math-probability-stochastic-independence.html
* created: 2025-10-28T16:41
* modified: 2025-10-30T17:39
title
Stochastic Independence
description
The chance of a thing happening does not depend of another thing happening before.
related notes
Stochastic Independence
Independence: Two outcomes A and B are independent if:
P(A \cap B) = P(A) \cdot P(B)
This can also be written as (conditional probabilities):
P(B|A) = P(B)
This basically means that A happening has no influence on B happening (think more in terms of multiple outcomes happening in a row).
Related Notes: