Timeline for Estimating the average of two gaussians' mean with minimal squared error
Current License: CC BY-SA 4.0
10 events
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| Oct 22, 2021 at 10:57 | comment | added | Iosif Pinelis | @RB : Yes, you may want to consider such rigid, non-soft restrictions as well. | |
| Oct 22, 2021 at 9:22 | comment | added | R B | Another question: would the following model be reasonable: Say that we know that $\mu_1,\mu_2\in[0,1]$ and would want to minimize the expected squared error for the worst-case $\mu1,\mu_2$. Would this allow us to do something interesting? This seems closer to the problem we have than assuming a prior distribution on $\mu1,\mu2$. | |
| Oct 21, 2021 at 19:37 | history | edited | Iosif Pinelis | CC BY-SA 4.0 |
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| Oct 21, 2021 at 17:17 | history | edited | Iosif Pinelis | CC BY-SA 4.0 |
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| Oct 21, 2021 at 16:50 | history | edited | Iosif Pinelis | CC BY-SA 4.0 |
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| Oct 21, 2021 at 16:50 | vote | accept | R B | ||
| Oct 21, 2021 at 16:50 | comment | added | R B | That's helpful, thank you. | |
| Oct 21, 2021 at 14:30 | history | edited | Iosif Pinelis | CC BY-SA 4.0 |
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| Oct 21, 2021 at 13:56 | history | edited | Iosif Pinelis | CC BY-SA 4.0 |
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| Oct 21, 2021 at 13:50 | history | answered | Iosif Pinelis | CC BY-SA 4.0 |