A likelihood ratio test for separability of covariances
By Matthew W. Mitchell, Marc G. Genton, M. Gumpertz. 2006
119 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/39fc1bffb5f9017181c3f11526150f8c953e81e0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Marc G. Genton
- Jonathan Rougier
- Mikyoung Jun
- Tilmann Gneiting
- Emilio Porcu
- Tatiyana V. Apanasovich
- Moreno Bevilacqua
- Fan Yang
In Global and Planetary Change
In Statistics and Probability
- Marc G. Genton
- Reinaldo Boris Arellano-Valle
- Adelchi Azzalini
- Victor Hugo Lachos
- Yulia V. Marchenko
- Olçay Arslan
- Heleno Bolfarine
- Raphaël Huser
Citations in the corpus
- Separable approximations of space‐time covariance matrices (2007, background): “Mitchell et al. (2005, 2006) proposed a likelihood ratio test for separability in the setting of multivariate repeated measures and suggested its application to space-time data sets that are rich in the time dimension.”