1.0Inverse Problems Research Grouphttps://sites.uef.fi/inverseBayesian Approximation Error Approach - Inverse Problems Research Grouprich600338<blockquote class="wp-embedded-content" data-secret="jmJsnOmrbp"><a href="https://sites.uef.fi/inverse/research-areas/bayesian-approximation-error-approach/">Bayesian Approximation Error Approach</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://sites.uef.fi/inverse/research-areas/bayesian-approximation-error-approach/embed/#?secret=jmJsnOmrbp" width="600" height="338" title="“Bayesian Approximation Error Approach” — Inverse Problems Research Group" data-secret="jmJsnOmrbp" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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Bayesian Approximation Error Approach The Bayesian approximation error (BAE) approach belongs to the class of approximate Bayesian computation, with specific focus on inverse problems. The target is to carry out severe model reduction, to use approximate (physical) models and to neglect the estimation of various uninteresting (distributed) parameters. Inverse problems, by definition, do not tolerate […]