Skip to main content
Open Access Publications from the University of California

A note on correlational measures


Determining the degree to which two events are interrelated is a common subtask for artificial intelligence systems, especially learning systems. This note examines four correlational measures which allow quantization of the relationships between events. Despite the fact that the measures have diverse motivations and formulations, they all indicate irrelevance precisely at the point of statistical independence.

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View