<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.10.0">Jekyll</generator><link href="https://sianjin.github.io/feed.xml" rel="self" type="application/atom+xml" /><link href="https://sianjin.github.io/" rel="alternate" type="text/html" /><updated>2025-08-10T19:23:31+00:00</updated><id>https://sianjin.github.io/feed.xml</id><title type="html">Sian Jin</title><subtitle>Write an awesome description for your new site here. You can edit this line in _config.yml. It will appear in your document head meta (for Google search results) and in your feed.xml site description.</subtitle><author><name>Sian Jin</name></author><entry><title type="html">Cramér-Rao Lower Bound</title><link href="https://sianjin.github.io/blog/post-crlb/" rel="alternate" type="text/html" title="Cramér-Rao Lower Bound" /><published>2025-06-27T19:34:30+00:00</published><updated>2025-06-27T19:34:30+00:00</updated><id>https://sianjin.github.io/blog/post-crlb</id><content type="html" xml:base="https://sianjin.github.io/blog/post-crlb/"><![CDATA[<p>The Cramér-Rao Lower Bound (CRLB) is a fundamental concept in estimation theory, providing a lower bound on the variance of unbiased estimators.</p>

<p>Check out the <a href="https://medium.com/@sianjin.mathworks/cram%C3%A9r-rao-lower-bound-206b526569f6">My Medium on CRLB</a> for more detail.</p>]]></content><author><name>Sian Jin</name></author><category term="blog" /><category term="CRLB" /><category term="Estimation theory" /><summary type="html"><![CDATA[The Cramér-Rao Lower Bound (CRLB) is a fundamental concept in estimation theory, providing a lower bound on the variance of unbiased estimators.]]></summary></entry></feed>