Practical approaches to causal relationship exploration /
This brief presents four practical methods to effectively explore causal relationships, which are often used for explanation, prediction and decision making in medicine, epidemiology, biology, economics, physics and social sciences. The first two methods apply conditional independence tests for caus...
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| Main Authors: | , , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing Imprint: Springer
2015.
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| Series: | SpringerBriefs in Electrical and Computer Engineering,
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| Subjects: | |
| Online Access: | Click here to view the full text content |
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Table of Contents:
- Introduction
- Local causal discovery with a simple PC algorithm
- A local causal discovery algorithm for high dimensional data
- Causal rule discovery with partial association test
- Causal rule discovery with cohort studies
- Experimental comparison and discussions.