A Diagnostic Test Based on a 9-Component Mixture Gaussian Copula Model

A. Nanthakumar

International Journal of Statistics and Probability, 2021, vol. 10, issue 4, 1

Abstract: 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.

Date: 2021
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