Commit 3c3518b2 by Philipp Arras

### Update description

parent 6b98ae93
 ... @@ -19,13 +19,13 @@ ... @@ -19,13 +19,13 @@ ############################################################################### ############################################################################### # Variational Inference (VI) # Variational Inference (VI) # # # This script demonstrates how MGVI and GeoVI work for an inference problem # This script demonstrates how MGVI, GeoVI, MeanfieldVI and FullCovarianceVI # with only two real quantities of interest. This enables us to plot the # work for an inference problem with only two real quantities of interest. This # posterior probability density as two-dimensional plot. The approximate # enables us to plot the posterior probability density as two-dimensional plot. # posterior samples are contrasted with the maximum-a-posterior (MAP) solution # The approximate posterior samples are contrasted with the maximum-a-posterior # together with samples drawn with the Laplace method. This method uses the # (MAP) solution together with samples drawn with the Laplace method. This # local curvature at the MAP solution as inverse covariance of a Gaussian # method uses the local curvature at the MAP solution as inverse covariance of # probability density. # a Gaussian probability density. ############################################################################### ############################################################################### import numpy as np import numpy as np ... ...
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