jaxns

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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)

jaxns

jaxns
warnings
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warnings

jaxns.warnings

Module Contents

deprecated(other)[source]

Parameters:: other (Optional[Callable])
Return type:: Callable

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