Probability notation: question about joint and conditional probability

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Homework Help Overview

The discussion revolves around the interpretation of conditional and marginal probabilities, specifically the notation ## p(a|b, c) ##. Participants are exploring the meanings of this notation and its implications in probability theory.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants are attempting to clarify whether ## p(a|b, c) ## represents the probability of A given both B and C, or the probability of A given B and then C. There are questions about intuitive understanding and the correct interpretation of joint and conditional probabilities.

Discussion Status

Some participants have provided interpretations of the notation, but there remains confusion due to differing explanations. The original poster is seeking confirmation on the correct interpretation, indicating an ongoing exploration of the topic.

Contextual Notes

There is mention of a joint discrete probability density function (PDF) and the need for clarification on the notation used, suggesting that the notation may not be standard or universally understood.

Master1022
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Homework Statement
What does [itex] p(a|b, c) [\itex] mean?
Relevant Equations
Joint probability
Conditional probability
Hi,

Just a quick question about conditional and marginal probabilities notation.

Question: What does ## p(a|b, c) ## mean?
Does it mean:
1) The probability of A, given (B and C) - i.e. ## p[A | (B \cap C)] ## OR

2) The probability of (A given B) and C - i.e. ## p[(A | B) \cap C] ##

I was also wondering if there was an intuitive way to understand how to break it down, but I should probably try to understand this first.

Thanks
 
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It means the first thing. I don't even know how to interpret the second thing you wrote down.
 
Given a joint discrete PDF, p(x,y), I would always interpret p(x,y) as ##P((X=x) \cap (Y=y))##. I would interpret p(a|b, c) as ##P( (A=a|B=b) \cap (C=c) )##.

CORRECTION: Sorry, I forgot to do the conditional part correctly. I should have said ##P( (A=a)\cap (B=b) \cap (C=c) )/P(B=b)##
 
Last edited:
Thank you very much for both of your replies @Office_Shredder and @FactChecker . However, I am still slightly confused as you both said different things...

Thinking about it again, I think the first option makes sense, but just wanted to confirm.

Office_Shredder said:
It means the first thing. I don't even know how to interpret the second thing you wrote down.
FactChecker said:
Given a joint discrete PDF, p(x,y), I would always interpret p(x,y) as ##P((X=x) \cap (Y=y))##. I would interpret p(a|b, c) as ##P( (A=a|B=b) \cap (C=c) )##.

Thanks
 
Master1022 said:
Homework Statement:: What does ## p(a|b, c)## mean?
I would say the notation is sufficiently unusual to need a specific note in the text on how to interpret it.
 
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I don't understand what Fact Checker's answer means. What does it mean for A=a given B=b and for C=c unless we are assuming B=b for that second part also?

Like suppose we have two coins we flip. What is P(both coins are heads| first coin is heads, second coin is heads). How do you compute it?
 
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