Nested Sampling Integration

nested_sampling.nested_integrator.nested_integrator(sampler, tolerance=0.01, max_samples=None)

Sampler

class nested_sampling.nested_sampler.NestedSampler(priortransform, loglikelihood, draw_constrained, ndim=None, nlive_points=200, draw_global_uniform=None)

Bases: object

Samples points, always replacing the worst live point, forever.

This implementation always removes and replaces one point (r=1), and does so linearly (no parallelisation).

This class is implemented as an iterator.