Timeline for Estimate Posterior with: Binomial Likelihood with 1/θ Prior
Current License: CC BY-SA 3.0
17 events
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| Jan 8, 2017 at 0:05 | comment | added | Michael R. Chernick | So you get the beta posterior. Was it legitimate to use i/theta as a prior? The exponents are then k-1 and n-k? | |
| Jan 7, 2017 at 22:58 | comment | added | whuber♦ | @Michael That wasn't a hint: it is the answer. This is a trivial question. | |
| Jan 7, 2017 at 21:10 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
formatted; light editing
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| Jan 7, 2017 at 21:05 | comment | added | gung - Reinstate Monica |
This thread has the [self-study] tag, & does present what the OP understands thus far. It meets our standards & can remain open.
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| Jan 7, 2017 at 14:44 | review | Close votes | |||
| Jan 7, 2017 at 21:10 | |||||
| Jan 7, 2017 at 14:34 | history | edited | Artur |
edited tags
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| Jan 7, 2017 at 14:26 | vote | accept | Artur | ||
| Jan 7, 2017 at 14:20 | comment | added | Xi'an |
If this is an assignement, you should have included the self-study tag.
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| Jan 7, 2017 at 14:12 | answer | added | John K. Kruschke | timeline score: 2 | |
| Jan 7, 2017 at 12:07 | comment | added | Michael R. Chernick | @whuber Can you explain your hint without giving away the answer (assuming that you know it)? | |
| Jan 7, 2017 at 9:39 | comment | added | Artur | @Xi'an indeed it looks wierd, but that was given by the assignment: p(theta) ∝ 1/theta | |
| Jan 7, 2017 at 9:37 | comment | added | Artur | @MichaelChernick, the data is discrete. The random variable is the numer of patience with no side effects. I am a bit comfused myself about the form of the prior, but that was given by the assignment: p(theta) ∝ 1/theta. | |
| Jan 7, 2017 at 8:36 | comment | added | Xi'an | This prior should not be used because the posterior is not defined when $X=n$, which has a positive probability to occur under the Binomial model. | |
| Jan 6, 2017 at 23:11 | comment | added | whuber♦ | $\beta = n-k+1$. | |
| Jan 6, 2017 at 23:00 | comment | added | Michael R. Chernick | Is your data discrete or continuous? Is the parameter a proportion. I am thinking you may be talking about a situation wher you have a beta posterior and a binomial likelihood. But why does a 1/theta prior enter into it? Is that even a proper prior? | |
| Jan 6, 2017 at 22:43 | review | First posts | |||
| Jan 6, 2017 at 23:11 | |||||
| Jan 6, 2017 at 22:41 | history | asked | Artur | CC BY-SA 3.0 |