Best Alternatives for JAGS proposed by Free AI models
JAGS
JAGS (Just Another Gibbs Sampler) is a program for analysis of Bayesian models using Markov Chain Monte Carlo (MCMC) simulation.
Price: Free
Best Alternatives for JAGS proposed by Free AI models
MC Stan is a probabilistic programming language for statistical inference.
Price: Free
Pros:
Cons:
Developer Tools
Data Analysis
Data Science And Machine Learning
Statistics
Data Science
PyMC3 is a Python library for probabilistic programming implementing Markov chain Monte Carlo (MCMC) algorithms.
Price: Free
Pros:
- Python ecosystem integration
- Intuitive syntax
Cons:
- Limited support for complex models
- Slower performance compared to C++ libraries
TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow.
Price: Free
Pros:
- Seamless integration with TensorFlow
- Scalable for large datasets
Cons:
- Requires knowledge of TensorFlow ecosystem
- Less user-friendly than high-level libraries