Failure of initial objective function
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I am getting the dreaded "Failure in initial objective function evaluation. FMINCON cannot continue." Notification.
I am trying to use fmincon, but also using a simple loop within the function to see how parameters change over time.
Here is my code:
```
%Define Function- fmincon%
opts = optimset ('Display','iter','TolX',2e-9,'TolFun',2e-9,'MaxIter',100000,'MaxFunEvals',10000000,'FunValCheck','on');
[param,fval,exitflag,output,lambda,grad,hessian] = fmincon(@(param) Posterior(data,idx,param),param0,A,b,Aeq,beq,lb,ub,nonlcon,opts);
err = sqrt(diag(inv(hessian)));
%Run posterior function that is solved for Ep1.5%
k = 1; %number of predictors
function LL = Posterior(data,idx,param)
%n = 13; %number of obs: simple case
n = max(data.AgeMinus1); %Will update to go by ID
% define components of the function:
%EpPrior0 = param(idx.EpPrior);
Tau0 =param(idx.Tau); %Prior Variance/precision
Sigma_sq0 = param(idx.Sigma_sq); %Variance of
ShockInfo0 =param(idx.ShockInfo); % n = how informative the observation was
% Define vector to hold the shocks:
Shock = zeros(n, 1);
% Define a vector to hold the precision of the prior:
Tau = zeros(n+1,1);
Tau(1,:) = Tau0(1,:); % Variance of prior going into period 1
for i=1:n % Start the sampling
Shock(i,:) = data.Ep2(i,:) + (data.Ep2(i,:)- data.Ep1(i,:)).*(Sigma_sq0(i,:)./(ShockInfo0(i,:).*Tau(i,:))); %Ep 1.5
Tau(i+1,:) = ((Sigma_sq0(i,:)./ShockInfo0(i,:)).*Tau(i,:))./(Tau(i,:) + (Sigma_sq0(i,:)./ShockInfo0(i,:)));
end
LL = -sum(log(normpdf(Shock, 0, Sigma_sq0)));
end
```
How can I fix this error?
Thank you in advance!
댓글 수: 6
Chris
2022년 11월 15일
Try calling
Posterior(data,idx,param0)
Do you get a valid answer?
Joshua Scott
2022년 11월 15일
Matt J
2022년 11월 15일
Try calling it within your script, before the optimization is launched.
Joshua Scott
2022년 11월 15일
Torsten
2022년 11월 15일
You should define "param0" in the same way as you extract the fitting parameters from "param" in "Posterior".
Joshua Scott
2022년 11월 15일
편집: Joshua Scott
2022년 11월 15일
답변 (1개)
Then set some outputs in the function "Posterior" to see where the NaN operation occurs.
댓글 수: 1
Joshua Scott
2022년 11월 16일
이동: Matt J
2022년 11월 16일
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