Lecture 5 Flashcards
1
Q
A
2
Q
What is the formula for marginal likelyhood?
A
Volgens mij klopt dit niet helemaal, maar ja te lui om het uit te zoeken
3
Q
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4
Q
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5
Q
How can the acceptance percentage and the serial correlation in the sequence of draws be used to evaluate whether a candidate distribution is good or bad in the independence chain Metropolis-Hastings method?
A
6
Q
When is a candidate distribution perfect (i.e. equal to the target density) for the Independence chain Metropolis-Hastings Method?
A
7
Q
When is a candidate distribution too wide for the Independence chain Metropolis-Hastings Method?
A
8
Q
When is a candidate distribution too narrow for the Independence chain Metropolis-Hastings Method?
A
9
Q
A
10
Q
A
11
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12
Q
A
- You can see the difference in acceptance rate, thus a waning signal
13
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