Artificial Intelligence

    

Understanding When the Correlations Imply the Predictability for the Multiple Gaussian

Authors: Ait-Taleb Nabil

In this paper, we will expose for the Gaussian multiple a theorem relating the predictability to correlations. This theorem is based on another equality which will be also proven. For the correlations to be predictability, the proof will show that the variance-covariance matrix must be located onto the boundary of the positive semi-definite matrix cone with only one zero eigenvalue.

Comments: 7 Pages.

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Submission history

[v1] 2024-11-12 22:32:40
[v2] 2024-11-19 20:43:09
[v3] 2025-04-02 21:21:33

Unique-IP document downloads: 398 times

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