This note suggests that expressing a distribution function as a mixture of suitably chosen distribution functions leads to improved methods for generating random variables in a computer. The idea is ...
We show that supx|fn(x)-f(x)|→ 0 completely as n → ∞, where f is a uniformly continuous density on Rd, X1,...,Xn are independent random vectors with common density f, and fn is the variable kernel ...
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