#146 Lasers, Planets, and Bayesian Inference, with Ethan Smith

Proudly sponsored by PyMC Labs , the Bayesian Consultancy. Book a call , or get in touch ! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work ! Visit our Patreon page to unlock exclusive Bayesian swag ;) Takeaways: Ethan's research involves using lasers to compress matter to extreme conditions to study astrophysical phenomena. Bayesian inference is a key tool in analyzing complex data from high energy density experiments. The future of high energy density physics lies in developing new diagnostic technologies and increasing experimental scale. High energy density physics can provide insights into planetary science and astrophysics. Emerging technologies in diagnostics are set to revolutionize the field. Ethan's dream project involves exploring picno nuclear fusion. Chapters : 14:31 Understanding High Energy Density Physics and Plasma Spectroscopy 21:24 Challenges in Data Analysis and Experimentation 36:11 The Role of Bayesian Inference in High Energy Density Physics 47:17 Transitioning to Advanced Sampling Techniques 51:35 Best Practices in Model Development 55:30 Evaluating Model Performance 01:02:10 The Role of High Energy Density Physics 01:11:15 Innovations in Diagnostic Technologies 01:22:51 Future Directions in Experimental Physics 01:26:08 Advice for Aspiring Scientists Thank you to my Patrons for making this episode possible! Yusuke Saito, Avi Bryant, Giuliano Cruz, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Aubrey Clayton, Omri Har Shemesh, Scott Anthony Robson, Robert Yolken, Or Duek, Pavel Dusek, Paul Cox, Andreas Kröpelin, Raphaël R, Nicolas Rode, Gabriel Stechschulte, Arkady,

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#146 Lasers, Planets, and Bayesian Inference, with Ethan Smith is an episode from Learning Bayesian Statistics by Alexandre ANDORRA.

This episode is 01:35:19 long.

This episode was published on Nov 27, 2025.

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