Conditional Distribution Functions

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Homework Help Overview

The problem involves finding the joint and marginal distributions of two random variables, X1 and X2, where X1 is uniformly distributed on the interval [0,1], and X2 is uniformly distributed on the interval [0,X1] given X1. Participants are exploring the relationships between these distributions and the implications of their definitions.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the conditional joint distribution and attempt to derive the marginal distribution of X2. There is confusion regarding the notation used for integration and the correct interpretation of conditional densities.

Discussion Status

Some participants have provided insights into the joint density function, while others are questioning the notation and the steps taken in the integration process. There is an ongoing exploration of the correct approach to finding the marginal distribution and clarifying the definitions involved.

Contextual Notes

There is a noted confusion regarding the integration limits and notation, which some participants suggest may not be standard. Additionally, there is uncertainty about the explicit form of the marginal density function for X2 and the implications of encountering undefined terms during integration.

Brandon1994
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Homework Statement


If X1 is uniform on [0,1], and, conditional on X1, X2, is uniform on [0,X1], find the joint and marginal distributions of X1 and X2


Homework Equations



conditional joint distribution

The Attempt at a Solution



f(x1|x2) = 1/x1 (for 0<x2<x1)
f(x1) = 1 ( for 0<x1<1)

then
F(x1,x2) = Integrate (1/x1) from {x2,0,x2}{x1,0,x1}
I get an ln(0) when i try to integrate however

for the marginal distribution of x2, i get X2~[0,X1] //i am not sure if that's the answer they are looking for, if i try to write an explicit density function for X2 i get that the density is infinity, again due to the ln (0) term.

Thanks
 
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Brandon1994 said:

Homework Statement


If X1 is uniform on [0,1], and, conditional on X1, X2, is uniform on [0,X1], find the joint and marginal distributions of X1 and X2


Homework Equations



conditional joint distribution

The Attempt at a Solution



f(x1|x2) = 1/x1 (for 0<x2<x1)
f(x1) = 1 ( for 0<x1<1)

then
F(x1,x2) = Integrate (1/x1) from {x2,0,x2}{x1,0,x1}
I get an ln(0) when i try to integrate however

for the marginal distribution of x2, i get X2~[0,X1] //i am not sure if that's the answer they are looking for, if i try to write an explicit density function for X2 i get that the density is infinity, again due to the ln (0) term.

Thanks

You have it exactly backwards: you are given ##f(x_2|x_1)##, not ##f(x_1|x_2).##

Also: what does the notation "Integrate(1/x1) from {x2,0,x2}{x1,0,x1}" mean? I have never seen that before.

Anyway, the first thing to do is to answer the question "what is the joint distribution of ##(X_1,X_2)?## You have not done that.
 
wouldn't the joint density be:
f(X1,X2) = 1/X1

and I was saying to find the marginal density f(X2) you would integrate the above expression
 
Brandon1994 said:
wouldn't the joint density be:
f(X1,X2) = 1/X1

and I was saying to find the marginal density f(X2) you would integrate the above expression

Yes, f(x1,x2) = 1/x1, bit only on an appropriate region in (x1,x2)-space. You need to spell out the details.

Of course you need to do an integral to get the marginal distibution of x2, but that was not the point. I asked what you meant by the weird notation "Integrate(1/x1) from {x2,0,x2}{x1,0,x1}". This looks like something you invented that nobody else knows about, but surely you must have in mind some meaning for it. I am asking you to explain that meaning---in detail, not just saying that you need to integrate. That is: what is the integration variable, and what are the limits of integration?Even better, what is the final answer you get?
 

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