Accession Number:

AD1084133

Title:

Extended Case Study of Causal Learning within Architecture Research (preliminary results)

Descriptive Note:

Technical Report

Corporate Author:

Carnegie Mellon University Software Engineering Institute Pittsburgh United States

Report Date:

2018-12-31

Pagination or Media Count:

31.0

Abstract:

Regression must be interpreted in a context of a DAG Correlation, hence regression, may be fooled by spurious associationBefore jumping into regression, we need a Directed Acyclic Graph DAG representing our context.We then need to determine which paths are causal and which are spurious.We then must block spurious correlation paths.Lastly, we then conduct regression with the correct set of factors

Subject Categories:

  • Numerical Mathematics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE