for Time Dependency in Meta-Analyses of Concordance Probability Estimates pdf

      M. Schmid, L. Weinhold, N. Klein and T. Fried, 2022
    • Distributional Adaptive Soft Regression Trees pdf

      N. Umlauf and N. Klein, 2022
      Submitted.
    • Scalable Estimation for Structured Additive Distributional Regression pdf

      N. Umlauf, J. Seiler, M. Wetscher, T. Simon, S. Lang and N. Klein, 2022
      Submitted.
    • Posterior Concentration Rates for Bayesian O'Sullivan Penalized Splines pdf

      P. Bach and N. Klein, 2021
    • Bayesian Effect Selection for Additive Quantile Regression with an Analysis to Air Pollution Thresholds pdf

      N. Klein and J. Mateu, 2021
      R& R Annals of Applied Statistics
    • Flexible Specification Testing in Semi-Parametric Quantile Regression Models pdf

      T. Kutzker, N. Klein and D. Wied, 2021
    • Bivariate Analysis of Birth Weight and Gestational Age depending on Environmental Exposures: Bayesian Distributional Regression with Copulas pdf

      J. Rathjens, A. Kolbe, J. Hölzer, K. Ickstadt and N. Klein, 2021
    • Approximate Bayesian Computation for Parameter Identification in Computational Mechanics

      M. G. R. Faes, N. Klein, M. Pauly, M. A. Valdebenito and M. A. Misraji, 2023
      Submitted to the 14th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP14.

Teaching