Hierarchical Bayesian estimation

From DDL Wiki

Hierarchical bayesian is an estimation procedure used to estimate coefficients (βs) of behavioral models like mixed logit. Therefore, hierarchical bayesian is not a new behavioral model beside logit and probit, but only an alternative to for example maximum likelihood method.

HB (Hierarchical Bayesian) method has root in the Bayesian probability [1]. However, according to Bermstein-Von Mises Theorem it can be interpreted completely in the classical probability perspective [2].