šŸŒ US-Proxy
class="nav-fixed fullcontent">

Stan: Software for Bayesian Data Analysis

Bayesian Modeling

Stan enables sophisticated statistical modeling using Bayesian inference, allowing for more accurate and interpretable results in complex data scenarios.

Flexible and Scalable

Stanā€™s probabilistic programming language is suitable for a wide range of applications, from simple linear regression to multi-level models and time-series analysis.

Multi-Language, Cross-Platform Toolkit

Interfaces for Python, Julia, R, and the Unix shell make it easy to use Stan in any programming environment, on laptops, clusters, or in the cloud. A rich ecosystem of tools for validation and visualization support decision-making and communication.

bernoulli.stan
data {
  int<lower=0> N;
  array[N] int<lower=0, upper=1> y;
}
parameters {
  real<lower=0, upper=1> theta;
}
model {
  // uniform prior on interval 0,1
  theta ~ beta(1, 1);
  y ~ bernoulli(theta);
}

Get Started

Community Resources

Developer Resources