Practical Approaches to Causal Relationship Exploration

• Main Authors: Li, Jiuyong (Author), Liu, Lin (Author), Le, Thuc Duy (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Series: SpringerBriefs in Electrical and Computer Engineering,
• Subjects: Computer science.; Data mining.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.

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...

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.