Dear all,
This question links to earlier ones regarding the writing of user-
defined function for Stata, which is not allowed. Please alert me if I
am barking up the totally wrong tree here in trying to solve my
problem.
The question with which I am dealing is to write a d1 routine for -ml-
estimation. Part of the likelihood function uses the bivariate normal,
which I have calculated using numerical approximation, as I have
done the derivative with respect to the four argument (here x, y,
rho, sigma).
The gradient vector returned by d1debug for my procedure is
disturbingly different from the numerical gradient calculated by the
program, although I am sure of my own derivative calculations. I
believe that this is because I had missed the fact that the derivative
was being calculated for the components of the `b' vector for the
whole sample (as in the r-class subroutine calculating the derivative
was only run once each iteration), and not observation-by-
observation.
Therefore I need to calculate the derivative for each observation to
allow -mlvecsum- to aggregate up to a score function. This requires
an observation-by-observation calculation of the derivative, later
summed. How can I acheive this?
With thanks for any thoughts and advice,
Julian
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