Submitted Papers & Preprints

  1. Seufert, J. D., Python, A., Weißer, C., Cisneros, E., Kis-Katos, K. and Kneib, T. (2021)
    Mapping ex-ante spatial risks of COVID-19 in Indonesia using a Bayesian geostatistical model on airport network data
  2. Marques, I., Kneib, T. and Klein, N.(2021) A multivariate Gaussian random field prior against spatial confounding
  3. Dorn, F., Maxand, S. and Kneib, T. (2021)
    The dependence between income inequality and carbon emissions: A distributional copula analysis
  4. Carlan, M., Kneib, T. and Klein, N. (2021)
    Bayesian Conditional Transformation Models
  5. Kneib, T., Silbersdorff, A. and Säfken, B. (2020)
    Rage Against the Mean - A Review of Distributional Regression Approaches
  6. Weisser, C., Lenel, F., Lu, Y., Kis-Katos, K. and Kneib, T. (2020)
    Machine learning approaches for the daily classification of solar panel users with high frequency power usage data for default prediction
  7. Martins, R., de Sousa, B., Kneib, T., Hohberg, M., Klein, N., Rodrigues, V. and Duarte, E. (2020)
    Is age at menopause increasing? - Comparison of imputation methods to handle missing values
  8. Otto-Sobotka, F., Mirkov, R., Hofner, B. and Kneib, T. (2020)
    Modelling flow in gas transmission networks using shape-constrained expectile regression
  9. Wiemann, P., Kneib, T. and Wagner, H. (2020)
    Effect Selection and Regularization in Structured Additive Distributional Regression
  10. Wiemann, P., Klein, N. and Kneib, T. (2020)
    Correcting for Sample Selection Bias in Bayesian Distributional Regression Models
  11. Marques, I., Kneib, T. and Klein, N. (2020)
    Non-stationary wrapped Gaussian spatial response model
  12. Schmid, R., Kneib, T. and Ritz, A.(2020)
    Analytic expressions for the Cumulative Distribution Function of the Composed Error Term in Stochastic Frontier Analysis with Truncated Normal and Exponential Inefficiencies
  13. Wacker, B., Kneib, T. and Schlüter, J. (2020)
    On Existence and Uniqueness of Maximum Log-Likelihood Parameter Estimation for Two-Parameter Weibull Distributions
  14. 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
  15. Wiemann, P. and Kneib, T. (2019)
    Using the Softplus Function to Construct Alternative Link Functions in Generalized Linear Models and Beyond
  16. Hohberg, M., Donat, F., Marra, G. and Kneib, T. (2019)
    Beyond unidimensional poverty analysis using distributional copula models for mixed ordered-continuous outcomes
  17. 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
  18. Herbst, H., Minnich, A., Herminghaus, S., Kneib, T., Wacker, B. and Schlüter, J. C. (2018)
    A Behavioral Economic Perspective on Demand Responsive Transportation
  19. Adam, T., Mayr, A. and Kneib, T. (2018)
    Gradient boosting in Markov-switching generalized additive models for location, scale and shape
  20. Mascarenhas, A., Marques, F., Silva, S., Gouveia, S., Alves, M., Virella, D., Papoila, A. L., Kneib, T., Klein, N. and Neto, M. T. (2017)
    Determinants of the Variability of Oxygen Saturation during the First Minutes of Life of Term Neonates
  21. Razen, A., Brunauer, W., Klein, N., Kneib, T., Lang, S. and Umlauf, N. (2015)
    Statistical risk analysis for real estate collateral valuation using Bayesian distributional and quantile regression
  22. März, A., Klein, N., Kneib, T. and Mußhoff, O. (2015)
    Intergenerational social mobility in the United States: A multivariate analysis using Bayesian distributional regression
  23. Oelker, M. R., Sobotka, F., Klein, N. and Kneib, T. (2014)
    Semiparametric Mode Regression
  24. Alvaro-Meca, A., Reulen, H., Kneib, T., Rodriguez-Gijon, L., Gil de Miguel, A. and Resino, S. (2013)
    Risk of hospital readmission and death among HIV infected patients with tuberculosis. A recurrent event analysis
  25. Sobotka, F., Schnabel, S., Schulze Waltrup, L., Kauermann, G. and Kneib, T. (2012)
    expectreg: An R Package for Expectile Regression