evaluate_logpostpdf: Evaluate posterior density function

In gschnabel/nucdataBaynet: Bayesian networks for nuclear data evaluation

Evaluate posterior density function

Description

Evaluate the posterior density function for a given vector of independent variables.

Usage

evaluate_logpostpdf(map, zprior, U, obs, zref)

Arguments

map	Mapping object. Usually a compound map, see create_compound_map
zprior	Vector of prior estimates of the independent variables (i.e., associated with nodes without parent nodes)
U	Prior covariance matrix of the independent variables
obs	Vector with observed values of dependent nodes. Must be of same size as zprior. An NA value in this vector means that the corresponding variable was not observed.
zref	Vector with values of independent variables used as reference vector in Taylor expansion. The posterior pdf is also evaluated exactly at this point.

Value

Return a list with the following elements:

val	Value of the posterior probability density function evaluated at zref
jac	Gradient of the posteroir probability density function evaluated at zref

gschnabel/nucdataBaynet documentation built on Feb. 3, 2023, 4:13 a.m.