Submitted Papers & Preprints

  1. Stadlmann, S. and Kneib, T. (2019)
    distreg.vis: Interactively visualizing distributional regression models
  2. Santos, B. and Kneib, T. (2019)
    Noncrossing structured additive multiple-output Bayesian quantile regression models
  3. Darras, K. F. A., Corre. M. D., Formaglio, G., Tjoa, A., Potapov, A., Brambach, F., Sibhatu, K. T., Grass, I., Tscharntke, T., Angulo Rubiano, A., Buchori, D., Drescher, J., Fardiansah, R., Hölscher, D., Irawan,, B., Kneib, T., Krashevska, V., Krause, A., Kreft, H., Li, K., Maraun, M., Polle, A., Ryadin, A. R., Rembold, K., Scheu, S., Tarigan, S., Valdés-Uribe, A., Yadi, S. and Veldkamp, E. (2019)
    Reducing fertilizer and avoiding herbicides in oil palm plantations - ecological and economic valuations
  4. Klein, N., Hothorn, T. and Kneib, T. (2019)
    Multivariate Conditional Transformation Models
  5. Hambuckers, J. and Kneib, T. (2019)
    Operational risk, uncertainty, and the economy: a smooth transition extreme value approach
  6. Marques, I., Klein,. N. and Kneib, T. (2019)
    Non-Stationary Spatial Regression for Modelling Monthly Precipitation in Germany
  7. Briseño Sanchez, G., Hohberg, M., Groll, A. and Kneib, T. (2018)
    Flexible instrumental variable distributional regression
  8. Säfken, B. and Kneib, T. (2018)
    Conditional Covariance Penalties for Mixed Models
  9. Klein, N,, Carlan, M., Kneib, T., Lang, S. and Wagner, H. (2018)
    Bayesian Effect Selection in Structured Additive Distributional Regression Models
  10. Herbst, H., Minnich, A., Herminghaus, S., Kneib, T., Wacker, B. and Schlüter, J. C. (2018)
    A Behavioral Economic Perspective on Demand Responsive Transportation
  11. 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
  12. Adam, T., Mayr, A. and Kneib, T. (2018)
    Gradient boosting in Markov-switching generalized additive models for location, scale and shape
  13. Klein, N., Herwartz, H. and Kneib, T. (2018)
    Modelling Regional Patterns of Efficiency: A Bayesian Approach to Geoadditive Panel Stochastic Frontier Analysis with an Application to Cereal Production in England and Wales
  14. Espasandín-Domínguez, J., Cadarso-Suárez, C., Kneib, T., Marra, G., Klein, N., Radice, R., Lado-Baleato, O., González Quintela, A., Gude, F. (2018)
    Flexible copula regression models for assessing the relationship between markers of glycemic control
  15. Hohberg, M., Pütz, P. and Kneib, T. (2017)
    Treatment Effects Beyond the Mean: A Practical Guide Using Distributional Regression
  16. Michaelis, P., Klein, N. and Kneib, T. (2017)
    Mixed Discrete-Continuous Regression - A Novel Approach Based on Weight Functions
  17. 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
  18. Klein, N. and Kneib, T. (2016)
    A New Notion of Bivariate Quantiles based on the Cumulative Distribution Function
  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. Klein, N., Malzahn, D., Rosenberger, A., Lozano-Kühne, J., Kneib, T. and Bickeböller, H. (2015)
    Candidate gene association analysis for a continuous phenotype with a spike at zero using parent-offspring trios
  21. März, A., Klein, N., Kneib, T. and Mußhoff, O. (2015)
    Intergenerational social mobility in the United States: A multivariate analysis using Bayesian distributional regression
  22. Oelker, M. R., Sobotka, F., Klein, N. and Kneib, T. (2014)
    Semiparametric Mode Regression
  23. 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
  24. Sobotka, F., Schnabel, S., Schulze Waltrup, L., Kauermann, G. and Kneib, T. (2012)
    expectreg: An R Package for Expectile Regression