- Coordinatewise Characteristics of Functional Data2013 | Faculty of Mathematics and Physics
- On a general definition of depth for functional data2017 | Faculty of Mathematics and Physics
- Statistical Depth for Functional DataPublication without faculty affiliation
- Special Issue on Functional Data Analysis and related fields2022 | Faculty of Mathematics and Physics
- Sequential stability procedures for functional data setup2011 | Faculty of Mathematics and Physics
- Weak convergence of discretely observed functional data with applications2016 | Faculty of Mathematics and Physics
- Testing serial independence with functional data2021 | Faculty of Mathematics and Physics
- Consistency of non-integrated depths for functional data2015 | Faculty of Mathematics and Physics
- Asymptotics, finite-sample comparisons and applications for two-sample tests with functional data2019 | Faculty of Mathematics and Physics
- Integrated depth for functional data: statistical properties and consistency2016 | Faculty of Mathematics and Physics
- On functional data analysis and related topics2022 | Faculty of Mathematics and Physics
- Test of independence for functional data2013 | Faculty of Mathematics and Physics
- Techniques from functional data analysis adaptable for spatial point patterns2021 | Faculty of Mathematics and Physics
- Similarities within a multi-model ensemble: functional data analysis framework2019 | Faculty of Mathematics and Physics
- An overview of consistency results for depth functionals2017 | Faculty of Mathematics and Physics
- On the Consistency of Depth Functionals2014 | Faculty of Mathematics and Physics
- Depth for Vector-Valued Functions2013 | Faculty of Mathematics and Physics
- Functional Two-sample Tests Based on Empirical Characteristic Functionals2020 | Faculty of Mathematics and Physics
- Integrated depth for measurable functions and sets2017 | Faculty of Mathematics and Physics
- Law of large numbers for discretely observed random functions2017 | Faculty of Mathematics and Physics
- DEPENDENT FUNCTIONAL LINEAR MODELS WITH APPLICATIONS TO MONITORING STRUCTURAL CHANGE2014 | Faculty of Mathematics and Physics
- Integrated data depth for smooth functions and its application in supervised classification2015 | Faculty of Mathematics and Physics
- Robust monitoring of CAPM portfolio betas II2014 | Faculty of Mathematics and Physics
- Fourier approach to goodness-of-fit tests for Gaussian random processes2023 | Faculty of Mathematics and Physics
- Nonparametric Classification of Noisy Functions2012 | Faculty of Mathematics and Physics
- Advanced Statistical Analysis of 3D Kinect Data: Mimetic Muscle Rehabilitation Following Head and Neck Surgeries Causing Facial Paresis2021 | Third Faculty of Medicine
- Integrated shape-sensitive functional metrics2022 | Faculty of Mathematics and Physics
- JSON Functionally2020 | Faculty of Mathematics and Physics
- Data depth for measurable noisy random functions2019 | Faculty of Mathematics and Physics
- Flexible integrated functional depths2021 | Faculty of Mathematics and Physics