Submitted Papers & Preprints

1. Bhadra, D. and Kneib, T. (2026)
   Physical and Emotional Intimate Partner Violence among Women in India: Co-occurrence and Contextual Heterogeneity
2. März, A., Genov, E., Kneib, T. and Bergmeir, C. (2026)
   Distributional Gradient Boosting Machines
3. Habereder, I., Kneib, T., Echizen, I., Spinde, T. (2026)
   Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics
4. Aschersleben, P., Granna, J., Kneib, T., Lang, S., Umlauf, N. and Steiner, W. (2026)
   Modelling multiplicative interaction effects in Gaussian structured additive regression models
5. 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
6. Groll, A., Iannario, M., Kneib, T. and Umlauf, N. (2026)
   Regularized Structured Additive Models for Ordinal Data with a Don’t Know Response Option
7. de Queiroz, F. F., Brachem, , J., Wiemann, P. and Kneib, T. (2026)
   Bayesian structured additive quantile regression for inflated bounded data
8. 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
9. Habereder, I., Kneib, T., Echizen, I. and Spinde, T. (2025)
   A Systematic Review of Spatio-Temporal Statistical Models: Theory, Structure, and Applications
10. 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
11. Hüllen, T., Witforth, S. and Kneib, T. (2025)
    Behind the Curtain: Technology Maturity Estimation Using Hidden Markov Models
12. 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
13. 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
14. Herp, M., Brachem, J., Altenbuchinger, M. and Kneib, T. (2025)
    Graphical Transformation Models
15. Hagemann, N., Guhl, D., Kneib, T., Möllenhoff, K. and Steiner, W. J. (2024)
    Dynamic Heterogeneity in Discrete Choice Experiments
16. 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
17. 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
18. Kruse, R.-M., Säfken, B. and Kneib, T. (2023)
    Measuring Neural Complexity: A Covariance Penalty Approach
19. 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