Timeline for Predicting future airfare using past data
Current License: CC BY-SA 3.0
9 events
| when toggle format | what | by | license | comment | |
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| S Dec 4, 2017 at 9:32 | history | suggested | Hasaan Mubasher | CC BY-SA 3.0 |
misspelled "trial"
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| Dec 4, 2017 at 8:41 | review | Suggested edits | |||
| S Dec 4, 2017 at 9:32 | |||||
| Nov 23, 2017 at 8:50 | comment | added | sera | Thanks a lot for the resource. I agree with you in general. However the route that I am considering has a monopoly on non-stops. So, my intuition was that there should be lower dependence on other routes. | |
| Nov 21, 2017 at 4:15 | comment | added | sera | No, at moment, I am only considering the data for one particular carrier on one route for different trip start dates | |
| Nov 21, 2017 at 2:33 | comment | added | sera | The data does different start dates do not seem to be correlated. | |
| Nov 18, 2017 at 18:07 | comment | added | sera | Added a graph to show the data for different start dates. I have a time series for every start date. The number of data points in every series is ~100. I have 105 different time series corresponding to the different start dates. The part I am struggling with is: how do I combine the learning from all these time series. | |
| Nov 12, 2017 at 7:02 | comment | added | sera | Thank you. Will update the question with my exploratory analysis. The basic problem with ARIMA etc is that I am just using the time series for a particular trip date for the forecasting. I am trying to brainstorm how I can 'learn' from the 105 different time series for the same route; but for different trip dates. | |
| Nov 12, 2017 at 6:08 | history | edited | Toros91 | CC BY-SA 3.0 |
added 140 characters in body
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| Nov 12, 2017 at 5:58 | history | answered | Toros91 | CC BY-SA 3.0 |