{
  "id": 54505,
  "title": "Temporal Causal Modeling (Granger cause)",
  "url": "/competitions/favorita-grocery-sales-forecasting/discussion/54505",
  "author_name": "Weaver",
  "post_date": "2018-04-14T02:39:31.215000",
  "votes": 0,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I believe use Temporal Causal Modeling (Granger cause) will provide a good solution on these data.\nThe TCM model could find in IBM SPSS. I feel impressed when I use apply on time series prediction.\nBut I really want to apply TCM on python, but I don't know how.</p>\n\n<h2>Please help me, How to make this idea happen.</h2>\n\n<p>I also try a lot of way to find something.\nwhat I could find is Granger test on some python packet.\nBut TCM is about multi-mass time series using Granger test, and discover the delay and relation between each time series.\nFor my feeling, it's just like the difference between decesion tree and random forest.</p>",
  "messages": [
    {
      "id": 313889,
      "postDate": "2018-04-14T02:39:31.217Z",
      "content": "<p>I believe use Temporal Causal Modeling (Granger cause) will provide a good solution on these data.\nThe TCM model could find in IBM SPSS. I feel impressed when I use apply on time series prediction.\nBut I really want to apply TCM on python, but I don't know how.</p>\n\n<h2>Please help me, How to make this idea happen.</h2>\n\n<p>I also try a lot of way to find something.\nwhat I could find is Granger test on some python packet.\nBut TCM is about multi-mass time series using Granger test, and discover the delay and relation between each time series.\nFor my feeling, it's just like the difference between decesion tree and random forest.</p>",
      "rawMarkdown": "I believe use Temporal Causal Modeling (Granger cause) will provide a good solution on these data.\nThe TCM model could find in IBM SPSS. I feel impressed when I use apply on time series prediction.\nBut I really want to apply TCM on python, but I don't know how.\nPlease help me, How to make this idea happen.\n----------------------\nI also try a lot of way to find something.\nwhat I could find is Granger test on some python packet.\nBut TCM is about multi-mass time series using Granger test, and discover the delay and relation between each time series.\nFor my feeling, it's just like the difference between decesion tree and random forest."
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "313889": "I believe use Temporal Causal Modeling (Granger cause) will provide a good solution on these data.\nThe TCM model could find in IBM SPSS. I feel impressed when I use apply on time series prediction.\nBut I really want to apply TCM on python, but I don't know how.\nPlease help me, How to make this idea happen.\n----------------------\nI also try a lot of way to find something.\nwhat I could find is Granger test on some python packet.\nBut TCM is about multi-mass time series using Granger test, and discover the delay and relation between each time series.\nFor my feeling, it's just like the difference between decesion tree and random forest."
  }
}