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Vision Research· 2016Q2

Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data

Heiko H. Schütt, Stefan Harmeling, Jakob H. Macke, Felix A. Wichmann

Short summary

A new Bayesian method using a beta-binomial model accurately estimates psychometric functions from overdispersed experimental data, providing valid credible intervals where standard methods fail.

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Field: Applied Mathematics

Applied MathematicsMathematics