Bayesian Inference for Correlations in the Presence of Measurement Error and Estimation Uncertainty

Whenever parameter estimates are uncertain or observations are contaminated by measurement error, the Pearson correlation coefficient can severely underestimate the true strength of an association. Various approaches exist for inferring the correlation in the presence of estimation uncertainty and m...

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Detalhes bibliográficos

Principais autores:	Dora Matzke, Alexander Ly, Ravi Selker, Wouter D. Weeda, Benjamin Scheibehenne, Michael D. Lee, Eric-Jan Wagenmakers
Formato:	Artigo
Idioma:	Inglês
Publicado em:	University of California Press 2017-10-01
coleção:	Collabra: Psychology
Assuntos:	Attenuation of the correlation Bayesian inference cumulative prospect theory diffusion model estimation uncertainty measurement error
Acesso em linha:	https://www.collabra.org/articles/78
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