Independent vs. Uncorrelated Random Variables

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Discussion Overview

The discussion centers on the distinction between independent and uncorrelated random variables, exploring their definitions and practical examples. It involves theoretical considerations and conceptual clarification.

Discussion Character

  • Conceptual clarification, Debate/contested

Main Points Raised

  • Some participants propose that uncorrelated variables lack linear dependence but may exhibit nonlinear dependence, while independent variables have no dependence at all.
  • One participant requests further elaboration and examples to clarify the concepts of independence and uncorrelation.

Areas of Agreement / Disagreement

Participants express differing levels of understanding regarding the concepts, with some agreement on definitions but a lack of consensus on practical examples.

Contextual Notes

Some assumptions about the nature of dependence and the implications of correlation versus independence may be missing or not fully explored.

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Hello,

What is the difference between independent and uncorrelated random variables? Practical examples of both?

Regards
 
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If variables are uncorrelated they have no _linear_ dependence, but they might have a dependence that is nonlinear. If variables are independent they have no dependence at all.
 
mXSCNT said:
If variables are uncorrelated they have no _linear_ dependence, but they might have a dependence that is nonlinear. If variables are independent they have no dependence at all.

Can you elaborate more with examples, please?

Thanks in advance
 

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