Timeline for How would a bayesian estimate a mean from a large sample?
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
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| Apr 7, 2022 at 17:41 | comment | added | Sextus Empiricus | You could add $S^2$ as well but then you are gonna relate to assuming some specific type of probability distribution, which you wanted to avoid. | |
| Apr 7, 2022 at 17:39 | comment | added | Sextus Empiricus | @Manuel in my answer the $S^2$ is not included as observation. We just have $\mathcal{L}(\mu , \sigma^2 | \bar X)$ | |
| Apr 7, 2022 at 13:11 | comment | added | Manuel | I am struggling to give $\mathcal{L}(\mu , \sigma^2 | \bar X, S^2)$ any idea o how should that be? | |
| Apr 6, 2022 at 16:55 | vote | accept | Manuel | ||
| Apr 6, 2022 at 16:53 | comment | added | Manuel | This is what i need. It did take me some time to realize that $\mathcal{L}(\mu | \bar X) = f( \bar X | \mu)$. The related question was quite helpful. Thanks! | |
| Apr 6, 2022 at 14:50 | history | edited | Sextus Empiricus | CC BY-SA 4.0 |
added 69 characters in body
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| Apr 6, 2022 at 14:29 | history | answered | Sextus Empiricus | CC BY-SA 4.0 |