On Maximum Depth and Related Classifiers
By Anil Kumar Ghosh, Probal Chaudhuri. 2005
136 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/7e2534c5f13d87a22b277458666aef109c245a0e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Victor Chernozhukov
- Alfred Galichon
- Taha B. M. J. Ouarda
- Fateh Chebana
- Gerda Claeskens
- Anirvan Chakraborty
- Marc Henry
- Mia Hubert
Citations in the corpus
- Depth and homogeneity in regional flood frequency analysis (2008, background): “Ghosh and Chaudhuri [2005] investigated the use of depth functions in nonparametric discrimination analysis.”
- On data depth in infinite dimensional spaces (2014, methodology): “It has been widely used for various statistical procedures including clustering and classification (see, e.g., Jörnsten 2004; Ghosh and Chaudhuri 2005), construction of depth-based central and outlying regions and depth-based trimming (see Serfling 2006).”
- Multivariate Functional Halfspace Depth (2014, methodology): “Depth functions are regularly used for the classification and clustering of multivariate data, see for example, Ghosh and Chaudhuri (2005), Dutta and Ghosh (2011), Hubert and Van der Veeken (2010) and Jörnsten (2004).”
- Monge-Kantorovich Depth, Quantiles, Ranks and Signs (2014, background): “The appealing properties of halfspace depth are well known and well documented: see Donoho and Gasko [15], Mosler [43], Koshevoy [36], Ghosh and Chaudhuri [20], Cuestas-Albertos and Nieto-Reyes [9], Hassairi and Regaieg [30], to cite only a few.”