# Question: Prove that the importance sampling IS estimator of Equation 12 26

Prove that the importance sampling (IS) estimator of Equation (12.26) is unbiased. That is, show that

## Relevant Questions

Prove that if A C B then Pr (A) ≤ Pr (B). Consider a modified version of the experiment where we flip a coin until the first occurrence of tails or until we flip the coin four times, whichever comes first. (a) List the possible outcomes of this experiment. How many ...Two six- sided (balanced) dice are thrown. Find the probabilities of each of the following events: (a) Only 2, 3, or 4 appear on both dice; (b) The value of the second roll subtracted from the value of the first roll is 2; ...Show that the variance of the IS estimator of Equation (12.26) is given by Suppose we create a binary ± 1 - valued sequence of length by drawing independent realizations of a Bernoulli random variable to form one period of the sequence. Compute the autocorrelation function of this random Bernoulli ...Post your question