Title: Forks · SMAC-Group/gmwm · GitHub
Open Graph Title: Forks · SMAC-Group/gmwm
X Title: Forks · SMAC-Group/gmwm
Description: Generalized Method of Wavelet Moments (GMWM) is an estimation technique for the parameters of time series models. It uses the wavelet variance in a moment matching approach that makes it particularly suitable for the estimation of certain state-space models. - Forks · SMAC-Group/gmwm
Open Graph Description: Generalized Method of Wavelet Moments (GMWM) is an estimation technique for the parameters of time series models. It uses the wavelet variance in a moment matching approach that makes it particular...
X Description: Generalized Method of Wavelet Moments (GMWM) is an estimation technique for the parameters of time series models. It uses the wavelet variance in a moment matching approach that makes it particular...
Opengraph URL: https://github.com/SMAC-Group/gmwm
X: @github
Domain: github.com
| route-pattern | /:user_id/:repository/forks(.:format) |
| route-controller | forks_forks |
| route-action | index |
| fetch-nonce | v2:686e6f8d-ca4d-5393-0e91-4596afd4c65f |
| current-catalog-service-hash | b4d8436665c5448282b6f4eacc6394e6e8801de97cb226acdca9da20ae59be92 |
| request-id | 9DF2:235B21:2D98051:3B2E348:6992A216 |
| html-safe-nonce | 2672b7d769f2530648484c681bc7944565d8eaa331d455c15be20b52853eb6bb |
| visitor-payload | eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiI5REYyOjIzNUIyMToyRDk4MDUxOjNCMkUzNDg6Njk5MkEyMTYiLCJ2aXNpdG9yX2lkIjoiNjI1MjAyMDM3NjU2MzUyNDExOCIsInJlZ2lvbl9lZGdlIjoiaWFkIiwicmVnaW9uX3JlbmRlciI6ImlhZCJ9 |
| visitor-hmac | 515006a79e14710cd3acb2d5a4b5bbd925593acec24dffc295fcb92f51c05537 |
| hovercard-subject-tag | repository:26869159 |
| github-keyboard-shortcuts | repository,copilot |
| google-site-verification | Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I |
| octolytics-url | https://collector.github.com/github/collect |
| analytics-location | / |
| fb:app_id | 1401488693436528 |
| apple-itunes-app | app-id=1477376905, app-argument=https://github.com/SMAC-Group/gmwm/forks |
| twitter:image | https://opengraph.githubassets.com/ed75f319b41a9699223a8c005f731b6733fe7369e734d4297af47fa0495226e2/SMAC-Group/gmwm |
| twitter:card | summary_large_image |
| og:image | https://opengraph.githubassets.com/ed75f319b41a9699223a8c005f731b6733fe7369e734d4297af47fa0495226e2/SMAC-Group/gmwm |
| og:image:alt | Generalized Method of Wavelet Moments (GMWM) is an estimation technique for the parameters of time series models. It uses the wavelet variance in a moment matching approach that makes it particular... |
| og:image:width | 1200 |
| og:image:height | 600 |
| og:site_name | GitHub |
| og:type | object |
| hostname | github.com |
| expected-hostname | github.com |
| None | 42c603b9d642c4a9065a51770f75e5e27132fef0e858607f5c9cb7e422831a7b |
| turbo-cache-control | no-preview |
| go-import | github.com/SMAC-Group/gmwm git https://github.com/SMAC-Group/gmwm.git |
| octolytics-dimension-user_id | 9849345 |
| octolytics-dimension-user_login | SMAC-Group |
| octolytics-dimension-repository_id | 26869159 |
| octolytics-dimension-repository_nwo | SMAC-Group/gmwm |
| octolytics-dimension-repository_public | true |
| octolytics-dimension-repository_is_fork | false |
| octolytics-dimension-repository_network_root_id | 26869159 |
| octolytics-dimension-repository_network_root_nwo | SMAC-Group/gmwm |
| turbo-body-classes | logged-out env-production page-responsive |
| disable-turbo | false |
| browser-stats-url | https://api.github.com/_private/browser/stats |
| browser-errors-url | https://api.github.com/_private/browser/errors |
| release | 848bc6032dcc93a9a7301dcc3f379a72ba13b96e |
| ui-target | full |
| theme-color | #1e2327 |
| color-scheme | light dark |
Links:
Viewport: width=device-width