 For large values of n, the Poisson bootstrap is an efficient method of generating bootstrapped data sets.When generating a single bootstrap sample, instead of randomly drawing from the sample data with replacement, each data point is assigned a random weight distributed according to the Poisson distribution with formula_65.For large sample data, this will approximate random sampling with replacement.