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BITESIZE | Why Bayesian Stats Matter When the Physics Gets Extreme
Manage episode 522770434 series 2827094
المحتوى المقدم من Alexandre Andorra. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Alexandre Andorra أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
Today’s clip is from episode 146 of the podcast, with Ethan Smith.
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.
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.
Get the full discussion here.
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- Advanced Regression Course (first 2 lessons free)
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Transcript
This is an automatic transcript and may therefore contain errors. Please get in touch if you're willing to correct them.
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