Local efficiency of a Cramér--von Mises test of independence
By Christian Genest, Jean‐François Quessy, Bruno R'emillard. 2005
53 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Finance, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/2bd061fde172060af1654da78e648ba022a6a59e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Bruno R'emillard
- Christian Genest
- Jean‐François Quessy
- Johana Nešlehová
- Noomen Ben Ghorbal
- Fabrizio Durante
- Dimitris Karlis
- G. Salvadori
In Finance
- Christian Genest
- Johana Nešlehová
- Bruno R'emillard
- Noomen Ben Ghorbal
- Jean‐François Quessy
- Ivan Kojadinovic
- Jun Yan
- Andrew J. Patton
In Management Science and Operations Research
- Christian Genest
- Johana Nešlehová
- Bruno R'emillard
- Noomen Ben Ghorbal
- Jean‐François Quessy
- Aristidis K. Nikoloulopoulos
- Daniel Berg
- Dimitris Karlis
Citations in the corpus
- Asymptotic local efficiency of Cramér–von Mises tests for multivariate independence (2005, methodology): “The following result extends Proposition 1 of Genest, Quessy and Rémillard [12]: Proposition 2.”
- Spearman's footrule and Gini's gamma: a review with complements (2010, methodology): “For additional discussion on rank-based tests of independence and efficiency considerations, see, for example, Genest and Rémillard (2004), Genest and Verret (2005) and Genest et al. (2006).”