Daniel Hlubinka
Statistics and Probability · 2016
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 12 citations into it
Whom Daniel Hlubinka trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Ricardo Fraiman (in Statistics and Probability)
- Juan Romo (in Statistics and Probability)
- Sara López-Pintado (in Statistics and Probability)
- Robert Serfling (in Statistics and Probability)
Papers from Daniel Hlubinka's perspective
Ordered by how strongly the researchers Daniel Hlubinka trusts endorse each paper. Same corpus, a different order for every researcher.
- General notions of statistical depth function
- Trimmed means for functional data
- Mathematics and the Picturing of Data
- "Multivariate Dispersion, Central Regions, and Depth": The Lift Zonoid Approach
- On the Concept of Depth for Functional Data
- On the Performance of Some Robust Nonparametric Location Measures Relative to a General Notion of Mu
- Multivariate Functional Halfspace Depth
- Projection-based depth functions and associated medians
- Structural properties and convergence results for contours of sample statistical depth functions
- Robust estimation and classification for functional data via projection-based depth notions (Computational statistics (Zeitschrift))
Their papers
- Integrated depth for functional data: statistical properties and consistency (2016) — 48 citations