Artificial Intelligence

    

Directed Dependency Graph Obtained from a Correlation Matrix by the Highest Successive Conditionings Method

Authors: Ait-Taleb Nabil

In this paper we will propose a directed dependency graph obtained from a correlation matrix. This graph will include probabilistic causal sub-models for each node modeled by conditionings percentages. The directed dependency graph will be obtained using the highest successive conditionings method with a conditioning percentage value to be exceeded.

Comments: 22 Pages.

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Submission history

[v1] 2021-12-26 21:08:14

Unique-IP document downloads: 262 times

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