Statements (55)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
ecosystem
|
| gptkbp:compatibleWith |
gptkb:Jupyter_Notebooks
Docker Shiny |
| gptkbp:documentedIn |
mc-stan.org
|
| gptkbp:first_held |
2012
|
| gptkbp:has_a |
users
developers researchers |
| gptkbp:has_a_focus_on |
Bayesian statistics
modeling complex systems latent variable models hierarchical models |
| https://www.w3.org/2000/01/rdf-schema#label |
Stan ecosystem
|
| gptkbp:includes |
gptkb:CmdStan
gptkb:PyStan Stan RStan |
| gptkbp:influenced |
Markov Chain Monte Carlo
probabilistic graphical models Bayesian data analysis |
| gptkbp:is_a_source_of |
true
|
| gptkbp:is_available_in |
GitHub
|
| gptkbp:is_known_for |
flexibility
accuracy speed |
| gptkbp:is_part_of |
statistical software
machine learning frameworks data science tools |
| gptkbp:is_recognized_for |
data scientists
research institutions statisticians |
| gptkbp:is_supported_by |
gptkb:Stan_Forums
gptkb:Stan_GitHub_repository StanCon |
| gptkbp:is_used_in |
data analysis
decision making machine learning academic research risk assessment industry applications forecasting statistical computing |
| gptkbp:license |
BSD License
|
| gptkbp:produces |
gptkb:Stan_Development_Team
|
| gptkbp:provides |
Bayesian inference
statistical modeling probabilistic programming |
| gptkbp:supports |
optimization
MCMC sampling variational inference |
| gptkbp:user_interface |
Python
R Matlab |
| gptkbp:wrote |
gptkb:C++
|