SOLVED: Rejection Sampling: Imagine YOu wanted to do rejection sampling (instead of inverse transform sampling) to sample from the density f in Question (1). For each of the following candidate densities, explain why it is Or isn t a good candidate (or somewhere in the middle). You don't need to do any R here: Hint: Think about the role of the support of the densities and their decay rate; that is; 'heavier Or 'lighter' tails (heavy tails are those that decay slowly; while light tails are those

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SOLVED: Program in Python the inverse transform method to generate a random sample from a Binomial(n,p) random variable. Generate 3 samples of m = 500 values with the parameters:n = 10, p = 0.6n = 15, p = 0.4n = 30, p = 0.2

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