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<oembed><version>1.0</version><provider_name>Glosarix</provider_name><provider_url>https://glosarix.com/en/</provider_url><author_name>Team Glosarix</author_name><author_url>https://glosarix.com/en/author/adm_glosarix/</author_url><title>Approximate Bayesian Computation - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="eZ8Eu4bs7o"&gt;&lt;a href="https://glosarix.com/en/glossary/approximate-bayesian-computation-en/"&gt;Approximate Bayesian Computation&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/approximate-bayesian-computation-en/embed/#?secret=eZ8Eu4bs7o" width="600" height="338" title="&#x201C;Approximate Bayesian Computation&#x201D; &#x2014; Glosarix" data-secret="eZ8Eu4bs7o" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Description: Approximate Bayesian Computation is an approach that allows for Bayesian inference without the need to compute the complete likelihood of the data. This method is particularly useful in situations where the likelihood is complex or computationally expensive to evaluate. Instead of relying on the exact likelihood, approximate Bayesian computation uses techniques such as Monte [&hellip;]</description></oembed>
