slice_sampler

aquila_borg.samplers.slice_sampler(state: aquila_borg._borg.likelihood.MarkovState, callback: object, previous_value: float, step: float) → float

Basic slice_sampler implementation.

This implements a slice sampler without rescaling of the stepper.

Parameters

• state (MarkovState) – A markov state with an initialized random number generation

• callback (callable) – A callable object, typically a lambda function or a function with one argument

• previous_value (float) – Previous value of the slice sampler chain

• step (float) – Step to progress through the posterior

Returns

new position

Return type

float