Data depths satisfying the projection property
By Rainer Dyckerhoff. 2004
80 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/0342c8fb01d12c84f5a87a9d28f3433071041c2a
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In Statistics and Probability
- Pavlo Mozharovskyi
- Sara López-Pintado
- Juan Romo
- Karl Mosler
- Probal Chaudhuri
- Anirvan Chakraborty
- Han Lin Shang
- Rob J Hyndman
Citations in the corpus
- On the Concept of Depth for Functional Data (2009, methodology): “Dyckerhoff (2004) also considered desirable properties for multivariate depths. Data depth can be widely applied. For example, Liu and Singh (1993) presented a nonparametric multivariate rank test using a quality depth index and Liu (1995) proposed control charts for multivariate processes using dep”
- Choosing Among Notions of Multivariate Depth Statistics (2020, background): “For example, the halfspace depth and the projection depth satisfy the projection property, as well as the zonoid depth and the Mahalanobis depth; see Dyckerhoff (2004).”