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Timeline for How to get the estimator?

Current License: CC BY-SA 4.0

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Jul 15, 2022 at 3:51 comment added Iosif Pinelis @Hermi : I will.
Jul 15, 2022 at 1:14 comment added Iosif Pinelis @Hermi : In general, whatever metric $d$ is used for $W(\pi)$, the same metric will be used for $W(\hat\pi)$.
Jul 14, 2022 at 18:08 comment added Iosif Pinelis @Hermi : $|\cdot|$ is the same as in your post, where apparently $d(x,y)=|x-y|$, with $|\cdot|$ apparently denoting the absolute value.
Jul 14, 2022 at 15:24 vote accept Hermi
Jul 14, 2022 at 14:23 comment added Iosif Pinelis @Hermi : I am glad that the answer is clear now. As for a plug-in estimator of $D(\pi)$, indeed you had the right idea in your "new edition", to start with a slightly different expression for $D(\pi)$. This idea is now implemented in the answer. If you have no other questions about this answer, can we wrap it up in accordance with the guidelines at mathoverflow.net/help/accepted-answer and mathoverflow.net/help/someone-answers ?
Jul 14, 2022 at 14:22 history edited Iosif Pinelis CC BY-SA 4.0
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Jul 14, 2022 at 13:45 history edited Iosif Pinelis CC BY-SA 4.0
added 226 characters in body
Jul 14, 2022 at 7:07 comment added Steve I am confused at the form of $D(\hat\pi)$ at the end. Since $\hat\pi$ does not depend on $Y_{N+1}, ...$ how can $D(\hat\pi)$ depend on it?
Jul 13, 2022 at 15:14 history edited Iosif Pinelis CC BY-SA 4.0
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Jul 13, 2022 at 15:13 comment added Iosif Pinelis @Hermi : (i) Yes, the measure $\hat\pi_G$ defined in my answer is an estimator of the measure $\pi_G$ defined in your post. (ii) Your second comment is incorrect. I have now added details on this. (iii) In your Q3, I don't know what you mean by $\hat\pi_x$. I have now added details on this as well. (iv) I don't know where you got the first formula in your latest comment from. Details on this are also added. If you have further comments, please review them carefully before making them.
Jul 10, 2022 at 16:08 history answered Iosif Pinelis CC BY-SA 4.0