Timeline for Is the invariance property of the ML estimator nonsensical from a Bayesian perspective?
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
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| Jul 3, 2020 at 8:06 | history | edited | pglpm | CC BY-SA 4.0 |
typos
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| Dec 13, 2018 at 11:55 | history | edited | pglpm | CC BY-SA 4.0 |
Corrected typos
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| Aug 23, 2018 at 8:50 | comment | added | Xi'an | There exist ways to define invariant Bayes estimators, in the above sense, by creating a functional loss function, as eg the Kullback-Leibler divergence between two densities. I called these losses intrinsic losses in a 1996 paper. | |
| Mar 29, 2018 at 19:14 | history | edited | pglpm | CC BY-SA 3.0 |
Made a statement more precise
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| Mar 29, 2018 at 15:41 | history | edited | pglpm | CC BY-SA 3.0 |
fixed typo
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| Mar 29, 2018 at 14:43 | history | edited | pglpm | CC BY-SA 3.0 |
Corrected after further research
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| Mar 28, 2018 at 21:12 | history | edited | pglpm | CC BY-SA 3.0 |
Expanded answer to include proper definition of Bayes estimator
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| Mar 28, 2018 at 14:53 | history | edited | pglpm | CC BY-SA 3.0 |
corrected typo
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| Mar 28, 2018 at 13:58 | vote | accept | user56834 | ||
| Mar 28, 2018 at 12:33 | history | answered | pglpm | CC BY-SA 3.0 |