Timeline for Doubt in derivative of logarithm
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
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| Dec 5, 2013 at 9:46 | history | edited | Elvis | CC BY-SA 3.0 |
added 13 characters in body
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| Dec 5, 2013 at 7:51 | comment | added | Drew75 | It seems like the estimator for $d$ is inverted in the final line. The estimator is actually for $1/d$. | |
| Dec 5, 2013 at 1:52 | comment | added | SKM | Thank you, but can you say from the pdf above, can I get an optimal value of x by applying MLE of Expectation Maximization? | |
| Dec 4, 2013 at 20:04 | comment | added | Elvis | I am sorry, I don’t know anything about signal filtering and stuff. You should open a new question, describing in details your data, your problem and the rationale of your solution. | |
| Dec 4, 2013 at 18:53 | comment | added | SKM | Thank you for your reply. Could you please let me know if the extension of the above is possible for this application : Considering xi to be the values of distances between 2 different signals - received signal X with actual parameters a,b & Y is the output of inverse filter. Distances are ri = ||Xi -Yi||.Instead of using the raw distances, using the pdf of the distances from above for both signals, how can I apply MLE on D=integration(f(xn|a,b))-f(yn|a1,b1))^2 dy, so as to maximize the probability of finding the D ? | |
| Dec 4, 2013 at 18:43 | vote | accept | SKM | ||
| Dec 4, 2013 at 9:06 | history | answered | Elvis | CC BY-SA 3.0 |