Asked by Anonymous
Let Θ be a Bernoulli random variable that indicates which one of two hypotheses is true, and let P(Θ=1)=p. Under the hypothesis Θ=0, the random variable X has a normal distribution with mean 0, and variance 1. Under the alternative hypothesis Θ=1, X has a normal distribution with mean 2 and variance 1.
Consider the MAP rule for deciding between the two hypotheses, given that X=x.
Suppose for this part of the problem that p=2/3. The MAP rule can choose in favour of the hypothesis Θ=1 if and only if x≥c1. Find the value of c1.
c1=
For this part, assume again that p=2/3. Find the conditional probability of error for the MAP decision rule, given that the hypothesis Θ=0 is true.
P(error|Θ=0)=
Find the overall (unconditional) probability of error associated with the MAP rule for p=1/2.
You may want to consult to standard normal table.
Consider the MAP rule for deciding between the two hypotheses, given that X=x.
Suppose for this part of the problem that p=2/3. The MAP rule can choose in favour of the hypothesis Θ=1 if and only if x≥c1. Find the value of c1.
c1=
For this part, assume again that p=2/3. Find the conditional probability of error for the MAP decision rule, given that the hypothesis Θ=0 is true.
P(error|Θ=0)=
Find the overall (unconditional) probability of error associated with the MAP rule for p=1/2.
You may want to consult to standard normal table.
Answers
Answered by
Anonymous
Has anyone solved this question?
Answered by
MIT Student
c1 = 2/3
Answered by
Markito
1. 0.653
2. 0.257
3. 0.159
2. 0.257
3. 0.159
Answered by
ano
How did you get 0.653?
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