Marčenko-Pastur law for Kendall’s tau
We prove that Kendall’s Rank correlation matrix converges to the Marčenko Pastur law, under the assumption that observations are i.i.d random vectors X[subscript 1 ]…,X[subscript n] with components that are independent and absolutely continuous with respect to the Lebesgue measure. This is the first...
Main Authors: | Bandeira, Afonso S., Lodhia, Asad Iqbal, Rigollet, Philippe |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Mathematics |
Format: | Article |
Published: |
Institute of Mathematical Statistics
2018
|
Online Access: | http://hdl.handle.net/1721.1/115158 https://orcid.org/0000-0002-6677-5349 https://orcid.org/0000-0002-0135-7162 |
Similar Items
-
Optimal rates of estimation for multi-reference alignment
by: Bandeira, Afonso, et al.
Published: (2021) -
The Sample Complexity of Multireference Alignment
by: Perry, Amelia, et al.
Published: (2021) -
Path to greener business pastures
by: New Straits Times, Samantha Joseph
Published: (2012) -
Pasture Plant Studies in Indonesia
by: Soedomo, Soedomo, et al.
Published: (1977) -
Measurements of the tau mass and the mass difference of the tau+ and tau- at BABAR
by: Fisher, Peter H., et al.
Published: (2010)