Submitted Papers & Preprints

1. de Queiroz, F. F., Brachem, , J., Wiemann, P. and Kneib, T. (2026)
   Bayesian structured additive quantile regression for inflated bounded data
2. 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
3. Brito, A. L., De Bastiani, F., Stasinopoulos, M. D., Rigby, R. A.,Manghi, R. F. and Kneib, T. (2025)
   Exploring and comparing pairwise nonlinear association measures for continuous variables
4. Habereder, I., Kneib, T., Echizen, I. and Spinde, T. (2025)
   A Systematic Review of Spatio-Temporal Statistical Models: Theory, Structure, and Applications
5. Mallick, S., Lichter, J., Bae, S., Kneib, T., Molleman, F., Leroy, B. M. L., Hilmers, T., Huszarik, M., Liebhold, A. M., Weisser, W. W., Jehle, J. A., Müller, J. and Prinzing, A. (2025)
   Forest trees delay budburst across landscapes to escape herbivory
6. 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
7. Hüllen, T., Witforth, S. and Kneib, T. (2025)
   Behind the Curtain: Technology Maturity Estimation Using Hidden Markov Models
8. 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
9. 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)
   Disentangling Landscape Heterogeneity: Compositional, Configurational, Vertical, and Temporal Heterogeneity by
10. Herp, M., Brachem, J., Altenbuchinger, M. and Kneib, T. (2025)
    Graphical Transformation Models
11. Costa, R., de Sousa, B., Kneib, T., Martins, R. and Mayr, A. (2025)
    Methodological guidance on clinical prediction models in mental health research
12. Hagemann, N., Kneib, T. and Möllenhoff, K. (2025)
    Capturing heterogeneous time-variation in covariate effects in non-proportional hazard regression models
13. Hagemann, N., Guhl, D., Kneib, T., Möllenhoff, K. and Steiner, W. J. (2024)
    Dynamic Heterogeneity in Discrete Choice Experiments
14. 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
15. Brachem, J., Wiemann, P. F. V. and Kneib, T. (2024)
    Bayesian Penalized Transformation Models: Structured Additive Location-Scale Regression for Arbitrary Conditional Distributions
16. 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
17. Dupont, E., Marques, I. and Kneib, T. (2023)
    Demystifying Spatial Confounding
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