Timeline for How to bet on a binary event based on the markov transition matrix, state probabilities and the odds
Current License: CC BY-SA 3.0
10 events
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| Sep 30, 2019 at 15:07 | history | edited | kjetil b halvorsen♦ |
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| Sep 20, 2017 at 9:29 | history | edited | George Pamfilis | CC BY-SA 3.0 |
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| Sep 20, 2017 at 9:28 | comment | added | George Pamfilis | @Tim i updated it once more. | |
| Sep 20, 2017 at 9:23 | history | edited | George Pamfilis | CC BY-SA 3.0 |
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| Sep 20, 2017 at 9:04 | history | edited | Tim |
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| Sep 20, 2017 at 9:03 | comment | added | Tim | The information that is still lacking is some more details about your problem. Moreover, you need to give us information on the reward system (e.g. do you get full reward for correct guess and no reward otherwise, or are partial rewards possible, how does reward relate to the amount of the bet etc.?). Are you betting for a single game, or for a series of games? There is lots of things that possibly would need to be considered, so the more details you give us, the mroe likely you are to get better answer. | |
| Sep 20, 2017 at 8:58 | comment | added | George Pamfilis | @Tim updated my answer above | |
| Sep 20, 2017 at 8:57 | history | edited | George Pamfilis | CC BY-SA 3.0 |
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| Sep 20, 2017 at 8:52 | comment | added | Tim | Could you give us more details? I may be missing something, but matrix of transition probabilities should be a matrix, e.g. a 2x2 matrix. How did you calculate those values? What exactly is your data? Moreover, what do you mean by "betting" in here? | |
| Sep 20, 2017 at 8:41 | history | asked | George Pamfilis | CC BY-SA 3.0 |