<p>Today’s clip is from <a href="https://learnbayesstats.com/" rel="noopener noreferrer" target="_blank">episode 146</a> of the podcast, with Ethan Smith.</p><p>Alex and Ethan discuss the application of Bayesian inference in high energy density physics, particularly in analyzing complex data sets. They highlight the advantages of Bayesian techniques, such as incorporating prior knowledge and managing uncertainties. </p><p>They also shares insights from an ongoing experimental project focused on measuring the equation of state of plasma at extreme pressures. Finally, Alex and Ethan advocate for best practices in managing large codebases and ensuring model reliability.</p><p>Get the full discussion <a href="https://learnbayesstats.com/" rel="noopener noreferrer" target="_blank">here</a>.</p><ul><li><a href="https://topmate.io/alex_andorra/503302" rel="noopener noreferrer" target="_blank">Intro to Bayes Course</a> (first 2 lessons free)</li><li><a href="https://topmate.io/alex_andorra/1011122" rel="noopener noreferrer" target="_blank">Advanced Regression Course</a> (first 2 lessons free)</li></ul><br/><p><em>Our&nbsp;theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and&nbsp;Mega Ran). Check out his </em><a href="https://bababrinkman.com/" rel="noopener noreferrer" target="_blank"><em>awesome work</em></a><em>!</em></p><p>Visit our <a href="https://www.patreon.com/learnbayesstats" rel="noopener noreferrer" target="_blank">Patreon page</a> to unlock exclusive Bayesian swag ;)</p><p>Transcript</p><p class="ql-align-justify"><em>This is an automatic transcript and may therefore contain errors. Please </em><a href="http://twitter.com/LearnBayesStats" rel="noopener noreferrer" target="_blank"><em>get in touch</em></a><em> if you're willing to correct them.</em></p>