Submitted Papers & Preprints

  1. Wiemann, P., Klein, N. and Kneib, T. (2020)
    Correcting for Sample Selection Bias in Bayesian Distributional Regression Models
  2. Marques, I., Kneib, T. and Klein, N. (2020)
    Non-stationary wrapped Gaussian spatial response model
  3. Spiegel, E., Kneib, T., von Gablenz, P. and Otto-Sobotka, F. (2020)
    Generalized expectile regression with flexible response function
  4. 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
  5. Wacker, B., Kneib, T. and Schlüter, J. (2020)
    On Existence and Uniqueness of Maximum Log-Likelihood Parameter Estimation for Two-Parameter Weibull Distributions
  6. 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
  7. Wiemann, P. and Kneib, T. (2019)
    Using the Softplus Function to Construct Alternative Link Functions in Generalized Linear Models and Beyond
  8. Seiler, J., Kneib, T., Lang, S. and Harttgen, K.(2019)
    Modelling Children’s Anthropometric Status using Bayesian Distributional Regression merging Socio-economic and Remote Sensed Data from South Asia and Sub-Saharan Africa
  9. Hohberg, M., Donat, F., Marra, G. and Kneib, T. (2019)
    Beyond unidimensional poverty analysis using distributional copula models for mixed ordered-continuous outcomes
  10. 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
  11. Stadlmann, S. and Kneib, T. (2019)
    distreg.vis: Interactively visualizing distributional regression models
  12. Klein, N., Hothorn, T. and Kneib, T. (2019)
    Multivariate Conditional Transformation Models
  13. Hambuckers, J. and Kneib, T. (2019)
    Operational risk, uncertainty, and the economy: a smooth transition extreme value approach
  14. Briseño Sanchez, G., Hohberg, M., Groll, A. and Kneib, T. (2018)
    Flexible instrumental variable distributional regression
  15. Herbst, H., Minnich, A., Herminghaus, S., Kneib, T., Wacker, B. and Schlüter, J. C. (2018)
    A Behavioral Economic Perspective on Demand Responsive Transportation
  16. Udy, K. L., Fritsch, M., Grass, I., Hartig, F., Kneib, T., Kreft, H., Kukunda, C., Meyer, K. M., Pe’er, G., Reininghaus, H., Tietjen, B., Tscharntke, T., van Waveren, C.-S. and Wiegand, K. (2018)
    Environmental heterogeneity predicts global species richness patterns better than area
  17. Adam, T., Mayr, A. and Kneib, T. (2018)
    Gradient boosting in Markov-switching generalized additive models for location, scale and shape
  18. 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
  19. 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
  20. März, A., Klein, N., Kneib, T. and Mußhoff, O. (2015)
    Intergenerational social mobility in the United States: A multivariate analysis using Bayesian distributional regression
  21. Oelker, M. R., Sobotka, F., Klein, N. and Kneib, T. (2014)
    Semiparametric Mode Regression
  22. 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
  23. Sobotka, F., Schnabel, S., Schulze Waltrup, L., Kauermann, G. and Kneib, T. (2012)
    expectreg: An R Package for Expectile Regression