Problem while using fmincon function with anonymous function: NOT ENOUGH INPUT ARGUMENTS

Hi there!

I am desperately trying to find the reason why fmincon won't work using the anonymous function created. (I am trying to maximize the log-likelihood function of two variances in the Kalman Filter or in other words to minimize minus-loglikelihood). The values of sigma_h and sigma_e have to be between 0 and 1. And I always get this error message, which is driving me crazy: "NOT ENOUGH INPUT ARGUMENTS". What am I doing wrong?

%%Maximize log-likelioood function

y = IVZ; % time series stock ticker
x = AMG; % time series stock ticker

ff = @(sigma_h,sigma_e) -loglikelihood(y,x,sigma_h,sigma_e);

x0 = [0.0001;0.0001];
A = [1,0;-1,0;0,1;0,-1];
b = [1;0;1;0];

estimation = fmincon(ff,x0,A,b)
Not enough input arguments.

Error in @(sigma_h,sigma_e)-loglikelihood(y,x,sigma_h,sigma_e)

Error in fmincon (line 535)
      initVals.f = feval(funfcn{3},X,varargin{:});

Caused by:
    Failure in initial objective function evaluation. FMINCON cannot continue.

By the way, my loglikelihood function looks as follows:

function [ loglikelihood ] = loglikelihood( y,x,sigma_h,sigma_e )

[S,e] = kalman2(y,x,sigma_h,sigma_e);

H = cumsum(log(S)+e.^2./S);

loglikelihood = -length(S)/2*log(2*pi)-0.5*H(end);

end

Answer 1

[Walter Roberson]

ff = @(sigma_he) -loglikelihood(y,x,sigma_he(1),sigma_he(2));

[Thierry Tinguely]

Thank you so much Walter, it worked. This was extremely helpful!