Tensiometer

tensiometer is a python package to test the level of agreement/disagreement between different posterior distributions.

In order to do so the package contains a set of tools implementing machine learning methods to boost classic statistical inference.

The code is distributed under GNU-GPL license at github.

The best place to start is by looking at the worked examples below.

Examples

• Normalizing flow models for posterior distributions
• Tension between two Gaussian posteriors
• Tension between two non-Gaussian posteriors
• Posterior profiles
• Measured parameters
• Quantify convergence of chains

These example notebooks contain a discussion of the core functionalities of the code. All are illustrated with physics examples.

Modules documentation

• tensiometer.synthetic_probability
• tensiometer.mcmc_tension
• tensiometer.gaussian_tension
• tensiometer.chains_convergence
• tensiometer.utilities
• tensiometer.interfaces

Full documentation for the modules.

• Index