Causality analysis is the process of identifying cause-effect relationships among variables. This process is challenging because causal relationships cannot be tested solely based on statistical indicators as additional information is always needed to reduce the ambiguity caused by factors beyond those covered by the statistical test. Traditionally, controlled experiments are carried out to identify causal relationships, but recently there is a growing interest in causality analysis with observational data due to the increasing availability of data and tools.
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- Partial requirement for: Ph.D., Arizona State University, 2019Note typethesis
- Includes bibliographical referencesNote typebibliography
- Field of study: Computer science