EntropyMCMC (version 1.0.4)

normEntropy: Theoretical value of the entropy for the multivariate gaussian

Description

This function computes the entropy \(E_{f} [\log(f)]\) of the density of the multivariate gaussian, with parameters in a list, as it is the case for MCMC target density parameters. This function is used mostly for benchmarking entropy estimation performed by the package (using, e.g., the iid algorithm IID_norm).

Usage

normEntropy(target_param)

Arguments

target_param

A list of two elements: the mean target_param$mean and the covariance matrix target_param$v.

Value

The entropy of the Gaussian with these parameters.

Examples

# NOT RUN {
d=2 # model dimension
mu=rep(0,d); v = diag(d) # mean and variance
target_param = list(mean=mu, v=v) # parameters
normEntropy(target_param) # the entropy
# }