The Ziv–Zakai bound (named after Jacob Ziv and Moshe Zakai) is used in theory of estimations to provide a lower bound on possible-probable error involving some random parameter X {\displaystyle X} from a noisy observation Y {\displaystyle Y} . The bound work by connecting probability of the excess error to the hypothesis testing.
The Ziv–Zakai bound (named after Jacob Ziv and Moshe Zakai) is used in theory of estimations to provide a lower bound on possible-probable error involving some random parameter X {\displaystyle X} from a noisy observation Y {\displaystyle Y} . The bound work by connecting probability of the excess error to the hypothesis testing.
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