Timeline for How to Implement and Minimize Maximum Likelihood Expression in MATLAB
Current License: CC BY-SA 4.0
20 events
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| Mar 14, 2020 at 9:03 | history | edited | Royi | CC BY-SA 4.0 |
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| Sep 27, 2017 at 10:25 | history | edited | Royi |
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| Nov 3, 2016 at 3:44 | vote | accept | SKM | ||
| Aug 31, 2016 at 23:17 | vote | accept | SKM | ||
| Nov 3, 2016 at 3:43 | |||||
| Aug 29, 2016 at 20:50 | answer | added | Peter K.♦ | timeline score: 1 | |
| Aug 29, 2016 at 19:55 | history | edited | SKM | CC BY-SA 3.0 |
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| Aug 29, 2016 at 19:42 | history | edited | SKM | CC BY-SA 3.0 |
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| Aug 29, 2016 at 19:41 | comment | added | SKM | @PeterK.: $z = rand(1,N)$ is a sequence of real valued numbers. This is known. When I use the plot command display(H_est(index,:)); plot(1:9,log(llh)) I am not getting a smooth curve with one peak indicating where the curve has maximized. I am getting multiple peaks. Don't know what is the proper way to show the plot. | |
| Aug 29, 2016 at 19:37 | comment | added | Peter K.♦ | That's somewhat better... but do you know $\mathbf{z}_n$ ? If not, do you know something about it? | |
| Aug 29, 2016 at 19:30 | history | reopened |
MBaz Peter K.♦ |
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| Aug 29, 2016 at 17:39 | history | edited | Peter K.♦ | CC BY-SA 3.0 |
Formatting for easier reading
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| Aug 29, 2016 at 17:12 | review | Reopen votes | |||
| Aug 29, 2016 at 19:33 | |||||
| Aug 29, 2016 at 16:55 | comment | added | SKM | @PeterK.: I have updated the Question based on your suggestions. Please let me know if it is clear or not. Thank you. | |
| Aug 29, 2016 at 16:54 | history | edited | SKM | CC BY-SA 3.0 |
updated
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| Aug 28, 2016 at 0:40 | history | closed | Peter K.♦ | Needs details or clarity | |
| Aug 28, 2016 at 0:40 | comment | added | Peter K.♦ | The numerical solution of the ML estimate is quite different from writing the equation. You seem to be confusing the two. | |
| Aug 28, 2016 at 0:31 | comment | added | SKM | @PeterK.:I think in my estimation technique I have to solve using Expectation Maximization which is an iterative optimization algorithm. In my other estimation problem using another model, I have to apply Gradient descent. So, you see that this example would help me to later adapt to other estimation techniques. | |
| Aug 27, 2016 at 23:15 | comment | added | Peter K.♦ | Why do you need to iterate? The equation doesn't require it. | |
| Aug 27, 2016 at 21:11 | history | edited | SKM | CC BY-SA 3.0 |
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| Aug 27, 2016 at 20:51 | history | asked | SKM | CC BY-SA 3.0 |