Timeline for Monte Carlo integration methods utilizing a set of representative points given by a black box [closed]
Current License: CC BY-SA 4.0
17 events
| when toggle format | what | by | license | comment | |
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| Oct 19 at 17:11 | history | closed | whuber♦ | Needs details or clarity | |
| Oct 19 at 15:24 | history | reopened |
fool Adrian Keister mdewey |
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| Oct 11 at 19:57 | comment | added | fool | @whuber Hmmm, OK I will try to reformulate the question this weekend! I appreciate your patience in guiding me on the reformulation :p! | |
| Oct 11 at 12:42 | comment | added | whuber♦ | Thank you. I still find the situation baffling, because there's insufficient information for determining anything about the rest of the distribution except that its density is lower than that near the modes. There's no possible way it could be inferred without additional information or (strong) assumptions about the whole underlying distribution. Why not describe your specific problem, then, rather than relying on the hope that your abstract description is complete and accurate? | |
| Oct 11 at 4:14 | comment | added | fool | @whuber I see how the question was ambiguous and have edited the question. Hopefully it is more precise now. | |
| Oct 11 at 4:13 | history | edited | fool | CC BY-SA 4.0 |
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| Oct 7 at 14:26 | comment | added | whuber♦ | Could you elaborate on what you mean by "a set of independent but identically-distributed points in the distribution corresponding to modes of highest density/probability"? Specifically, in what sense do iid values "correspond to modes"? | |
| Oct 6 at 16:54 | comment | added | fool | Why was my question closed? what can i clarify? i've given examples to begin with. | |
| Oct 6 at 16:52 | review | Reopen votes | |||
| Oct 19 at 15:24 | |||||
| Oct 6 at 11:36 | history | closed |
Xi'an User1865345 whuber♦ |
Needs details or clarity | |
| Oct 6 at 7:35 | review | Close votes | |||
| Oct 6 at 11:36 | |||||
| Sep 1 at 17:30 | comment | added | fool | @Xi'an updated the question: i removed that line. it was meant to express that, if it makes the problem easier, the multimodal distribution can be assumed to have a discrete domain | |
| Sep 1 at 17:28 | history | edited | fool | CC BY-SA 4.0 |
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| Sep 1 at 14:55 | comment | added | Xi'an | What is the meaning of "potentially discrete"?! | |
| Aug 31 at 18:32 | history | edited | fool | CC BY-SA 4.0 |
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| Aug 31 at 18:06 | history | edited | fool | CC BY-SA 4.0 |
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| Aug 31 at 17:40 | history | asked | fool | CC BY-SA 4.0 |