Hi
is it normal that both the hall1estimateML.mod & hall1estimateBayes.mod are only giving this output in a loop:
Improvement on iteration 1000 = NaN
f at the beginning of new iteration, NaN
Predicted improvement: -0.000000000
lambda = 1; f = NaN
Norm of dx 0
bad gradient ------------------------
bad gradient ------------------------
Cliff. Perturbing search direction.
Predicted improvement: -0.000000000
lambda = 1; f = NaN
Norm of dx 0
ih = 1
Improvement on iteration 1001 = NaN
The bayesian estimation gives the following message:
MH: Multiple chains mode.
MH: Searching for initial values…
MH: I couldn’t get a valid initial value in 100 trials.
MH: You should Reduce mh_init_scale…
MH: Parameter mh_init_scale is equal to 0.400000.
MH: Enter a new value…
and the maximum likelihood estimation just remains on the initial point.
I am refering to the files as they were on the website on april 13 2008.
Thanks!
Sébastien Mc Mahon