Submitted Papers & Preprints
- Lado Baleato, Ó., Kneib, T., Cadarso-Suárez, C., Gude, F. (2022)
Multivariate reference regions based on Multivariate Conditional Transformation Models. Application in the measurement of glycemic markers in diabetes - Loske, D., Klumpp, M., Kneib, T. and Montemanni, R. (2022)
Incorporating human factors in the Theory of Constraints: A data-driven throughput time evaluation for manual material handling in retail operations - Riebl, H., Klein, N. and Kneib, T. (2021)
Modeling Intra-Annual Tree Stem Growth with a Distributional Regression Approach for Gaussian Process Responses - Friedrich, S., Groll, A., Ickstadt, K., Kneib, T., Pauly, M., Rahnenführer, J. and Friede, T. (2021)
Regularization approaches in clinical biostatistics: A review of methods and their applications - Säfken, B., Kneib, T. and Wood, S. (2021)
On the degrees of freedom of the smoothing parameter - Rügamer, D., Baumann, P., Kneib, T. and Hothorn, T. (2021)
Transforming Autoregression: Interpretable and Expressive Time Series Forecasts - Marmolejo-Ramos, F., Tejo, M., Brabec, M., Kuzilek, J., Joksimovic, S., Kovanovic, V., González, J., Kneib, T., Bühlmann, P., Kook, L., Briseño-Sánchez, G., Ospina, R. (2021)
Distributional regression analysis of learning analytics and educational data - Correa, J. C., Kneib, T., Ospina, R. and Marmolejo-Ramos, F. (2021
The Dunning-Kruger Effect: A Conceptual and Statistical Review - Svanidze, D., Python, A.,Weisser, C., Säfken, B., Kneib, T. and Fu, J. (2021)
Towards Replicable Deep Learning Algorithms in Public Health: A Case Study on Predicting Early COVID-19 Infections in China - Dorn, F., Radice, R., Marra, G. and Kneib, T. (2021)
A Bivariate Relative Poverty Line for Time and Income Poverty: Detecting Intersectional Differences Using Distributional Copulas - Dorn, F., Maxand, S. and Kneib, T. (2021)
The nonlinear dependence of income inequality and carbon emissions: potentials for a sustainable future - Carlan, M., Kneib, T. and Klein, N. (2021)
Bayesian Conditional Transformation Models - Marques, I., Kneib, T. and Klein, N. (2020)
A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes - Wacker, B., Kneib, T. and Schlüter, J. (2020)
On Existence and Uniqueness of Maximum Log-Likelihood Parameter Estimation for Two-Parameter Weibull Distributions - Seebaß, J. V., Schlüter, J. C., Wacker, B. and Kneib, T. (2020)
Application of an additive structured copula regression on the joint wind speed and wind direction distribution - Wiemann, P., Kneib, T. and Hambuckers, J. (2019)
Using the Softplus Function to Construct Alternative Link Functions in Generalized Linear Models and Beyond - Gutleb, D. R., Roos, C., Heistermann, M., De Moor, D., Kneib, T., Noll, A., Schülke, O. and Ostner, J. (2019)
A multi-locus genetic risk score modulates social buffering of HPA axis activity in wild male primates - Herbst, H., Minnich, A., Herminghaus, S., Kneib, T., Wacker, B. and Schlüter, J. C. (2018)
A Behavioral Economic Perspective on Demand Responsive Transportation - Razen, A., Brunauer, W., Klein, N., Kneib, T., Lang, S. and Umlauf, N. (2015)
Estimating Uncertainty in Real Estate Valuation: A Multilevel Approach based on Distributional and Quantile Regression - Oelker, M. R., Sobotka, F., Klein, N. and Kneib, T. (2014)
Semiparametric Mode Regression