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Statsmodels: Econometric and Statistical Modeling with Python
Open accessAbstract
Statsmodels is a library for statistical and econometric analysis in Python.This paper discusses the current relationship between statistics and Python and open source more generally, outlining how the statsmodels package fills a gap in this relationship.An overview of statsmodels is provided, including a discussion of the overarching design and philosophy, what can be found in the package, and some usage examples.The paper concludes with a look at what the future holds.
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Cited by
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Metadata
- Authors
- Seabold, S., & Perktold, J.
- Venue
- Proceedings of the Python in Science Conference
- Publisher
- SciPy
- Published
- 2010
- Pages
- 92-96
- ISSN
- 2575-9752 (ISSN-L)
- OpenAlex
- W2181523240
- Cited by
- 6,465
- References
- 0
- FWCI
- 1.04
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
