Submitted Papers & Preprints

1. Callegher, G. and Kneib, T. (2026)
   Stochastic Variational Inference for Vine Copula Distributional Regression
2. Brachem, J. and Kneib, T. (2026)
   Reconciling Interpretability with Covariate-Dependent Shape Flexibility in Penalized Transformation Models for Distributional Regression
3. Bhadra, D. and Kneib, T. (2026)
   Physical and Emotional Intimate Partner Violence among Women in India: Co-occurrence and Contextual Heterogeneity
4. März, A., Genov, E., Kneib, T. and Bergmeir, C. (2026)
   Distributional Gradient Boosting Machines
5. Habereder, I., Kneib, T., Echizen, I., Spinde, T. (2026)
   Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics
6. Aschersleben, P., Granna, J., Kneib, T., Lang, S., Umlauf, N. and Steiner, W. (2026)
   Modelling multiplicative interaction effects in Gaussian structured additive regression models
7. Aschersleben, P., Kneib, T., Lang, S. and Steiner, W. (2026)
   Improving Brand Sales Forecasts: A Reparametrization Approach to Capture Time-Varying Price Effects in Semiparametric Sales Response Models
8. Groll, A., Iannario, M., Kneib, T. and Umlauf, N. (2026)
   Regularized Structured Additive Models for Ordinal Data with a Don’t Know Response Option
9. de Queiroz, F. F., Brachem, , J., Wiemann, P. and Kneib, T. (2026)
   Bayesian structured additive quantile regression for inflated bounded data
10. Cieply, I., Barros, L., Kneib, T., Silbersdorff, A., Kis-Katos, K. (2026)
    Why Female Professors Earn Less: The Role of Retention Negotiations and Performance Bonuses
11. Habereder, I., Kneib, T., Echizen, I. and Spinde, T. (2025)
    A Systematic Review of Spatio-Temporal Statistical Models: Theory, Structure, and Applications
12. Kneib, T., Schlüter, J. C. and Wacker, B. (2025)
    Global existence and global uniqueness of maximum log-likelihood estimation of two-parameter Inverse Weibull distributions - Analysis and applications
13. Hüllen, T., Witforth, S. and Kneib, T. (2025)
    Behind the Curtain: Technology Maturity Estimation Using Hidden Markov Models
14. Rosero, G., Schmidt, R., Kneib, T. and Brümmer, B. (2025)
    Semiparametric stochastic frontier analysis accounting for spatial dependency. A countrywide analysis of Ecuadorian cocoa producers
15. Bae, S., Westphal, C., Ammer, C., Hostert, P., Hüttel, S., Kis-Katos, K., Kneib, T., Kreft, H., Paul, C., Plieninger, T., Putzenlechner, B. M., Roetter, R., Schlund, M., Seidel, D., Siebert, S., Wiegand, K. and Knohl, A. (2025)
    Landscape Heterogeneity is Structured by Multidimensional Components and Land-Cover Proportion Interactions
16. Herp, M., Brachem, J., Altenbuchinger, M. and Kneib, T. (2025)
    Graphical Transformation Models
17. Hagemann, N., Guhl, D., Kneib, T., Möllenhoff, K. and Steiner, W. J. (2024)
    Dynamic Heterogeneity in Discrete Choice Experiments
18. Bruns, S.B., Herwartz, H., Islam, C.G., Kneib, T. and Malina, R. (2024)
    Ambiguous empirical results are not oversold but more focused on statistical significance
19. Barna, D. M. Engeland, K., Kneib, T., Thorarinsdottir T. L. and Xu, C.-Y. (2023)
    Regional flood frequency analysis at multiple durations: a comparison of duration consistency in quantile and parameter regression techniques
20. Kruse, R.-M., Säfken, B. and Kneib, T. (2023)
    Measuring Neural Complexity: A Covariance Penalty Approach
21. Riebl, H., Wiemann, P. F. V. and Kneib, T. (2022):
    Liesel: A Probabilistic Programming Framework for Developing Semi-Parametric Regression Models and Custom Bayesian Inference Algorithms