Submitted Papers & Preprints

  1. Röder, J., Muntermann, J. and Kneib, T. (2019)
    Towards a Taxonomy of Data Heterogeneity
  2. Voncken, L., Kneib, T., Albers, C. J., Umlauf, N. and Timmerman, M. E. (2019)
    Bayesian Gaussian distributional regression models for more efficient norm estimation
  3. Hohberg, M., Donat, F., Marra, G. and Kneib, T. (2019)
    Beyond unidimensional poverty analysis using distributional copula models for mixed ordered-continuous outcomes
  4. 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
  5. van der Wurp, H., Groll, A., Kneib, T., Marra, G. and Radice, R. (2019)
    Generalised joint regression for count data with a focus on modelling football matches
  6. Stadlmann, S. and Kneib, T. (2019)
    distreg.vis: Interactively visualizing distributional regression models
  7. Santos, B. and Kneib, T. (2019)
    Noncrossing structured additive multiple-output Bayesian quantile regression models
  8. 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
  9. Klein, N., Hothorn, T. and Kneib, T. (2019)
    Multivariate Conditional Transformation Models
  10. Hambuckers, J. and Kneib, T. (2019)
    Operational risk, uncertainty, and the economy: a smooth transition extreme value approach
  11. Marques, I., Klein,. N. and Kneib, T. (2019)
    Non-Stationary Spatial Regression for Modelling Monthly Precipitation in Germany
  12. Briseño Sanchez, G., Hohberg, M., Groll, A. and Kneib, T. (2018)
    Flexible instrumental variable distributional regression
  13. Säfken, B. and Kneib, T. (2018)
    Conditional Covariance Penalties for Mixed Models
  14. Klein, N,, Carlan, M., Kneib, T., Lang, S. and Wagner, H. (2018)
    Bayesian Effect Selection in Structured Additive Distributional Regression Models
  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. 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
  19. Hohberg, M., Pütz, P. and Kneib, T. (2017)
    Treatment Effects Beyond the Mean: A Practical Guide Using Distributional Regression
  20. Michaelis, P., Klein, N. and Kneib, T. (2017)
    Mixed Discrete-Continuous Regression - A Novel Approach Based on Weight Functions
  21. 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
  22. Klein, N. and Kneib, T. (2016)
    A New Notion of Bivariate Quantiles based on the Cumulative Distribution Function
  23. 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
  24. 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
  25. März, A., Klein, N., Kneib, T. and Mußhoff, O. (2015)
    Intergenerational social mobility in the United States: A multivariate analysis using Bayesian distributional regression
  26. Oelker, M. R., Sobotka, F., Klein, N. and Kneib, T. (2014)
    Semiparametric Mode Regression
  27. 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
  28. Sobotka, F., Schnabel, S., Schulze Waltrup, L., Kauermann, G. and Kneib, T. (2012)
    expectreg: An R Package for Expectile Regression