Cholesky decomposition of a hyper inverse Wishart matrix
By A. Roverato. 2000
110 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Statistics and Probability, Signal Processing
View Paper: https://www.semanticscholar.org/paper/b6a3a80a45fdd319cb2c8529dff1dcc6572e492b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
In Statistics and Probability
- M. S. Smith
- Robert Kohn
- Bala Rajaratnam
- Kshitij Khare
- Claudia Czado
- Florian Huber
- Jianqing Fan
- Sylvia Frühwirth-Schnatter
In Signal Processing
Citations in the corpus
- Parsimonious Covariance Matrix Estimation for Longitudinal Data (2002, methodology): “Wermuth (1980) showed that if è corresponds to a decomposable graphical model, then for a perfect ordering of the elements of e, the lower triangle of B has the same pattern of zeros as èƒ1 (see also Roverato 2000).”
- Wishart distributions for decomposable graphs (2007, unknown): “By Gérard Letac and Hélène Massam1”
- Wishart distributions for decomposable covariance graph models (2011, background): “The first part is a direct consequence of a result in [28] and the proof of the second part can be found in [27].”