Modeling Sampling Distributions of Test Statistics Using Autograd and Neural Networks

Autograd can be used to take the derivative of neural network models of cumulative distribution functions (cdfs) to obtain approximations of the corresponding probability density functions (pdfs) of test statistics, which is useful for simulation-based frequentist inference.