Their website is amazing! It provides all the information I need without any hassle. The support team is responsive and provides great assistance. Definitely recommend Stan to anyone looking for a reliable and efficient company.
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6 Reviews
I have been using Stan's services for a long time now and I can say that they are a trustworthy and reliable company. Their website is intuitive and provides all the necessary information. The support team is always there to assist and provide solutions. Highly recommended!
I had a great experience with Stan. The website is very user-friendly and the information provided is clear and comprehensive. The customer support team was quick to respond to my inquiries and was very helpful. Overall, I am very satisfied with their services.
I am extremely happy with Stan's services. Their website is user-friendly and the information provided is clear and accurate. The support team was prompt in resolving my queries. Highly recommended!
I had a positive experience with the company. The website is user-friendly and the support team was responsive to my queries. They provided timely assistance and made the process smooth. I would definitely recommend their services.
🌟🌟🌟🌟🌟 Stan is an excellent company! Their website is very informative and easy to use. The support team is always available to help with any issues. I'm very satisfied with their services and would highly recommend them. 👍
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About Stan
Stan is a state-of-the-art platform for statistical modeling and high-performance statistical computation. Thousands of users rely on Stan for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business.
Users specify log density functions in Stan’s probabilistic programming language and get:
- full Bayesian statistical inference with MCMC sampling (NUTS, HMC)
- approximate Bayesian inference with variational inference (ADVI)
- penalized maximum likelihood estimation with optimization (L-BFGS)
Stan’s math library provides differentiable probability functions & linear algebra (C++ autodiff). Additional R packages provide expression-based linear modeling, posterior visualization, and leave-one-out cross-validation.
- Website
- mc-stan.org
