jaxns

User Guide

  • Installation
  • Change Log

API Reference

  • jaxns

Examples

  • Inference of Jones scalars observables (noisy angular quantities)
  • Lennard-Jones Potentials for modelling phase transitions in materials
  • Constant Likelihood
  • Dual Moons likelihood
  • Efficient parameter estimation
  • First the normal nested sampler (parameter_estimation=False)
  • Now with parameter estimation enabled
  • Egg-box Likelihood with Uniform Prior
  • Poisson likelihood and Gamma prior
  • Gaussian processes with outliers
  • Thin Gaussian Shells with Uniform Prior
  • Using JAXNS to globally optimise Neural Networks
  • Gradient Guided
  • Multivariate Normal Likelihood with Multivariate Normal Prior
  • OU process
  • Self-Exciting process (Hawkes process)
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