Latest revision as of 00:24, 20 January 2026

Min-entropy

A lower bound on the entropy of a random variable. The precise formulation for min-entropy is \((-\log_{2} \max p_{i})\) for a discrete distribution having probabilities \(p_{1},...,p_{k}\). Min-entropy is often used as a measure of the unpredictability of a random variable.

Source: NIST IR 8427 | Category:

Revision as of 01:42, 15 January 2026 view source imported>Unknown user No edit summary ← Older edit		Latest revision as of 00:24, 20 January 2026 view source imported>Unknown user No edit summary
(One intermediate revision by the same user not shown)
(No difference)