Timeline for How to extract dependence on a single variable when independent variables are correlated?
Current License: CC BY-SA 3.0
17 events
| when toggle format | what | by | license | comment | |
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| Oct 16, 2018 at 18:38 | history | edited | kjetil b halvorsen♦ |
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| May 5, 2014 at 15:49 | vote | accept | mdeceglie | ||
| S May 5, 2014 at 15:49 | history | bounty ended | ArgentoSapiens | ||
| S May 5, 2014 at 15:49 | history | notice removed | ArgentoSapiens | ||
| May 1, 2014 at 12:45 | comment | added | Cam.Davidson.Pilon | en.wikipedia.org/wiki/Partial_correlation is one such method | |
| May 1, 2014 at 12:40 | answer | added | tomka | timeline score: 2 | |
| Apr 29, 2014 at 20:29 | answer | added | coffeinjunky | timeline score: 7 | |
| Apr 29, 2014 at 14:36 | history | tweeted | twitter.com/#!/StackStats/status/461152157883203584 | ||
| Apr 29, 2014 at 13:45 | comment | added | dmanuge | I also do not have enough reputation to comment, but I have an interest in this question for nonparametric models. So for a particular variable $X_i$, we do not have a $\beta_i$, but rather a series estimate of some function $f_i(X_i)$. For example, the generalize additive model takes the form: $$ Y = f(X_1) + f(X_2) + f(X_3) + \epsilon $$ Would the proposed tool be able to control for the dependence structure in a nonparametric model when the $X_i$'s are known be to correlated? | |
| S Apr 29, 2014 at 12:51 | history | bounty started | ArgentoSapiens | ||
| S Apr 29, 2014 at 12:51 | history | notice added | ArgentoSapiens | Draw attention | |
| Apr 24, 2014 at 1:38 | answer | added | Aksakal | timeline score: 4 | |
| Apr 24, 2014 at 0:51 | history | edited | Nick Stauner | CC BY-SA 3.0 |
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| Apr 24, 2014 at 0:49 | review | First posts | |||
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| Apr 24, 2014 at 0:46 | history | edited | mdeceglie | CC BY-SA 3.0 |
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| Apr 24, 2014 at 0:36 | history | edited | mdeceglie | CC BY-SA 3.0 |
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| Apr 24, 2014 at 0:29 | history | asked | mdeceglie | CC BY-SA 3.0 |