Looking at the implementation of the Monte Carlo Sampling for computing the Fisher Information I see that the sampled probabilities are divided by the square root of the number of trials. Is there a specific reason for this? Why not simply dividing by the number of trials?
Looking at the implementation of the Monte Carlo Sampling for computing the Fisher Information I see that the sampled probabilities are divided by the square root of the number of trials. Is there a specific reason for this? Why not simply dividing by the number of trials?