Oguamalam, J., Radojičić, U., & Filzmoser, P. (2024). Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional Data. Technometrics, 66(4), 588–599. https://doi.org/10.1080/00401706.2024.2336542 ( reposiTUm)

Matys Grygar, T., Radojičić, U., Pavlu, I., Greven, S., Nešlehová, J. G., Tůmová, Š., & Hron, K. (2024). Exploratory functional data analysis of multivariate densities for the identification of agricultural soil contamination by risk elements. Journal of Geochemical Exploration, 259, Article 107416. https://doi.org/10.1016/j.gexplo.2024.107416 ( reposiTUm)

Rieser, C., Fačevicová, K., & Filzmoser, P. (2023). Cell-wise robust covariance estimation for compositions, with application to geochemical data. Journal of Geochemical Exploration, 253, Article 107299. https://doi.org/10.1016/j.gexplo.2023.107299 ( reposiTUm)

Nesrstová, V., Wilms, I., Palarea‐Albaladejo, J., Filzmoser, P., Martín‐Fernández, J. A., Friedecký, D., & Hron, K. (2023). Principal balances of compositional data for regression and classification using partial least squares. Journal of Chemometrics, 37(12), Article e3518. https://doi.org/10.1002/cem.3518 ( reposiTUm)

Archimbaud, A., Drmac, Z., Nordhausen, K., Radojičić, U., & Ruiz-Gazen, A. (2023). Numerical Considerations and a new implementation for invariant coordinate selection. SIAM JOURNAL ON MATHEMATICS OF DATA SCIENCE, 5(1), 97–121. https://doi.org/10.1137/22M1498759 ( reposiTUm)

Oguamalam, J., Radojicic, U., & Filzmoser, P. (2023). Functional Outlier Detection based on the Minimum Regularized Covariance Trace Estimator. In Book of abstracts: Joint conference of Data Science, Statistics & Visualisation and the European Conference on Data Analysis (pp. 102–102). ( reposiTUm)

Oguamalam, J., Radojicic, U., & Filzmoser, P. (2023). Minimum Regularized Covariance Trace Estimator and Outlier Detection for Functional Data. In Book of Abstracs - Olomoucian Days of Applied Mathematics ODAM 2023 (pp. 57–57). ( reposiTUm)

Möttönen, J., Nordhausen, K., Oja, H., & Radojicic, U. (2024). The Asymptotic Properties of the One-Sample Spatial Rank Methods. In M. Barigozzi, S. Hörmann, & D. Paindaveine (Eds.), Recent Advances in Econometrics and Statistics: Festschrift in Honour of Marc Hallin (pp. 49–69). Springer. https://doi.org/10.1007/978-3-031-61853-6_3 ( reposiTUm)

Radojicic, U., Mayrhofer, M., & Filzmoser, P. (2024, December 17). Expainable outlier detection for multivariate random processes with separable covariance structure [Conference Presentation]. ICSDS2024, Nizza, France. http://hdl.handle.net/20.500.12708/210712 ( reposiTUm)

Radojicic, U., Mayrhofer, M., & Filzmoser, P. (2024, October 3). Explainable outlier detection for multivariate functional data based on a functional Mahalanobis distance [Presentation]. Statistical seminar of Department of Mathematics, Croatia. http://hdl.handle.net/20.500.12708/210710 ( reposiTUm)

Radojičić, U., Mayrhofer, M., & Filzmoser, P. (2024, October 25). Explainable Outlier Detection for Multivariate Functional Data [Presentation]. Turku Applied Mathematics and Statistics Seminar, Finland. http://hdl.handle.net/20.500.12708/210711 ( reposiTUm)

Mayrhofer, M., Radojičić, U., & Filzmoser, P. (2024, July 31). Robust PCA and explainable outlier detection for multivariate functional data based on a functional Mahalanobis distance [Conference Presentation]. ICORS meets DSSV 2024, United States of America (the). http://hdl.handle.net/20.500.12708/210706 ( reposiTUm)

Oguamalam, J., Radojičić, U., & Filzmoser, P. (2024, September 5). Functional Outlier Detection [Conference Presentation]. SMPS2024, Salzburg, Austria. http://hdl.handle.net/20.500.12708/210707 ( reposiTUm)

Oguamalam, J., Filzmoser, P., Hron, K., Menafoglio, A., & Radojicic, U. (2024). Robust functional PCA for density data. arXiv. https://doi.org/10.34726/8739 ( reposiTUm)