Examine distribution estimation of univariates
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- Dominant language
- Python
- Stars
- 176
- Forks
- 40
- PR merge metrics
- No merged PRs in 30d
Description
- BTB version: 0.3.12
Description
Examine distribution estimation of univariates when using copulas due to small sample size.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file, test, or entry point is named. Start by locating the copula code that estimates univariate distributions, then examine its behavior with small samples and identify the expected result; the work is done when the estimation issue is characterized and the project has an agreed, tested resolution.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100