Kramlinger, P., Schneider, U., & Krivobokova, T. (2023). Uniformly valid inference based on the Lasso in linear mixed models. Journal of Multivariate Analysis, 198, Article 105230. https://doi.org/10.1016/j.jmva.2023.105230 ( reposiTUm)

Schneider, U., & Tardivel, P. (2022). The Geometry of Uniqueness, Sparsity and Clustering in Penalized Estimation. Journal of Machine Learning Research, 23, 1–36. http://hdl.handle.net/20.500.12708/136337 ( reposiTUm)

Amann, N. D., & Schneider, U. (2021). Uniform Asymptotics and Confidence Regions Based on the Adaptive Lasso with Partially Consistent Tuning. Econometric Theory, 1–26. https://doi.org/10.1017/s0266466621000128 ( reposiTUm)

Ewald, K., & Schneider, U. (2020). On the distribution, model selection properties and uniqueness of the Lasso estimator in low and high dimensions. Electronic Journal of Statistics, 14(1). https://doi.org/10.1214/20-ejs1687 ( reposiTUm)

Ewald, K., & Schneider, U. (2018). Uniformly Valid Confidence Sets Based on the Lasso. Electronic Journal of Statistics, 12(1), 1358–1387. https://doi.org/10.1214/18-ejs1425 ( reposiTUm)

Schneider, U. (2016). Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Models. Econometric Reviews, 35(8–10), 1412–1455. https://doi.org/10.1080/07474938.2015.1092798 ( reposiTUm)

Schneider, U., & Wagner, M. (2012). Catching Growth Determinants with the Adaptive Lasso. German Economic Review, 13(1), 71–85. https://doi.org/10.1111/j.1468-0475.2011.00541.x ( reposiTUm)

Pötscher, B. M., & Schneider, U. (2011). Distributional results for thresholding estimators in high-dimensional Gaussian regression models. Electronic Journal of Statistics, 5(none). https://doi.org/10.1214/11-ejs659 ( reposiTUm)

Schneider, U., Tardivel, P., Skalski, T., & Graczyk, P. (2024). A unified framework for pattern recovery in penalized estimation and its geometry. In PROBASTAT 2024. The Eighth International Conference on Mathematical Statistics : Abstracts (pp. 45–45). http://hdl.handle.net/20.500.12708/210177 ( reposiTUm)

Graczyk, P., Schneider, U., Skalski, T., & Tardivel, P. (2023). Pattern Recovery in Penalized Estimation and its Geometry. In European Meeting of Statisticians 2023 : Book of Abstracts (pp. 223–223). http://hdl.handle.net/20.500.12708/189992 ( reposiTUm)

Aigner, E., Görg, C., Madner, V., Muhar, A., Novy, A., Posch, A., Steininger, K., Bohunovsky, L., Essletzbichler, J., Fischer, K., Frey, H., Haas, W., Haderer, M., Hofbauer, J., Hollaus, B., Jany, A., Keller, L., Krisch, A., Kubeczko, K., … Wieser, H. (2023). Summary for Policymakers. In APCC Special Report: Strukturen für ein klimafreundliches Leben (pp. 19–33). Springer Spektrum. https://doi.org/10.1007/978-3-662-66497-1_2 ( reposiTUm)

Aigner, E., Görg, C., Madner, V., Muhar, A., Posch, A., Steininger, K. W., Bohunovsky, L., Essletzbichler, J., Fischer, K., Frey, H., Haas, W., Haderer, M., Hofbauer, J., Hollaus, B., Jany, A., Keller, L., Krisch, A., Kubeczko, K., Miess, M., … Wieser, H. (2023). Summary for Policymakers. In C. Görg, V. Madner, A. Muhar, A. Novy, A. Posch, K. W. Steininger, & E. Aigner (Eds.), APCC Special Report: Strukturen für ein klimafreundliches Leben (pp. 19–33). Springer Spektrum. https://doi.org/10.1007/978-3-662-66497-1_2 ( reposiTUm)

Aigner, E., Görg, C., Madner, V., Muhar, A., Novy, A., Posch, A., Steininger, K. W., Bohunovsky, L., Essletzbichler, J., Fischer, K., Frey, H., Haas, W., Haderer, M., Hofbauer, J., Hollaus, B., Jany, A., Keller, L., Krisch, A., Kubeczko, K., … Wieser, H. (2023). Zusammenfassung für Entscheidungstragende. In C. Görg, V. Madner, & A. Muhar (Eds.), APCC Special Report: Strukturen für ein klimafreundliches Leben (pp. 1–17). Springer Spektrum. https://doi.org/10.1007/978-3-662-66497-1_1 ( reposiTUm)

Schneider, U. (2024). A Unified Framework for Pattern Recovery in Penalized Estimation and its Geometry [Presentation]. Statistics and Learning Theory in the Era of Artificial Intelligence, Oberwolfach, Germany. http://hdl.handle.net/20.500.12708/206965 ( reposiTUm)

Schneider, U. (2023, November 15). A Unified Framework for Pattern Recovery in Penalized Estimation and its Geometry [Presentation]. Advanced Statistical Seminar 2023, Prag, Czechia. http://hdl.handle.net/20.500.12708/189853 ( reposiTUm)

Schneider, U. (2023, March 31). Uniformly Valid Inference Based on the Lasso in Linear Mixed Models [Presentation]. Tagung des Ausschuss für Ökonometrie 2023, Bibow, Germany. ( reposiTUm)

Schneider, U. (2023, May 10). Pattern Recovery in Penalized Estimation and its Geometry [Conference Presentation]. Optimization and Control in Burgundy 2023, Dijon, France. ( reposiTUm)

Schneider, U. (2022, October 27). The Geometry of Uniqueness and Pattern Detection in Lasso-type Estimation [Presentation]. Econometrics Seminar, Zürich, Switzerland. ( reposiTUm)

Schneider, U. (2022, June 30). The Geometry of Uniqueness and Pattern Detection in Penalized and Thresholded Estimation [Conference Presentation]. Mathematical Methods of Modern Statistics 3, Luminy, France. ( reposiTUm)

Schneider, U. (2022, June 20). On the Geometry of Uniqueness and Model Selection of LASSO, SLOPE and Related Estimators [Conference Presentation]. ISNPS 2022, Paphos, Cyprus. ( reposiTUm)

Schneider, U., & Tradivel, P. (2021). On the Geometry of Uniqueness, Sparsity and Clustering of LASSO, SLOPE and Related Estimators. Summer Term 2021, Wien WU, Austria. http://hdl.handle.net/20.500.12708/123371 ( reposiTUm)

Schneider, U., & Tradivel, P. (2021). The Geometry of Model Selection and Uniqueness of Lasso-Type Methods. Forschungsseminar Angewandte Statistik, Linz, Austria. http://hdl.handle.net/20.500.12708/123373 ( reposiTUm)

Schneider, U., & Tradivel, P. (2021). The Geometry of Model Selection and Uniqueness of Lasso-Type Methods. HCM Workshop: "High Dimensionality and Data Analysis, Bonn, Germany. http://hdl.handle.net/20.500.12708/123372 ( reposiTUm)

Schneider, U. (2020). Uniformly valid confidence sets based on the Lasso in low dimensions. Fourth Workshop on Higher-Order Asymptotics and Post-Selection Inference, Washington University at St. Louis, St. Louis, United States of America (the). http://hdl.handle.net/20.500.12708/122990 ( reposiTUm)

Schneider, U. (2019). On the model selection properties and uniqueness of the Lasso and related estimators. Seminarvortrag, University of Wroclaw, Department of Mathematics, Wroclaw, Poland. http://hdl.handle.net/20.500.12708/122991 ( reposiTUm)

Schneider, U. (2019). On the model selection properties and geometry of the Lasso. Seminarvortrag Universität Bern Institut für Volkswirtschaftslehre, Switzerland. http://hdl.handle.net/20.500.12708/122985 ( reposiTUm)

Schneider, U. (2018). On the Model Selection Properties and the Geometry of the Lasso. Research in Mathematics at TU Graz, Graz, Austria. http://hdl.handle.net/20.500.12708/122611 ( reposiTUm)

Schneider, U. (2018). On the Model Selection Properties of the Lasso. Workshop Model Selection, Regularization and Inference, Wien, Austria. http://hdl.handle.net/20.500.12708/122609 ( reposiTUm)

Schneider, U. (2018). On the Model Selection Properties and Uniqueness of the Lasso. 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018), Pisa, Italy. http://hdl.handle.net/20.500.12708/122612 ( reposiTUm)

Schneider, U. (2018). On the Model Selection Properties of the Lasso. RSS 2018 Conference, Cardiff, United Kingdom of Great Britain and Northern Ireland (the). http://hdl.handle.net/20.500.12708/122610 ( reposiTUm)

Schneider, U. (2018). On the Model Selection Properties of the Lasso. ATMS Workshop on Multi- and high-dimensional statistics- Copulas - Survival analysis - Model selection, Leuven, Belgium. http://hdl.handle.net/20.500.12708/122608 ( reposiTUm)

Schneider, U. (2017). On the Distribution and Model Selection Properties of the Lasso Estimator in Low and High Dimensions. 11th International Conference on Computational and Finance Econometrics (CFE2017), London, United Kingdom of Great Britain and Northern Ireland (the). http://hdl.handle.net/20.500.12708/121892 ( reposiTUm)

Schneider, U. (2017). Statistical Inference after Lasso estimation. Research Seminar in Mathematical Econometrics, Stochastics and Finance, Mannheim, Germany. http://hdl.handle.net/20.500.12708/122010 ( reposiTUm)

Schneider, U. (2017). On the Distribution and Model Selection Properties of the Lasso Estimator in Low and High Dimensions. 31st European Meeting of Statisticians (EMS), Helsinki, Finland. http://hdl.handle.net/20.500.12708/122201 ( reposiTUm)

Schneider, U. (2017). Statistische Inferenz nach Lasso-Schätzung. Ökonometrischer Ausschuss vom Verein für Socialpolitik, Rauischholzhausen, Germany. http://hdl.handle.net/20.500.12708/122200 ( reposiTUm)

Schneider, U. (2017). On the Distribution and Model Selection Properties of the Lasso Estimator in Low and High Dimensions. 70th European Meeting of the Econometric Society (ESEM), Lissabon, Portugal. http://hdl.handle.net/20.500.12708/122084 ( reposiTUm)

Schneider, U. (2016). Exact Post-Model Selection Inference: Uniformly Valid Confidence Sets Based on the Lasso. Two-day workshop on Post-Model Selection, Leuven, Belgium. http://hdl.handle.net/20.500.12708/121589 ( reposiTUm)

Schneider, U. (2016). Exact Post-Model Selection Inference: Uniformly Valid Confidence Regions Based on the Lasso. 12th German Probability and Statistics Days, Bochum, Germany. http://hdl.handle.net/20.500.12708/121590 ( reposiTUm)

Schneider, U. (2016). Confidence Sets Based on the Lasso Estimator. Eea - Esem, Genf, Switzerland. http://hdl.handle.net/20.500.12708/121617 ( reposiTUm)

Schneider, U. (2016). Exact Post-Model Selection Inference: Confidence Sets Based on the Lasso. CFE-CMStatistics, Sevilla, EU. http://hdl.handle.net/20.500.12708/121618 ( reposiTUm)

Schneider, U. (2015). Verteilungseigenschaften von Lasso-artigen Schätzern. Habilitationskolloquium Fakultät für Mathematik und Geoinformation, TU Wien, Wien, Austria. http://hdl.handle.net/20.500.12708/121235 ( reposiTUm)

Schneider, U. (2015). Statistical Inference after Lasso-Type Estimator. Kolloquium des SFB, Fakultät für Statistik, TU Dortmund, Dortmund, Germany. http://hdl.handle.net/20.500.12708/121238 ( reposiTUm)

Schneider, U. (2015). Inference based on Lasso-Type Estimators. Seminar, Department of Statistics, Uppsala University, Uppsala, Sweden. http://hdl.handle.net/20.500.12708/121237 ( reposiTUm)

Schneider, U. (2015). Penalisierte Kleinste-Quadrate Schätzer: Verteilungseigenschaften und Inferenz. Seminar, Fakultät für Wirtschaftswissenschaften, Universität Bielefeld, Bielefeld, Germany. http://hdl.handle.net/20.500.12708/121234 ( reposiTUm)

Schneider, U. (2015). Confidence Sets Based on the Lasso Estimator. European Meeting of Statisticians, Oslo, Norway. http://hdl.handle.net/20.500.12708/121236 ( reposiTUm)

Schneider, U. (2014). On distributional properties of Lasso-type estimators. Forschungsseminar Mathematische Statistik, Humboldt Universit ät Berlin, Berlin, Germany. http://hdl.handle.net/20.500.12708/121028 ( reposiTUm)

Schneider, U. (2014). Confidence sets based on thresholding estimators in high-dimensional Gaussian regression. ISNPS (International Society of NonParametric Statistics) Conference, Cadiz, Spain. http://hdl.handle.net/20.500.12708/121019 ( reposiTUm)

Schneider, U. (2014). Confidence sets based on thresholding estimators in high-dimensional Gaussian regression. ESEM (68th European Meeting of the Econometric Society), Toulouse, France. http://hdl.handle.net/20.500.12708/121027 ( reposiTUm)

Schneider, U. (2014). Confidence sets based on lasso-type estimators. Seminar am Laboratoire de Sciences du Climat et de l’Environnement (LSCE), Paris, France. http://hdl.handle.net/20.500.12708/121017 ( reposiTUm)

Schneider, U. (2013). Distributional Results for Thresholding Estimators in High-Dimensional Gaussian Regression. The 8th International Conference on Multiple Comparison Procedures (MCP 2013), Southampton, United Kingdom, EU. http://hdl.handle.net/20.500.12708/120443 ( reposiTUm)

Pötscher, B. M., & Schneider, U. (2013). Distributional Results for Thresholding Estimators in High-Dimensional Guassian Regression Models. 28th Annual Congress of the European Economic Association & 67th European Meeting of the Econometric Society, Goteborg, Schweden, EU. http://hdl.handle.net/20.500.12708/120452 ( reposiTUm)

Pötscher, B. M., & Schneider, U. (2013). Distributional Results for Thresholding Estimators in High-Dimensional Gaussian Regression Models. 29th European Meeting of Statisticians, Budapest, Ungarn, EU. http://hdl.handle.net/20.500.12708/120451 ( reposiTUm)

Schneider, U. (2013). Uncertainty in penalized least squares estimation. Institut für Mathematik der Universität Graz, Graz, Austria, Austria. http://hdl.handle.net/20.500.12708/120453 ( reposiTUm)

Schneider, U. (2013). Confidence sets based on Lasso-type estimators. Final Colloquium of the Research Training Group 1023, Göttingen, Deutschland, EU. http://hdl.handle.net/20.500.12708/120454 ( reposiTUm)

Schneider, U., & Pötscher, B. M. (2012). Distributional Results for Thresholding Estimators in High-Dimensional Gaussian Regression. Workshop Statistical Inference in Complex/High-Dimensional Problems, University of Vienna, Austria. http://hdl.handle.net/20.500.12708/120173 ( reposiTUm)

Schneider, U. (2012). Distributional Properties of Lasso-Type Estimators. Research Seminar in Economics, Department of Economics, Karl-Franzens-Univeristät Graz, Austria. http://hdl.handle.net/20.500.12708/120172 ( reposiTUm)

Schneider, U., & Pötscher, B. M. (2012). Distributional results for thresholding estimators in. 8th World Congress in Probability and Statistics, Istanbul, Non-EU. http://hdl.handle.net/20.500.12708/120174 ( reposiTUm)

Pötscher, B. M., & Schneider, U. (2011). Distributional Properties of Lasso-Type and Thresholding Estimators. Econometrics Research Seminar, IHS, Wien, Austria. http://hdl.handle.net/20.500.12708/119990 ( reposiTUm)

Schneider, U. (2014). Distributional properties of Lasso-type estimators [Professorial Dissertation, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/158751 ( reposiTUm)