Regularized Hypothesis Testing in Random Fields with Applications to Neuroimaging.

The task of determining for which elements of a random field (e.g., pixels in an image) a certain null hypothesis may be rejected is a relevant problem in several scientific areas. In the current contribution, we introduce a new method for performing this task, the regularized hypothesis testing (RH...

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Detalles Bibliográficos

Publicado en:	Revista Mexicana de Ingeniería Biomédica Vol. 41; no. 2; pp. 22 - 40
Autores principales:	Dalmau-Cedeño, Oscar S., Alvarado-Carrillo, Dora E., Luis Marroquín, José
Formato:	Artículo
Publicado:	Sociedad Mexicana de Ingenieria Biomedica, A.C. May-Ago2020
Materias:	Statistical hypothesis testing Functional magnetic resonance imaging Noise Brain imaging Bayesian analysis
Acceso en línea:	Ver este registro en EBSCOhost