Stanislav Nagy

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

Whom Stanislav Nagy trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ricardo Fraiman
  2. Sara López-Pintado
  3. Gerda Claeskens
  4. Karl Mosler
  5. Yijun Zuo
  6. Robert Serfling
  7. Juan Romo
  8. Mia Hubert

Papers from Stanislav Nagy's perspective

Ordered by how strongly the researchers Stanislav Nagy trusts endorse each paper. Same corpus, a different order for every researcher.

  1. General notions of statistical depth function
  2. Trimmed means for functional data
  3. Mathematics and the Picturing of Data
  4. "Multivariate Dispersion, Central Regions, and Depth": The Lift Zonoid Approach
  5. On the Concept of Depth for Functional Data
  6. On the Performance of Some Robust Nonparametric Location Measures Relative to a General Notion of Mu
  7. Multivariate Functional Halfspace Depth
  8. Projection-based depth functions and associated medians
  9. Structural properties and convergence results for contours of sample statistical depth functions
  10. Robust estimation and classification for functional data via projection-based depth notions (Computational statistics (Zeitschrift))

Their papers