04 Checkpoint: Probability and Information Theory

Content and key concepts

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Eight reviews of the mechanism
Threshold: 7 out of 8. without a timer. Balls are given for answers, not for visits. This is a local self-check; the decisions will be shown after dispatch.
1. All three non-negative masses are equal to 0.
Declaration of even distribution silently
Show that the norm is not defined
Count the sum of probability 0
2. P(A-B) and P(B-A)...
In general, different
Always equal.
Both are independent of the prior
3. Likelihood compares...
Parameters for fixed data
Only future currents
Posterior without prior
4. The minimum entropy of the final distribution shall be achieved ...
At equal probability
At negative probability
With all the mass in one outcome
5. Waiting for the results 0.2 pp=[5,.25, 25]?
Your numerical response
6. Likelihood [1,1.0] at theta =.75?
Your numerical response
7. Enthropia [5, 25, 25] bumped?
Your numerical response
8. The PP equal model for 4 candidates?
Your numerical response
The result will appear after all the answers have been sent.
Research and explain
Check this out for a possible Target to 0. Explain why there is an endless fine rather than an arithmetic error. Compare the imputed probability of a detector at different priors.
First, shape the hypothesis, then change one parameter. Compare the numbers to the formula; state the extreme case and the limit of applicability. The free conclusion is not evaluated by a dummy automatic score.