Timeline for How to introduce a-priori knowledge about the factors in linear regression?
Current License: CC BY-SA 3.0
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| Apr 13, 2017 at 12:44 | history | edited | CommunityBot |
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| Mar 15, 2017 at 19:53 | comment | added | Kodiologist | "this isn't straightforwardly a Bayesian regression issue, since you're interested in weighting the inclusion of variables, not (directly) in weighting possible values of the coefficients" — But excluding a variable is equivalent to giving it a coefficient of 0. So you could give a nonzero prior weight to {0} to represent a prior belief that the variable doesn't belong. | |
| Mar 14, 2017 at 13:56 | history | answered | Wayne | CC BY-SA 3.0 |