Inverse of Hessian matrix
Posted: Sun Sep 15, 2013 1:55 am
Hello everyone,
Could anyone help me to solve the following problem please?
If the inverse of Hessian matrix (W) , which is estimated directly from the optimization package of Chris Sim, is not positive-definite, how can we calculate its square root to make a jump distribution N(mu, W) for random walk MCMC as suggested in the literature please?
Thank you very much,
Best regards,
A
Could anyone help me to solve the following problem please?
If the inverse of Hessian matrix (W) , which is estimated directly from the optimization package of Chris Sim, is not positive-definite, how can we calculate its square root to make a jump distribution N(mu, W) for random walk MCMC as suggested in the literature please?
Thank you very much,
Best regards,
A