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September 15, 2009

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"Bootstrapping is a useful technique when you need to make inferences about "unusual" statistics"

Or even "usual" statistics - mean, median, etc. Turns out, bootstrapping is more accurate when done with some of the bias control and acceleration techniques, and, if you believe the Stanford school, is approximately equivalent to Bayesian inference in many cases.

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