Monte Carlo Method, Python, Numerical Integration, Data Science.
the inverse function of g And the variance of f used to compute error of the estimator becomes: Variance of the estimator with Importance Sampling Back to our use case with the beta(x,50,50) distribution function, it seems that using a normal distribution centered at 0.5 as the g function could