neighbayes.models.priors.ReducedGibbsPriors¶

class neighbayes.models.priors.ReducedGibbsPriors(beta_mu=0.0, beta_sigma=1000000.0, alpha_sigma=2.5, alpha_nu=3.0, rho_lower=-0.999, rho_upper=0.999)[source]¶

Prior hyperparameters for the reduced-form SAR-NB sampler.

Notes

The sigma2_* fields present on the structural-form GibbsPriors are intentionally absent — this sampler has no \(\sigma\) parameter.

__init__(beta_mu=0.0, beta_sigma=1000000.0, alpha_sigma=2.5, alpha_nu=3.0, rho_lower=-0.999, rho_upper=0.999)[source]¶

Methods

`__init__`([beta_mu, beta_sigma, alpha_sigma, ...])

Attributes