Timeline for Splines vs Gaussian Process Regression
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jul 23, 2017 at 21:25 | vote | accept | ved | ||
| Jun 29, 2017 at 8:29 | answer | added | maatouk Hassan | timeline score: 6 | |
| Apr 13, 2017 at 12:44 | history | edited | CommunityBot |
replaced http://stats.stackexchange.com/ with https://stats.stackexchange.com/
|
|
| Jan 25, 2016 at 10:43 | answer | added | Pop | timeline score: 24 | |
| Apr 3, 2015 at 12:15 | answer | added | j__ | timeline score: 2 | |
| Apr 3, 2015 at 7:01 | comment | added | Vladislavs Dovgalecs | I would say that GP is a more data-driven approach to fitting a non-linear function. The splines are typically restricted to n-th polynomial. The GPs can model more complex functions than polynomials (not 100% sure though). | |
| Apr 3, 2015 at 3:56 | history | asked | ved | CC BY-SA 3.0 |