Timeline for What does extrapolation mean in the context of regression weights and what are its downsides?
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Dec 11, 2023 at 14:55 | comment | converted from answer | mo1234 | It's about using a convex combination to remain inside support of the observations I think this book explains why we should avoid extrapolation and why using a convex combination is important in synthetic control to remian inside the support of the data : matheusfacure.github.io/python-causality-handbook/… | |
| Jun 5, 2023 at 0:42 | vote | accept | Brian Lookabaugh | ||
| May 31, 2023 at 11:46 | answer | added | Scriddie | timeline score: 1 | |
| May 26, 2023 at 13:35 | history | edited | Brian Lookabaugh | CC BY-SA 4.0 | added 1464 characters in body |
| May 26, 2023 at 13:29 | comment | added | Brian Lookabaugh | @Scriddie sure! I'll edit the initial post to support that claim | |
| May 26, 2023 at 9:15 | comment | added | Scriddie | Can you point to a section of the works where they make their claim about regression's reliance on extrapolation being a negative feature? | |
| May 25, 2023 at 16:31 | history | asked | Brian Lookabaugh | CC BY-SA 4.0 |