qk_coeff | R Documentation |
\mathcal{C}_k
This function computes the coefficient matrix \mathcal{C}_k
, which
is a matrix of constants that allows us to obtain E[p_{\lambda}(W)W^r]
,
where r+|\lambda|=k
and W \sim W_m^{\beta}(n, \Sigma)
.
qk_coeff(k, alpha = 2)
k |
The order of the |
alpha |
The type of Wishart distribution (
|
\mathcal{C}_k
, a matrix that allows us to obtain E[p_{\lambda}(W)W^r]
,
where r+|\lambda|=k
and W \sim W_m^{\beta}(n, \Sigma)
.
The matrix is represented as a 3-dimensional array where each slice along the third
dimension represents a coefficient matrix of the polynomial in descending powers of n
.
# Example 1:
qk_coeff(2) # For real Wishart distribution with k = 2
# Example 2:
qk_coeff(3, 1) # For complex Wishart distribution with k = 3
# Example 3:
qk_coeff(2, 1/2) # For quaternion Wishart distribution with k = 2
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