Construct · 1 fields · 1 citations

Chernoff information: a standalone construct

One name. One construct. A landmark on the map.

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Chernoffinformation1 CONSTRUCTChernoff informationCHERNOFF · INFORMATION THEORY

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Information theory

measure of separation between two distributions giving the best exponential rate at which the error of a Bayesian test between them falls.

In information theory, Chernoff information refers to measure of separation between two distributions giving the best exponential rate at which the error of a Bayesian test between them falls. This meaning comes from Chernoff (1952) in The Annals of Mathematical Statistics.[1]

Unit
Recovery means
Measured by

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Nearby constructs

Chernoff bound1 fields · 1 citationsanchor · a standalone constructerror4 fields · 8 citationsjingle · one word, four constructsinformation4 fields · 5 citationsjingle · one word, four constructs

References

  1. Chernoff, H. (1952). A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on the sum of Observations. The Annals of Mathematical Statistics, 23(4), 493-507. https://doi.org/10.1214/aoms/1177729330

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