prior_sensitivity

validation.prior_sensitivity(
    Yc_obs,
    spatial_W,
    spatial_w,
    alpha,
    grid,
    *,
    X=None,
    p=0,
    m_burn=5000,
    m_keep=20000,
    thin=1,
    base_seed=1000,
    kernel='simple',
)

Re-run the Step-2 posterior across a grid of prior settings.

Parameters

Name	Type	Description	Default
Yc_obs	as in :func:run_posterior_mcmc		required
spatial_W	as in :func:run_posterior_mcmc		required
spatial_w	as in :func:run_posterior_mcmc		required
alpha	as in :func:run_posterior_mcmc		required
X	as in :func:run_posterior_mcmc		required
p	as in :func:run_posterior_mcmc		required
grid	pd.DataFrame	One row per setting with columns a0, b0, rho_lo, rho_hi, step_rho (the replication package’s grid layout).	required
m_burn	int	MCMC budget shared by every row.	5000
m_keep	int	MCMC budget shared by every row.	5000
thin	int	MCMC budget shared by every row.	5000
base_seed	int	Row i uses seed base_seed + i.	1000
kernel	('simple', 'production')		"simple"

Returns

Name	Type	Description
	PriorSensitivityResult	The grid-joined posterior summaries and the per-row runs.