Research Profile
My research lies at the intersection of econometrics, multivariate statistics, and computational data analysis. I develop scalable and interpretable statistical and econometrics methods for high-dimensional data, focusing on covariance and correlation structures, dimensionality reduction, and variable clustering.
Publications
Bauer, J. O. (2026a). Beyond regularization: inherently sparse principal component analysis. Statistics and Computing, 36, 140. doi:10.1007/s11222-026-10872-2
Bauer, J. O. (2026b). Revelle's beta: The wait is over–computation becomes possible. Psychometrika (in press). doi:10.1017/psy.2026.10124
Bauer, J. O. (2025). High-dimensional block diagonal covariance structure detection using singular vectors. Journal of Computational and Graphical Statistics, 34(3). doi:10.1080/10618600.2024.2422985
Bauer, J. O., Drabant, B. (2023). Regression based thresholds in principal loading analysis. Journal of Multivariate Analysis, 193. doi:10.1016/j.jmva.2022.105103
Frongia, G., Weitz, D., Bauer, J. O., Probst, P., Steffens, F., Pfisterer, D., Mehrabi, A., Günther, P. (2022). Quality of Life Improves Following Laparoscopic Hemifundoplication in Neurologically Non-Impaired Children with Gastroesophageal Reflux Disease: A Propensity Score-Matched Analysis. Journal of investigative surgery, 35(2), 278–283. doi:10.1080/08941939.2020.1850943
Bauer, J. O., Drabant, B. (2021). Principal loading analysis. Journal of Multivariate Analysis, 184. doi:10.1016/j.jmva.2021.104754
Manuscripts under Review
Battagliola, M. L., Bauer, J. O. (202X). Localized functional principal component analysis based on covariance structure. Submitted. arXiv:2506.02836. Supplementary material is available here.
Bauer, J. O. (202X). Divisive hierarchical clustering using block diagonal matrix approximations. Submitted. arXiv:2308.06820. Supplementary material available here.
Conference Proceedings
Bauer, J. O. (2021). Correlation based principal loading analysis. Proceedings of the 2021 4th International Conference on Mathematics and Statistics. doi:10.1145/3475827.3475832