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Timeline for Forecasting binary time series

Current License: CC BY-SA 3.0

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Nov 19 at 8:46 history edited Richard Hardy
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Mar 16, 2021 at 13:24 comment added Marco Cerliani towardsdatascience.com/…
Jun 6, 2017 at 9:51 answer added ulfelder timeline score: 6
Nov 3, 2013 at 6:07 answer added Alex Lamb timeline score: 4
Oct 28, 2011 at 5:40 answer added Galit Shmueli timeline score: 4
Sep 3, 2011 at 0:13 comment added Ricardo Bessa In this case there is only 1, meaning that the car is not moving. Perhaps hidden markov models can be a good option.
Sep 2, 2011 at 19:13 comment added Wayne Are there really two types of 1's in your data? That is, 1 meaning the car could be moving but is not versus 1 meaning that your car really could not be moving at this time. That would be called one-inflation (it's usually zero-inflation). If so, you need to model when the car can be moving or not versus when it might be moving but is not.
Sep 2, 2011 at 18:54 history edited whuber CC BY-SA 3.0
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Sep 2, 2011 at 18:26 comment added Aaron - mostly inactive Ricardo, you should edit your question with this additional information instead of adding it as an answer. Thanks, and welcome to the site!
Sep 2, 2011 at 18:17 comment added user6145 Thanks for the answers. But there is any software package already available with some implementations? I have searched in R, but I only found the VLMC package. Thanks, Ricardo Bessa
Sep 2, 2011 at 7:14 answer added hbaghishani timeline score: 10
Sep 2, 2011 at 3:25 comment added Ram Ahluwalia Have you considered a hidden markov model?
Sep 2, 2011 at 3:22 comment added Mithun Ashok see if this helps math.bme.hu/~morvai/publications/papers/… good day
Sep 1, 2011 at 15:39 history tweeted twitter.com/#!/StackStats/status/109289232429883392
Sep 1, 2011 at 15:05 history edited whuber
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Sep 1, 2011 at 14:56 history asked Ricardo Bessa CC BY-SA 3.0