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Sharp entropy bounds for discrete statistical simulation

✍ Scribed by Dan Romik


Book ID
104302955
Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
115 KB
Volume
42
Category
Article
ISSN
0167-7152

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✦ Synopsis


We deΓΏne a general procedure for simulating a given discrete distribution using a sequence of i.i.d. random variables. This procedure is used to prove that a natural information-theoretic bound on the number of samples required to simulate the distribution can be arbitrarily approached in a limiting sense.


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