Timeline for What is the Maximum Likelihood Estimator for my nonlinear problem?
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
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| Dec 17, 2023 at 20:14 | comment | added | Sextus Empiricus | @Andy yes, see also for instance this link stats.stackexchange.com/questions/87570/… or Why are the Least-Squares and Maximum-Likelihood methods of regression not equivalent when the errors are not normally distributed? which sort of indirectly asks about the equivalence between least squares and mle with Gaussian errors, by asking it in a negative/complementairy sense (asking why other cases are not equivalent). | |
| Dec 17, 2023 at 19:52 | vote | accept | Andy | ||
| Dec 17, 2023 at 17:53 | comment | added | Andy | Since the errors are independent the probability for $\epsilon_1,\epsilon_2, ...\epsilon_n$ becomes the product of N normal distributions? Taking the natural logarithm of this product it becomes a sum and the ln cancels the exp? | |
| Dec 15, 2023 at 22:39 | history | edited | Sextus Empiricus | CC BY-SA 4.0 |
added 3 characters in body
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| Dec 15, 2023 at 22:24 | history | answered | Sextus Empiricus | CC BY-SA 4.0 |