A Random Matrix-Theoretic Approach to Handling Singular Covariance Estimates

In many practical situations we would like to estimate the covariance matrix of a set of variables from an insufficient amount of data. More specifically, if we have a set of N independent, identically distributed measurements of an M dimensional random vector the maximum likelihood estimate is the...

Volledige beschrijving

Bibliografische gegevens
Hoofdauteurs: Marzetta, T, Tucci, G, Simon, S
Formaat: Journal article
Taal:English
Gepubliceerd in: 2011

Gelijkaardige items