Stan Insights | Sumble

What is Stan?

Stan is a probabilistic programming language and a high-performance statistical computation platform. It is used for Bayesian statistical modeling, data analysis, and prediction. Stan provides a full range of statistical computing tools, including Hamiltonian Monte Carlo (HMC) sampling, optimization, and variational inference. It's commonly used in fields like epidemiology, ecology, psychology, and econometrics for building complex statistical models.

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What other technologies are related to Stan?

Stan Competitor Technologies

PyMC3

PyMC3 is a probabilistic programming framework that, like Stan, allows users to define Bayesian models and perform inference. It is a direct competitor in the Bayesian modeling space.

mentioned alongside Stan in 39% (130) of relevant job posts

JAGS

JAGS (Just Another Gibbs Sampler) is another engine for Bayesian inference using Markov Chain Monte Carlo (MCMC). It's a competitor to Stan for Bayesian modeling.

mentioned alongside Stan in 62% (81) of relevant job posts

Pyro

Pyro is a probabilistic programming library built on PyTorch. It offers an alternative approach to Bayesian modeling and inference, making it a competitor to Stan.

mentioned alongside Stan in 29% (84) of relevant job posts

PyMC

PyMC is a probabilistic programming framework for Bayesian statistical modeling and probabilistic machine learning focusing on advanced Markov Chain Monte Carlo and variational inference algorithms. It is a competitor in the Bayesian modeling space.

mentioned alongside Stan in 24% (85) of relevant job posts

NONMEM

NONMEM is a tool used heavily in pharmacometrics. It is a competitor in that space.

mentioned alongside Stan in 5% (94) of relevant job posts

Monolix

Monolix is a software suite for pharmacometrics modelling and simulation, used to study the variability in the model parameters of drug kinetics or drug effects, and is thus a competitor in the pharmacometrics space.

mentioned alongside Stan in 6% (51) of relevant job posts

Stan Complementary Technologies

Julia

Julia is a programming language which is sometimes used with Stan. It can serve as a complementary technology.

mentioned alongside Stan in 1% (90) of relevant job posts

R

R is a statistical computing language and environment. Stan has interfaces for R, making them complementary technologies for statistical modeling and analysis.

mentioned alongside Stan in 0% (587) of relevant job posts

SciPy

SciPy is a Python library for scientific computing. While Stan can be used independently, SciPy can be used for pre- and post-processing of data used with Stan, making it a complementary technology.

mentioned alongside Stan in 1% (105) of relevant job posts