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Unformatted text preview: Introduction to Probabilistic Graphical Models Problem Set #1 Solutions 1 Probabilistic Graphical Models, Spring 2009 Problem Set #1 Solution : Probability Review 1. After your yearly checkup, the doctor has bad news and good news. The bad news is that you tested positive for a serious disease, and that the test is 99% accurate (i.e., the probability of testing positive given that you have the disease is 0.99, as is the probability of testing negative given that you don’t have the disease). The good news is that this is a rare disease, striking only one in 10,000 people. Why is it good news that the disease is rare? What are the chances that you actually have the disease? Answer: We are given the following information: P ( test 1  disease 1 ) = . 99 P ( test  disease ) = . 99 P ( disease 1 ) = . 0001 where test 1 means that the test is positive. What the patient is concerned about is P ( disease 1  test 1 ) . Roughly speaking, the reason it is a good thing that the disease is rare is that P ( disease 1  test 1 ) is proportional to P ( disease 1 ) , so a lower prior for disease will mean a lower value for P ( disease  test ) . Then if 10,000 people take the test, we expect 1 of them to actually have the disease, and most likely test positive, while the rest do not have the disease, but 1% of them (about 100 people) will test positive anyway, so P ( disease  test ) will be about 1 in 100....
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 Fall '07
 EranSegal
 Conditional Probability, Probability theory, Models Problem Set, Graphical Models Problem

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