Failure of initial objective function
Ältere Kommentare anzeigen
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!
6 Kommentare
Chris
am 15 Nov. 2022
Try calling
Posterior(data,idx,param0)
Do you get a valid answer?
Joshua Scott
am 15 Nov. 2022
Matt J
am 15 Nov. 2022
Try calling it within your script, before the optimization is launched.
Joshua Scott
am 15 Nov. 2022
Torsten
am 15 Nov. 2022
You should define "param0" in the same way as you extract the fitting parameters from "param" in "Posterior".
Joshua Scott
am 15 Nov. 2022
Bearbeitet: Joshua Scott
am 15 Nov. 2022
Antworten (1)
Then set some outputs in the function "Posterior" to see where the NaN operation occurs.
1 Kommentar
Joshua Scott
am 16 Nov. 2022
Verschoben: Matt J
am 16 Nov. 2022
Kategorien
Mehr zu Graphics Performance finden Sie in Hilfe-Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!