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

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  • A. Nanthakumar

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.

Suggested Citation

  • A. Nanthakumar, 2021. "A Diagnostic Test Based on a 9-Component Mixture Gaussian Copula Model," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 10(4), pages 1-1, July.
    • Handle: RePEc:ibn:ijspjl:v:10:y:2021:i:4:p:1
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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