<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bayesian Inference | J. Andrew Casey-Clyde</title><link>https://jacaseyclyde.github.io/tags/bayesian-inference/</link><atom:link href="https://jacaseyclyde.github.io/tags/bayesian-inference/index.xml" rel="self" type="application/rss+xml"/><description>Bayesian Inference</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Aug 2019 00:00:00 +0000</lastBuildDate><image><url>https://jacaseyclyde.github.io/media/icon_hu13068158549209708524.png</url><title>Bayesian Inference</title><link>https://jacaseyclyde.github.io/tags/bayesian-inference/</link></image><item><title>The NANOGrav 15 yr Data Set: Looking for Signs of Discreteness in the Gravitational-wave Background</title><link>https://jacaseyclyde.github.io/project/discreteness/</link><pubDate>Thu, 01 Aug 2019 00:00:00 +0000</pubDate><guid>https://jacaseyclyde.github.io/project/discreteness/</guid><description>&lt;p>🚀 &lt;strong>Unlocking the Secrets of Gravitational Waves&lt;/strong> 🌌&lt;/p>
&lt;p>As project lead for a collaboration of over 100 scientists, I investigated how patterns in gravitational waves—the ripples in space-time caused by merging supermassive black holes—can reveal new insights about the Universe. Using data from the NANOGrav 15-year dataset, I built models to detect unexpected signals and studied how individual black hole pairs contribute to the larger wave background.&lt;/p>
&lt;p>📊 &lt;strong>Key Outcomes:&lt;/strong>&lt;/p>
&lt;ul>
&lt;li>Identified subtle deviations in wave patterns, possibly linked to individual black hole mergers.&lt;/li>
&lt;li>Discovered a frequency range where signals from individual events or early-Universe phenomena could emerge.&lt;/li>
&lt;li>Published our findings in a &lt;strong>top-tier journal&lt;/strong>, highlighting their significance to the field.&lt;/li>
&lt;/ul>
&lt;p>💡 &lt;strong>Relevance for Industry:&lt;/strong>
This project showcases my ability to transform complex, noisy datasets into meaningful insights—skills directly applicable to AI, machine learning, and predictive modeling challenges in industry.&lt;/p>
&lt;p>Let’s connect to explore how advanced data science can drive innovation in your field! 🌟&lt;/p></description></item></channel></rss>