Schwendinger, B., Schwendinger, F., & Vana, L. (2024). Holistic Generalized Linear Models. JOURNAL OF STATISTICAL SOFTWARE, 108(7), 1–49. https://doi.org/10.18637/jss.v108.i07 ( reposiTUm)

Schwendinger, F., Vana, L., & Hornik, K. (2024). Readability prediction: How many features are necessary? Annals of Applied Statistics, 18(2), 1010–1034. https://doi.org/10.1214/23-AOAS1820 ( reposiTUm)

Vana, L., & Hornik, K. (2023). Dynamic modelling of corporate credit ratings and defaults. Statistical Modelling, 23(4), 357–375. https://doi.org/10.1177/1471082X211057610 ( reposiTUm)

Parzer, R., Filzmoser, P., & Vana Gür, L. (2024). Random projections for classification with high-dimensional data. In Proceedings of the 38th International Workshop on Statistical Modelling (pp. 236–239). ( reposiTUm)

Parzer, R., Vana Gür, L., & Filzmoser, P. (2024). Sparse data-driven random projection in regression for high-dimensional data. In P. Filzmoser (Ed.), Program and Abstracts: Austrian Statistical Days 2024 (pp. 11–11). ( reposiTUm)

Parzer, R., Vana Gür, L., & Filzmoser, P. (2023). Combining New Dimension Reduction Tools for High-Dimensional Regression. In DSSV 2023 : Book of Abstracts (pp. 103–103). ( reposiTUm)

Parzer, R., Vana Gür, L., & Filzmoser, P. (2023, March 8). High-dimensional Regression using Screening, Random Projection and Averaging [Conference Presentation]. 16th German Probability and Statistics Days 2023, Essen, Germany. ( reposiTUm)

Parzer, R., & Vana Gür, L. (2022, October 1). Bayesian Dimension Reduction for Regressions in High Dimensions [Conference Presentation]. 26th Young Statisticians Meeting, Bohinj, Slovenia. ( reposiTUm)

Vana Gür, L. (2022, January 18). Posterior Predictive Model Checking Using Formal Methods [Presentation]. Research Seminar Talk Paris Lodron Universität Salzburg, Salzburg, Austria. http://hdl.handle.net/20.500.12708/196589 ( reposiTUm)

Vana Gür, L. (2021, October 7). Analysis of Spatio-Temporal Data Using Bayesian and Formal Methods [Conference Presentation]. 2021 Women in Statistics and Data Science Conference, United States of America (the). ( reposiTUm)

Parzer, R., Vana Gür, L., & Filzmoser, P. (2024). spar: Sparse Projected Averaged Regression in R. arXiv. https://doi.org/10.34726/8080 ( reposiTUm)

Parzer, R., Filzmoser, P., & Vana Gür, L. (2024). Data-Driven Random Projection and Screening for High-Dimensional Generalized Linear Models. arXiv. https://doi.org/10.34726/8079 ( reposiTUm)

Parzer, R., Vana Gür, L., & Filzmoser, P. (2023). Sparse Projected Averaged Regression for High-Dimensional Data. arXiv. https://doi.org/10.34726/5489 ( reposiTUm)

Vana Gür, L., Visconti, E., Nenzi, L., Cadonna, A., & Kastner, G. (2022). Posterior predictive model assessment using formal methods in a spatio-temporal model. arXiv. https://doi.org/10.48550/arXiv.2110.01360 ( reposiTUm)