Because the Kalman Filter is an occasion where large numbers of matrices
get together to celebrate their existence, can somebody please clarify
the following for me:
Given starting values for the parameters, and all the rest, the Kalman
filter runs, and it gives the first log-likelihood value series. Then
the MLE takes over, but it immediately finds that
/"matrix is not positive definite"./
*The question is: which matrix is the message referring to?*
Output below:
<<
loglikelihood = -257.320305306
Parameters: -0.98707 0.75974 -2.5877 -0.46878
-0.27031 0.84507
-0.15738 -0.0069893 0.0031079 0.12495 0.68615
0.024908
0.021948 -0.26022 2.1582 -0.15156 3.8203
-0.0063071
0.13977 1.0020 -0.14038 3.3118
0.0056091 0.0085330
0.038741 0.0069463 0.00000 0.00000
-0.40048 -1.4917
49.000 49.000 49.000 49.000
1.0000 1.0000
0.015000 0.10000 -0.80000
Gradients: 0.00000 0.00000 0.00000 0.00000 0.00000
0.00000
0.00000 0.00000 0.00000 0.00000
0.00000 0.00000
0.00000 0.00000 0.00000 0.00000
0.00000 0.00000
0.00000 0.00000 0.00000 0.00000
0.00000 0.00000
0.00000 0.00000 0.00000 0.00000
0.00000 0.00000
0.00000 0.00000 0.00000 0.00000
0.00000 0.00000
0.00000 0.00000 0.00000 (norm 0.00e+000)
Tolerance = 1.81899e-012
Matrix is not positive definite
Error executing script: halting
>
--
Alecos Papadopoulos PhD
Athens University of Economics and Business
web:
alecospapadopoulos.wordpress.com/
skype:alecos.papadopoulos