bayesian information criterion
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Hi guys, I am trying to figure out how to combine the input and output data into the ARX model and then apply it into the BIC (Bayesian Information Criterion) formula. Below is the code that I am currently working on:
for i=1:30; %%Set Model Order
data=iddata(output,input,1);
model = arx(data,[8 9 i]);
yp = predict(model,data);
ye = regress(data,yp{1,1}(1:4018,1));
M(i) = var(yp);
BIC(i)=(N+i*(log(N)-1))/(N-i)*log(M(i));
end
But it does not work. It keep on giving me an error something like below:
"The syntax "Data{...}" is not supported. Use the "getexp" command to
extract individual experiments from an IDDATA object."
I did not understand what does that mean. Can someone explain it to me and where do I do wrong on my piece of code?
Thanks in advance.
Jah.
3 个评论
Oleg Komarov
2012-3-20
I deleted the duplicate question.
Provide some sample data to run your code (output, input)
Hjh
2012-3-20
Oleg Komarov
2012-3-20
Yes YOU did, but what about us? Do you think we can imagine your data? Sometimes it is possible, but in this case I think it would help if you gave us some sample data.
回答(1 个)
Rajiv Singh
2012-3-24
0 个投票
What does class(yp) reveal? If it is iddata, you would need to use yp.y(1:4018) to retrieve the predicted response data used in regress command.
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