<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Biomedical Data Science | Academic</title><link>https://mnrzrad.github.io/tag/biomedical-data-science/</link><atom:link href="https://mnrzrad.github.io/tag/biomedical-data-science/index.xml" rel="self" type="application/rss+xml"/><description>Biomedical Data Science</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 06 Oct 2026 13:30:00 +0000</lastBuildDate><image><url>https://mnrzrad.github.io/media/icon_hu1dd3ce1ab7323f386847824dfdb70d25_14995_512x512_fill_lanczos_center_3.png</url><title>Biomedical Data Science</title><link>https://mnrzrad.github.io/tag/biomedical-data-science/</link></image><item><title>Reliable Variable Selection for Biomedical Data Science: From Shrinkage Estimation to Interpretable Learning</title><link>https://mnrzrad.github.io/talk/reliable-variable-selection-for-biomedical-data-science-from-shrinkage-estimation-to-interpretable-learning/</link><pubDate>Tue, 06 Oct 2026 13:30:00 +0000</pubDate><guid>https://mnrzrad.github.io/talk/reliable-variable-selection-for-biomedical-data-science-from-shrinkage-estimation-to-interpretable-learning/</guid><description>&lt;p>Many thanks to the &lt;strong>Bernoulli Society for Mathematical Statistics and Probability&lt;/strong> for selecting and sponsoring this session, to the session chair &lt;strong>Chiara Orsini&lt;/strong>, and to the IDWSDS organisers.&lt;/p>
&lt;p>The slides are interactive: use the arrow keys to move between slides, &lt;strong>N&lt;/strong> to show speaker notes and &lt;strong>F&lt;/strong> for full screen.&lt;/p>
&lt;p>&lt;a href="https://mnrzrad.github.io/talks/idwsds2026/">Open the interactive slides&lt;/a>&lt;/p></description></item></channel></rss>