Classes
Publications
- Integrated shape-sensitive functional metrics2022 | Faculty of Mathematics and Physics
- Scalar-on-function local linear regression and beyond2022 | Faculty of Mathematics and Physics
- Flexible integrated functional depths2021 | Faculty of Mathematics and Physics
- Data depth for measurable noisy random functions2019 | Faculty of Mathematics and Physics
- On a general definition of depth for functional data2017 | Faculty of Mathematics and Physics
- Law of large numbers for discretely observed random functions2017 | Faculty of Mathematics and Physics
- Integrated depth for measurable functions and sets2017 | Faculty of Mathematics and Physics
- An overview of consistency results for depth functionals2017 | Faculty of Mathematics and Physics
- Depth-Based Recognition of Shape Outlying Functions2017 | Faculty of Mathematics and Physics
- Integrated depth for functional data: statistical properties and consistency2016 | Faculty of Mathematics and Physics
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