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Accession Number:
AD1084133
Title:
Extended Case Study of Causal Learning within Architecture Research (preliminary results)
Corporate Author:
Carnegie Mellon University Software Engineering Institute Pittsburgh United States
Report Date:
2018-12-31
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
Descriptive Note:
Technical Report
Pages:
0031
Distribution Statement:
Approved For Public Release;
File Size:
1.21MB
