AI - Stan
Trusted platform for statistical modeling and high-performance computational statistics, offering a versatile probabilistic programming language and interfacing with various data analysis languages.
- Name
- Stan -https://mc-stan.org/
- Last Audited At
About Stan
Stan is a leading platform for statistical modeling and high-performance computational statistics. Thousands of users from various fields, including the social, biological, and physical sciences, engineering, and business, trust Stan for their data analysis and prediction needs. The company offers a state-of-the-art probabilistic programming language that allows users to specify log density functions. They can then fit these models to their data using a range of methods: full Bayesian statistical inference with Markov Chain Monte Carlo sampling (NUTS, HMC), approximate Bayesian inference with variational inference (ADVI), and penalized maximum likelihood estimation with optimization (L-BFGS).
Stan's robust math library includes differentiable probability functions and linear algebra (C++ autodiff) to ensure efficient computations. Additionally, R packages provide users with expression-based linear modeling, posterior visualization, and leave-one-out cross-validation tools for further analysis. Stan interfaces with multiple data analysis languages, including R, Python, shell, MATLAB, Julia, and Stata, making it a versatile solution for diverse user communities. It supports all major platforms, such as Linux, Mac, and Windows.
To get started with Stan, users can refer to the Installation and Documentation pages on their website. Users can follow Stan's progress by visiting their Mastodon, Twitter, GitHub, or YouTube channels for the latest updates and news.
