Why sigma is not symmetric positive semi-definite matrix?
10 views (last 30 days)
Show older comments
Hey everybody, I am runing the estimation of the model using Bayesian estimation, The problem is that the error is always about the sigma matrix, I tried another set of data but the same problem arises:
??? Error using ==> mvnrnd at 118
SIGMA must be a symmetric positive semi-definite matrix.
Error in ==> encompassing_estimation at 99
x = mvnrnd(zeros(1,npars),V,nsim);
Error in ==> encompassing_estimation_run at 31
[out,parnew,par,VarCov] = encompassing_estimation(nsim,newV,DATA); % To be used in the first
or final iterations
I checked for the sigma matrix which is "V" the inverse of the Hessian matrix is squared symmetric matrix.
Is there any solution?
0 Comments
Accepted Answer
Walter Roberson
on 22 Jul 2017
In R2016b, the eig algorithms changed, which made a difference for determining whether matrices were symmetric positive definite. The changes affected the boundary conditions, matrices that were on the verge of being positive definite or not positive definite to within round-off error during the computation (the abstract indefinite precision calculation might show the matrix as clearly positive definite.)
Some of what has changed with the eig algorithm has just been in updating to newer versions of the fast multi-threaded libraries (e.g., LINPACK) with newer optimization.
It is always risky to take the numeric inverse of a matrix: round-off problems can easily dominate.
0 Comments
More Answers (1)
Houda
on 22 Jul 2017
2 Comments
Walter Roberson
on 22 Jul 2017
R2016b is more sensitive, more likely to give that problem.
Have a look at rcond(V) and you will see it is about 8.27510456108118e-12 which is nearly 0, indicating that the matrix is quite badly conditioned, nearly singular.
See Also
Categories
Find more on Dimensionality Reduction and Feature Extraction in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!