BITESIZE | Why Bayesian Stats Matter When the Physics Gets Extreme

Learning Bayesian Statistics

A tartalmat a Alexandre Andorra biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Alexandre Andorra vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

8d ago 19:12

MP3•Epizód kép

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.

Intro to Bayes Course (first 2 lessons free)
Advanced Regression Course (first 2 lessons free)

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Transcript

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181 epizódok

#Tech #Alexandre ANDORRA #Data Science #Science #Podcasting Education