Submitted Papers & Preprints

1. 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
2. Habereder, I., Kneib, T., Echizen, I. and Spinde, T. (2025)
   A Systematic Review of Spatio-Temporal Statistical Models: Theory, Structure, and Applications
3. 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
4. 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
5. Hüllen, T., Witforth, S. and Kneib, T. (2025)
   Behind the Curtain: Technology Maturity Estimation Using Hidden Markov Models
6. 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
7. 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
8. Herp, M., Brachem, J., Altenbuchinger, M. and Kneib, T. (2025)
   Graphical Transformation Models
9. Costa, R., de Sousa, B., Kneib, T., Martins, R. and Mayr, A. (2025)
   Methodological guidance on clinical prediction models in mental health research
10. Hagemann, N., Kneib, T. and Möllenhoff, K. (2025)
    Capturing heterogeneous time-variation in covariate effects in non-proportional hazard regression models
11. Hagemann, N., Guhl, D., Kneib, T., Möllenhoff, K. and Steiner, W. J. (2024)
    Dynamic Heterogeneity in Discrete Choice Experiments
12. 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
13. Brachem, J., Wiemann, P. F. V. and Kneib, T. (2024)
    Bayesian Penalized Transformation Models: Structured Additive Location-Scale Regression for Arbitrary Conditional Distributions
14. 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
15. Dupont, E., Marques, I. and Kneib, T. (2023)
    Demystifying Spatial Confounding
16. Kruse, R.-M., Säfken, B. and Kneib, T. (2023)
    Measuring Neural Complexity: A Covariance Penalty Approach
17. 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