Research

You can also find my published work as well as my working papers on my Google Scholar profile.

Publications

Camehl, A., Fok, D. & Gruber, K. (2024+). On superlevel sets of conditional densities and multivariate quantile regression, Journal of Econometrics. [working paper]

Mair, P. & Gruber, K. (2022). Bayesian Explanatory Additive IRT Models. British Journal of Mathematical and Statistical Psychology, 75(1), 59-87. [doi: 10.1111/bmsp.12245, other files]

Reutterer, T., March, N,. Hornik, K. & Gruber, K. (2016). A Data Mining Framework for Targeted Category Promotions. Journal of Business Economics, 87 (3), 337-358. [doi: 10.1007/s11573-016-0823-7]

Andreas, M., Kuessel, L., Kastl, S.P., Wirth, S., Gruber, K., Rhomberg, F., Gomari-Grisar, F.A., Franz, M., Zeisler, H. & Gottsauner-Wolf, M. (2016). Bioimpedance cardiography in pregnancy: A longitudinal cohort study on hemodynamic pattern and outcome. BMC Pregnancy and Childbirth, 16(1), 128. [doi: 10.1186/s12884-016-0918-8]

Mair, P., Hofmann, E., Gruber, K., Hatzinger, R., Zeileis, A. & Hornik, K. (2015). Motivation, values, and work design as drivers of participation in the R open source project for statistical computing. Proceedings of the National Academy of Sciences, 112 (48), 14788–14792. [doi.org/10.1073/pnas.1506047112, other files]

Maca, S., Amirian, A., Prause, C., Gruber, K., Mejdoubi, L. & Barisani- Asenbauer, T. (2012). Understanding the impact of uveitis on health-related quality of life in adolescents. Acta Ophthalmologica, 91 (3): 219–224. [doi: 10.1111/aos.12016]

Maca, S., Schiesser, A.W., Sobala, A., Gruber, K., Pakesch, G., Prause, C. & Barisani-Asenbauer, T. (2010). Distress, depression and coping in HLA-B27-associated anterior uveitis with focus on gender differences. British Journal of Ophthalmology, 95 (9): 699–704. [doi: 10.1136/bjo.2009.174839]

Working Papers

Mueller, M., Gruber, K. & Fok, D. (2024). Continuous Diffusion for Mixed-Type Tabular Data. arXiv preprint arXiv:2312.10431. [working paper]

Gruber, K. & De Vreede, J. (2024): Conversion Attribution Under Uncertainty.

Ongoing Projects

Gruber, K. & Mair, P.: On Prior Choices in Bayesian Regression Models.

Schoonees, P., Groenen, P. & Gruber, K.: Quadratic Majorization of Categorical Response Models.

De Vreede, J. & Gruber, K.: Continuous Learning for Mixture Cure Models in a Real-Time-Bidding Environment.

Software

Mair, P., Rosseel, Y. & Gruber, K. (2023). CRAN Task View: Psychometric Models and Methods.

Rusch, T., Gruber, K., Wurzer, M. & Tritchler, D. (2023). Chain graph models in R.