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| = Covariance Matrices = '''Covariance matrices''' are specially constricted matrices that are useful for various procedures. <<TableOfContents>> ---- == Description == The matrix is usually notated as '''''Σ'''''. Each cell identified by ''(i,j)'' carries a value of the covariance between term ''i'' and term ''j''. The diagonal is therefore each term's variance. If the terms are independently distributed, their covariances are 0, and the matrix is fully specified as the [[LinearAlgebra/Diagonalization|diagonal matrix]] of variances. === Precision Matrices === The inverse of a covariance matrix, notated as '''''Σ'''^-1^'', is called a '''precision matrix'''. ---- CategoryRicottone |
