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Stan: A probabilistic programming language for Bayesian inference and
optimization
Andrew GelmanDaniel LeeJiqiang Guo6 Aug 2015Abstract
Stan is a free and open source C++ program that performs Bayesian
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What is stan a probabilistic programming?
Stan is a probabilistic programming language used for statistical modeling and high-performance statistical computation.
Who is required to file stan a probabilistic programming?
Researchers, statisticians, data scientists, and anyone interested in Bayesian inference and hierarchical modeling may use Stan for their projects.
How to fill out stan a probabilistic programming?
Stan code is written in a specialized language specifically designed for probabilistic modeling. Users define their model, data, and parameters in the Stan language and then use a software interface (such as R or Python) to compile and run the code.
What is the purpose of stan a probabilistic programming?
The purpose of Stan is to provide a flexible and efficient framework for Bayesian statistical analysis, allowing users to build complex probabilistic models and draw inferences from data.
What information must be reported on stan a probabilistic programming?
Users must provide details about their model structure, prior distributions, likelihood functions, data inputs, and any other relevant information necessary for the analysis.
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