AUEB-Stats Cast - ΑUEB-Stats Podcast Series: "AUEB-AI-POP-STATS" - Ep.2: "Popular Stats for Bayesian Explorations: On the identifiability of Bayesian factor analytic models"

Our second AI-generated Podcast (generated by NotebookLM), using the Paper “On the identifiability of Bayesian factor analytic models”, by Panagiotis Papastamoulis and Ioannis Ntzoufras, is now live, on our AUEB-Stats Cast Channel!

Have a listen - we really hope you like it!

Spotify: https://open.spotify.com/episode/1hMkTol02Q8Nnzod4Yl7O1?si=b2c0f75ad32845ab

️Spotify for Podcasters:
https://creators.spotify.com/pod/show/aueb-stats-cast9/episodes/Ep--2-Popular-Stats-for-Bayesian-Explorations-On-the-Identifiability-of-Bayesian-Factor-Analytic-Models-e2scnvb

TikTok:  https://www.tiktok.com/@auebstats/video/7449019977572650262

All of our Podcasts may also be found here: https://www.dept.aueb.gr/el/stat/content/aueb-stats-cast

Read the full Paper here: https://link.springer.com/article/10.1007/s11222-022-10084-4

Thank you for tuning in - Enjoy!

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