Laura Vana Gür
Publikationen
- | Bayesian Machine Learning Meets Formal Methods: An Application to Spatio-Temporal Data at reposiTUm , opens an external URL in a new windowVana, L., Visconti, E., Nenzi, L., Cadonna, A., & Kastner, G. (2025). Bayesian Machine Learning Meets Formal Methods: An Application to Spatio-Temporal Data. ACM Transactions on Probabilistic Machine Learning, 1(2), 1–29. https://doi.org/10.1145/3708479
- | spar: Sparse Projected Averaged Regression in R at reposiTUm , opens an external URL in a new windowParzer, R., Vana Gür, L., & Filzmoser, P. (2024). spar: Sparse Projected Averaged Regression in R. arXiv. https://doi.org/10.34726/8080
- | Data-Driven Random Projection and Screening for High-Dimensional Generalized Linear Models at reposiTUm , opens an external URL in a new windowParzer, 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
- | Readability prediction: How many features are necessary? at reposiTUm , opens an external URL in a new windowSchwendinger, 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
- | Wie künstliche Intelligenz Gender-Bias aufdeckt at reposiTUm , opens an external URL in a new windowVana Gür, L. (2024, April 2). Wie künstliche Intelligenz Gender-Bias aufdeckt. scilog - Das Wissenschaftsmagazin.
- | Holistic Generalized Linear Models at reposiTUm , opens an external URL in a new windowSchwendinger, 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
- | Multivariate ordinal regression for multiple repeated measurements at reposiTUm , opens an external URL in a new windowVana Gür, L. (2024). Multivariate ordinal regression for multiple repeated measurements. arXiv. https://doi.org/10.48550/arXiv.2402.00610
- | Random projections for classification with high-dimensional data at reposiTUm , opens an external URL in a new windowParzer, 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).
- | Sparse data-driven random projection in regression for high-dimensional data at reposiTUm , opens an external URL in a new windowParzer, 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).
- | Multivariate ordinal regression for multiple repeated measurements at reposiTUm , opens an external URL in a new windowVana Gür, L. (2024). Multivariate ordinal regression for multiple repeated measurements. Austrian Statistical Days 2024, Wien, Austria. https://doi.org/10.34726/6320
- | Sparse Projected Averaged Regression for High-Dimensional Data at reposiTUm , opens an external URL in a new windowParzer, R., Vana Gür, L., & Filzmoser, P. (2023). Sparse Projected Averaged Regression for High-Dimensional Data. arXiv. https://doi.org/10.34726/5489
- | Detecting Gender Bias in Children's Books at reposiTUm , opens an external URL in a new windowDamian, C., & Vana Gür, L. (2023, November 10). Detecting Gender Bias in Children’s Books. PhD Research Seminar in Mathematics for Economics and Business (“Brown Bag Seminar”), Vienna, Austria.
- | Dynamic modelling of corporate credit ratings and defaults at reposiTUm , opens an external URL in a new windowVana, L., & Hornik, K. (2023). Dynamic modelling of corporate credit ratings and defaults. Statistical Modelling, 23(4), 357–375. https://doi.org/10.1177/1471082X211057610
- | Combining New Dimension Reduction Tools for High-Dimensional Regression at reposiTUm , opens an external URL in a new windowParzer, 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).
- | High-dimensional Regression using Screening, Random Projection and Averaging at reposiTUm , opens an external URL in a new windowParzer, R., Vana Gür, L., & Filzmoser, P. (2023, March 8). High-dimensional Regression using Screening, Random Projection and Averaging. 16th German Probability and Statistics Days 2023, Essen, Germany.
- | Detecting Gender Bias in Children's Textual Literature at reposiTUm , opens an external URL in a new windowDamian, C., & Vana Gür, L. (2022, December 19). Detecting Gender Bias in Children’s Textual Literature. 16th International Conference on Computational and Financial Econometrics (CFE 2022), London, United Kingdom of Great Britain and Northern Ireland (the).
- | Posterior predictive model assessment using formal methods in a spatio-temporal model at reposiTUm , opens an external URL in a new windowVana 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
- | Bayesian Dimension Reduction for Regressions in High Dimensions at reposiTUm , opens an external URL in a new windowParzer, R., & Vana Gür, L. (2022, October 1). Bayesian Dimension Reduction for Regressions in High Dimensions. 26th Young Statisticians Meeting, Bohinj, Slovenia.
- | The role of communities of practice for career development in computational statistics at reposiTUm , opens an external URL in a new windowVana Gür, L. (2022, August 26). The role of communities of practice for career development in computational statistics. 24th International Conference on Computational Statistics, Bologna, Italy.
- | Holistic generalized linear models at reposiTUm , opens an external URL in a new windowSchwendinger, B., Schwendinger, F., & Vana Gür, L. (2022, June 22). Holistic generalized linear models. useR! 2022, United States of America (the).
- | Posterior Predictive Model Checking Using Formal Methods at reposiTUm , opens an external URL in a new windowVana Gür, L. (2022, January 18). Posterior Predictive Model Checking Using Formal Methods. Research Seminar Talk Paris Lodron Universität Salzburg, Salzburg, Austria.
- | A corporate credit rating model with autoregressive errors at reposiTUm , opens an external URL in a new windowHirk, R., Vana, L., & Hornik, K. (2022). A corporate credit rating model with autoregressive errors. Journal of Empirical Finance. https://doi.org/10.1016/j.jempfin.2022.09.002
- | Analysis of Spatio-Temporal Data Using Bayesian and Formal Methods at reposiTUm , opens an external URL in a new windowVana Gür, L. (2021, October 7). Analysis of Spatio-Temporal Data Using Bayesian and Formal Methods. 2021 Women in Statistics and Data Science Conference, United States of America (the).