runs KALman-Bucy filter over observations matrix Z
for 1-step prediction onto matrix X (X can = Z)
with model order p
V = initial covariance of observation sequence noise
returns model parameter estimation sequence A,
sequence of predicted outcomes y_pred
and error matrix Ey (reshaped) for y and Ea for a
along with inovation prob P = P(y_t | D_t-1) = evidence
標(biāo)簽：
matrix
observations
KALman-Bucy
prediction
上傳時(shí)間：
2016-04-28
上傳用戶(hù)：huannan88
