I am minimizing a function that I created. Getting "Not enough input arguments".
This is the main code:
y=data;
y0=0;
global y y0;
theta0=[0.5, 0.5];
[x,fval,exitflag,output,grad,hessian] = fminunc(condlike,theta0)
This is the function file:
function [ f ] = condlike(x )
Conditional likelihood evaluation for AR(1)
global y y0
[m,n]=size(y);
g = normpdf(y(1,1),x(1)*y0,x(2));
for i=1:n-1
g=g+log(normpdf(y(1,i+1),x(1)*y(1,i),x(2)));
end
f=-g;
end

 Akzeptierte Antwort

Rik
Rik am 24 Feb. 2018

0 Stimmen

You forgot to make the first input a function handle, using an @ character. The code below ran without errors for me.
data=rand(10,1);
global y y0;
y=data;
y0=0;
theta0=[0.5, 0.5];
[x,fval,exitflag,output,grad,hessian] = fminunc(@condlike,theta0);
function [ f ] = condlike(x )
%Conditional likelihood evaluation for AR(1)
global y y0
[~,n]=size(y);
g = normpdf(y(1,1),x(1)*y0,x(2));
for i=1:n-1
g=g+log(normpdf(y(1,i+1),x(1)*y(1,i),x(2)));
end
f=-g;
end

3 Kommentare

Joaquin Saldain
Joaquin Saldain am 24 Feb. 2018
Thank you, newbie mistake I guess.
Joaquin Saldain
Joaquin Saldain am 26 Feb. 2018
If I needed to provide an argument to @condlike that is a parameter, so not affected by the minimization, how could I do it?

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