Boosted_hp_filter
Functions and replication files for Peter Phillips and Zhentao Shi (2021): "Boosting: Why You Can Use the HP Filter"
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Gsoc17 Hhmm | 73 | 5 years ago | 5 | cc-by-sa-4.0 | HTML | |||||
| Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017. | ||||||||||
| Urb Studies Predicting Gentrification | 27 | 5 years ago | mit | Jupyter Notebook | ||||||
| This repo is intended to support replication and exploration of the analysis undertaken for our Urban Studies article "Understanding urban gentrification through Machine Learning: Predicting neighbourhood change in London". | ||||||||||
| Boosted_hp_filter | 17 | a year ago | mit | HTML | ||||||
| Functions and replication files for Peter Phillips and Zhentao Shi (2021): "Boosting: Why You Can Use the HP Filter" | ||||||||||
| Minimalist Location Metonymy Resolution | 9 | 6 years ago | gpl-3.0 | Python | ||||||
| The code and data accompanying the ACL 2017 "outstanding award" publication "Vancouver Welcomes You! Minimalist Location Metonymy Resolution" | ||||||||||
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