Simple joint probability distribution

Click For Summary
SUMMARY

The discussion revolves around calculating the joint probability distribution for two machines, X and Y, where X influences Y's operation. When X is activated, Y turns on with a probability of 50%. If Y turns on, it has a 25% chance of breaking. The key focus is on determining the joint probability distribution of Y turning on and breaking, as well as calculating the mutual information between these two events. The participants express difficulty in starting the calculations and seek guidance on constructing the joint probability distribution.

PREREQUISITES
  • Understanding of joint probability distributions
  • Basic knowledge of conditional probabilities
  • Familiarity with mutual information concepts
  • Ability to interpret probabilistic models
NEXT STEPS
  • Study the construction of joint probability distributions using examples
  • Learn about conditional probability and its applications
  • Explore mutual information calculations in probability theory
  • Review practical applications of joint distributions in machine learning
USEFUL FOR

Students in statistics, data science enthusiasts, and anyone interested in understanding joint probability distributions and their applications in probabilistic models.

jetlam
Messages
3
Reaction score
0

Homework Statement



Let's say there are two machines, X and Y. X is connected to Y.

* If X is turned on, Y turns on 50% of the time.
* If Y turns on (through X being turned on) then it breaks 25% of the time.
* Y won't break spontaneously and it can only be turned on through X.

What is the joint probability distribution between Y turning on and Y breaking?
Considering the set of times that X turns on, what is the mutual information between Y turning on and Y breaking (how many bits)?

Thanks.

2. The attempt at a solution

I'm not really sure how to start or how to make the joint probability distribution.
 
Physics news on Phys.org

Similar threads

  • · Replies 2 ·
Replies
2
Views
1K
Replies
6
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 8 ·
Replies
8
Views
3K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
4K