| Class | Description |
|---|---|
| Covariance |
Covariance is a measure of how much two variables change together.
|
| LedoitWolf2004 |
To estimate the covariance matrix, Ledoit and Wolf (2004) suggests using the
matrix obtained from the sample covariance matrix through a transformation
called shrinkage.
|
| LedoitWolf2004.Result |
The estimator and some intermediate values computed by the algorithm.
|
| SampleCovariance |
This class computes the Covariance matrix of a matrix, where the (i, j) entry is the
covariance of the i-th column and j-th column of the matrix.
|
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