iscc.inference.Posterior dataclass

Posterior(names: list, samples: ndarray, rejection_samples: ndarray, rf_estimate: ndarray, all_theta: ndarray = None, all_summaries: ndarray = None, distances: ndarray = None)

Result of an ABC run. samples is the (regression-adjusted) posterior.

Methods:

Name	Description
map	Per-parameter MAP via a 1-D Gaussian-KDE mode of the posterior marginal.
credible_interval	Per-parameter equal-tailed credible interval -> (lo, hi) arrays.

map

map()

Per-parameter MAP via a 1-D Gaussian-KDE mode of the posterior marginal.

credible_interval

credible_interval(level=0.9)

Per-parameter equal-tailed credible interval -> (lo, hi) arrays.