Timeline for How to model the probability of each horse to win in each horse race?
Current License: CC BY-SA 3.0
11 events
| when toggle format | what | by | license | comment | |
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| Jul 16, 2017 at 17:12 | answer | added | vlad Amolevitch | timeline score: 0 | |
| Apr 14, 2016 at 10:53 | comment | added | Peter Flom | That is going to be very very hard to model, statistically. You'd need a database of races with the types of horses and their styles and then you'd need to try to find some way of rating those. | |
| Apr 14, 2016 at 2:37 | vote | accept | nikademus | ||
| Apr 14, 2016 at 2:35 | comment | added | nikademus | I think it is a good suggestion, but I choose to predict the winning probability as my past experience is that there is indeed interactions between the horses, and there might be slow-pacing and fast-pacing races which might affect the finishing time. | |
| S Apr 14, 2016 at 1:26 | history | suggested | Josef |
remove statsmodels tag
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| Apr 14, 2016 at 0:33 | review | Suggested edits | |||
| S Apr 14, 2016 at 1:26 | |||||
| Apr 13, 2016 at 11:37 | answer | added | Peter Flom | timeline score: 1 | |
| Apr 13, 2016 at 10:29 | review | Close votes | |||
| Apr 13, 2016 at 11:27 | |||||
| Apr 13, 2016 at 10:12 | comment | added | João Almeida | Why don't try to predict how much time each horse is going to take to complete the race instead of which is going to win? This way you ignore the horses interactions during the race but maybe it's enough to get you started. | |
| Apr 13, 2016 at 10:05 | review | First posts | |||
| Apr 13, 2016 at 10:05 | |||||
| Apr 13, 2016 at 10:01 | history | asked | nikademus | CC BY-SA 3.0 |