Construct · 1 fields · 1 citations

Dawid-Skene model: a standalone construct

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Data science

a latent class model that estimates each rater's error rates and the true labels together from multiple noisy ratings using the EM algorithm.

In data science, Dawid-Skene model refers to a latent class model that estimates each rater's error rates and the true labels together from multiple noisy ratings using the EM algorithm. This meaning comes from Dawid (1979) in Applied Statistics.[1]

Unit
Recovery means
Measured by

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Nearby constructs

class3 fields · 3 citationsjingle · one word, three constructs error4 fields · 8 citationsjingle · one word, four constructs expectation-maximization algorithm1 fields · 1 citationsanchor · a standalone construct

References

Dawid, A. P., & Skene, A. M. (1979). Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm. Applied Statistics, 28(1), 20. https://doi.org/10.2307/2346806

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