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...
Κύριοι συγγραφείς: | , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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Σειρά: | SpringerBriefs in Electrical and Computer Engineering,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.