https://github.com/ff1201/ff1201
Science Score: 23.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.2%) to scientific vocabulary
Last synced: 8 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: ff1201
- Default Branch: main
- Size: 2.93 KB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed about 1 year ago
Metadata Files
Readme
README.md
Hi, I'm Fabio
I am a Statistics and Machine Learning PhD student on the StatML programme.
My research focuses on high-dimensional statistics method development, with applications in genetics and finance: - Dual feature reduction for the sparse-group lasso and its adaptive variant (2024) . - Strong screening rules for group-based SLOPE models (2024). - Sparse-group SLOPE: adaptive bi-level selection with FDR-control (2023) .
You can find my two R packages on my GitHub: - Repository for the dfr R package, which fits the sparse-group lasso using Dual Feature Reduction (DFR) . - Repository for the sgs R package, which fits the sparse-group SLOPE and group SLOPE models .
Owner
- Name: Fabio Feser
- Login: ff1201
- Kind: user
- Location: London, UK
- Company: Imperial College London
- Website: www.imperial.ac.uk/people/fabio.feser20
- Repositories: 1
- Profile: https://github.com/ff1201
PhD student on the StatML programme at Imperial & Oxford
GitHub Events
Total
- Watch event: 1
- Push event: 1
Last Year
- Watch event: 1
- Push event: 1