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Commit 3c3518b2 authored by Philipp Arras's avatar Philipp Arras
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###############################################################################
# Variational Inference (VI)
#
# This script demonstrates how MGVI and GeoVI work for an inference problem
# with only two real quantities of interest. This enables us to plot the
# posterior probability density as two-dimensional plot. The approximate
# posterior samples are contrasted with the maximum-a-posterior (MAP) solution
# together with samples drawn with the Laplace method. This method uses the
# local curvature at the MAP solution as inverse covariance of a Gaussian
# probability density.
# This script demonstrates how MGVI, GeoVI, MeanfieldVI and FullCovarianceVI
# work for an inference problem with only two real quantities of interest. This
# enables us to plot the posterior probability density as two-dimensional plot.
# The approximate posterior samples are contrasted with the maximum-a-posterior
# (MAP) solution together with samples drawn with the Laplace method. This
# method uses the local curvature at the MAP solution as inverse covariance of
# a Gaussian probability density.
###############################################################################
import numpy as np
......
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