Marginal PDF Bounds: Calculating Integration Limits

  • Context: Undergrad 
  • Thread starter Thread starter fishies
  • Start date Start date
  • Tags Tags
    Bounds Marginal Pdf
Click For Summary
SUMMARY

The discussion focuses on calculating the integration limits for the marginal probability density functions (PDFs) of two random variables defined by a joint PDF, fX1,X2(x1,x2), which is constant (C = 1) within the bounds 0 ≤ x1 ≤ 1 and 0 ≤ x2 ≤ 2(1 - x1). The marginal PDFs are expressed as fx1 = ∫(-∞,∞) fX1,X2(x1,x2) dx2 and fx2 = ∫(-∞,∞) fX1,X2(x1,x2) dx1. The integration bounds for both marginal PDFs should match the specified regions for x1 and x2, as the distributions are defined to be zero outside these limits.

PREREQUISITES
  • Understanding of joint probability density functions (PDFs)
  • Knowledge of marginal probability density functions
  • Familiarity with integration techniques in calculus
  • Concept of limits in probability theory
NEXT STEPS
  • Study the properties of joint and marginal probability density functions
  • Learn about integration techniques for probability distributions
  • Explore the concept of support in probability theory
  • Review examples of calculating marginal PDFs from joint PDFs
USEFUL FOR

Students and professionals in statistics, data science, and mathematics who are working with probability distributions and need to understand the calculation of marginal PDFs from joint distributions.

fishies
Messages
1
Reaction score
0
Hey guys,

So I'm having trouble telling what the integration bounds should be when calculation the marginal PDF of two random variables.

So the joint PDF fX1,X2(x1,x2) is a constant C = 1 in the regions x1 and x2.
The regions are bound by 0<=x1<=1 and 0<=x2<=2(1-x1).

If the marginal PDFs are defined as:
fx1 = int(-inf,inf) fX1,X2(x1,x2)*dx2
fx2 = int(-inf,inf) fX1,X2(x1,x2)*dx1

what will the integration bounds be?

Thanks for your help,
Fishies
 
Physics news on Phys.org
fishies said:
what will the integration bounds be?

Fishies

They will be the same as the bounds that you stated for x1 and x2. Is that what you're asking? The use of minus infinity to plus infinity in theorems involving the distribution of random variables is correct if we use the convention that the distributions are defined to be zero at places where they are otherwise "undefined". To actually perform the integrations on distributions given by algebraic expressions but restricted to finite areas, you must use bounds that restrict the integration to those areas.
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 5 ·
Replies
5
Views
4K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 10 ·
Replies
10
Views
3K
  • · Replies 1 ·
Replies
1
Views
5K
  • · Replies 9 ·
Replies
9
Views
5K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 6 ·
Replies
6
Views
4K
  • · Replies 1 ·
Replies
1
Views
2K