Independencyotypes
Independencytypes refers to a theoretical framework used in statistics and artificial intelligence to categorize and analyze the relationships between random variables. It provides a way to classify how variables influence each other, or do not influence each other, within a given system. The core idea is to move beyond simple correlation and understand the underlying causal or probabilistic dependencies.
There are several levels of independencytypes. Complete independence is the strongest form, where the occurrence or
Further distinctions can be made based on the nature of the dependency. This might include linear dependencies,