I am reading a paper and trying to understand how the authors estimated the standard errors of a set of parameter estimates $[\delta \ \ \phi \ \ \Sigma]$. Below is the loglikelihood function (sorry I could not typeset): enter image description here where,
Using the trace trick and the rules of differentiation I managed to derive the first order conditions (after reading this). The authors provided the final results, which helped to verify my results. But I have been unable to derive the second order partial derivatives matrix i.e. Hessian. The authors do not derive the Hessian. I want to estimate the standard errors of the parameter estimates using the Hessian.
Will anyone spare a few minutes to help?
If you know any other method for estimating the standard errors of the parameter estimates, do please explain or provide reference.