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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>Multivariate Gaussian Model - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="Z1LGUor9FT"&gt;&lt;a href="https://glosarix.com/en/glossary/multivariate-gaussian-model-en/"&gt;Multivariate Gaussian Model&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/multivariate-gaussian-model-en/embed/#?secret=Z1LGUor9FT" width="600" height="338" title="&#x201C;Multivariate Gaussian Model&#x201D; &#x2014; Glosarix" data-secret="Z1LGUor9FT" 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: The Multivariate Gaussian Model is an extension of the univariate normal distribution that allows modeling multiple random variables that may be correlated with each other. This model is characterized by its ability to describe the joint relationship of a set of variables through a vector of means and a covariance matrix. In simple terms, [&hellip;]</description></oembed>
