BilbyMCMCSampler

class BilbyMCMCSampler(convergence_inputs, proposal_cycle=None, beta=1, Tindex=0, Eindex=0, use_ratio=False, initial_sample_method='prior', initial_sample_dict=None, normalize_prior=True)

Bases: object

__init__(convergence_inputs, proposal_cycle=None, beta=1, Tindex=0, Eindex=0, use_ratio=False, initial_sample_method='prior', initial_sample_dict=None, normalize_prior=True)

__call__(*args, **kwargs)

Call self as a function.

Methods

__init__(convergence_inputs[, ...])
accept_proposal(prop, proposal)
log_likelihood(sample)
log_prior(sample)
reject_proposal(curr, proposal)
rejection_sample_zero_temperature_samples([...])
set_convergence_inputs(convergence_inputs)
step()

Attributes

acceptance_ratio
nsamples
samples