Open AccessA Diagnostic Test Based on a 9-Component Mixture Gaussian Copula Model
Author(s) -
A. Nanthakumar
Publication year - 2021
Publication title -
international journal of statistics and probability
Language(s) - English
Resource type - Journals
eISSN - 1927-7040
pISSN - 1927-7032
DOI - 10.5539/ijsp.v10n4p1
Subject(s) - copula (linguistics) , receiver operating characteristic , markov chain , gaussian , mathematics , mixture model , diagnostic test , statistics , computer science , artificial intelligence , pattern recognition (psychology) , econometrics , medicine , pediatrics , physics , quantum mechanics
Here in this paper, we investigate the performance of a diagnostic test based on a mixture Gaussian Copula which incorporates a Markov Chain. Suppose that in the context of an infectious disease, there are three states; Susceptible (S), Infected (I), or Recovered (R). We compare the performance of this approach with the ROC (Receiver Operating Characteristic) Curve which is usually used in diagnostic studies.