BVARResult.coefficients#
- BVARResult.coefficients: NDArray[float64]#
(p, k, k)lag stack at the posterior mean.coefficients[l - 1]is \(A_l\), and its[i, j]entry is the response of equationito variablejat lagl, so thatcoefficients[l - 1] @ y[t - l]is the lag-lcontribution to the one-step mean. Each slice is the transpose of the corresponding lag block ofbeta_mean. Empty,(0, k, k), whenorderis zero.