Statements (62)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
software
|
| gptkbp:archives |
https://github.com/stan-dev/pystan
|
| gptkbp:basedOn |
Stan
|
| gptkbp:communitySupport |
Active community
|
| gptkbp:dependency |
gptkb:Matplotlib
gptkb:Pandas NumPy SciPy Cython |
| gptkbp:developedBy |
gptkb:Stan_Development_Team
|
| gptkbp:firstPublished |
2013
2.19.1 |
| gptkbp:hasVersion |
2.19.1
|
| gptkbp:historicalSignificance |
https://pystan.readthedocs.io
|
| https://www.w3.org/2000/01/rdf-schema#label |
PyStan
|
| gptkbp:installation |
pip
|
| gptkbp:language |
Python
|
| gptkbp:license |
MIT License
|
| gptkbp:platforms |
Cross-platform
|
| gptkbp:provides |
optimization algorithms
variational inference sampling algorithms interface_to_Stan |
| gptkbp:publishedIn |
gptkb:C++
|
| gptkbp:relatedPatent |
Machine learning
Time series analysis Generalized linear models Hierarchical models Bayesian regression |
| gptkbp:relatedTo |
Bayesian statistics
Data analysis Markov Chain Monte Carlo Statistical computing Probabilistic programming |
| gptkbp:releaseDate |
2019-01-15
|
| gptkbp:supports |
Bayesian inference
decision making engineering applications business intelligence data visualization education research financial modeling scientific research predictive modeling policy analysis hypothesis testing parameter estimation posterior predictive checks model validation social science research sports analytics environmental modeling sensitivity analysis custom distributions model diagnostics marketing analytics model comparison modeling complex data posterior analysis healthcare_analytics |
| gptkbp:usedFor |
statistical modeling
|
| gptkbp:uses |
Stan_language
|