Independence
Chapter 13: Probability and Random Variables — Independence & Conditional Independence
From the book
Chapter 13: Probability and Random Variables. In the chapter mind map this icon labels Independence & Conditional Independence. The discussion below is excerpted and lightly edited from § Definition: Independence (Discrete) in Mathematics for AI and Machine Learning.
Discrete random variables $X$ and $Y$ are independent if
What this drawing shows
What you see. Represents variables whose joint distribution factorizes into separate marginals, indicating no statistical dependence.
In the mind map. Chapter 13 — Independence & Conditional Independence. See From the book above for definitions, figures, and worked examples.
Where to read next
Read the full definitions, figures, and worked examples in Chapter 13: Probability and Random Variables — see the mind-map node Independence & Conditional Independence.