Posterior diagnostics gallery

This is a supplementary Python visual guide. It does not change the frozen 59/59 canonical article parity. Every image is generated deterministically from package functions.

Posterior intervals.
plot_posterior_intervals()

Posterior areas.
plot_posterior_areas()

Posterior density.
plot_posterior_density()

Posterior correlations.
plot_posterior_correlations()

MCMC quality inventory.
plot_mcmc_quality()

Interpretation boundary

Visual diagnostics remain descriptive evidence. They do not automatically certify adequacy, exclude observations, or select a model.

Back to the complete plot gallery.