Learning Bayesian Statistics

Alexandre Andorra

Subscribe in Parasocial

Free on the App Store for iPhone, iPad and Mac. No subscription needed. Once it is installed, tap this link again and the show is yours. Already have it? Open in Parasocial.

About

Are you a researcher or data scientist / analyst / ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is? Then this podcast is for you! You'll hear from researchers and practitioners of all fields about how they use Bayesian statistics, and how in turn YOU can apply these methods in your modeling workflow. When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the methods, the projects and the people who make all that possible. So I created "Learning Bayesian...

Also on

Recent episodes

  • How I built Learn Bayes Stats to the Top 1.5%Oct 28, 2026 · 23 min
  • Can Neural Networks Replace MCMC?Oct 26, 2026 · 4 min
  • #167 Amortized Inference & GPUs for Stan, with Paul-Christian Bürkner & Steve BronderOct 20, 2026 · 1 hr 3 min
  • What Do Kernels, Length Scale & Amplitude Mean in Gaussian Processes?Oct 7, 2026 · 4 min
  • #166 PTGP: A New Gaussian Process Library, with Bill Engels & Jesse GrabowskiOct 1, 2026 · 1 hr 58 min
  • How AI Can Evaluate Bayesian Workflows with BayesifySep 28, 2026 · 5 min
  • #165 Hierarchical Sequential Sampling Modeling, with Alex FenglerSep 18, 2026 · 1 hr 48 min
  • Bayesian Principal Stratification: Modeling Treatment EffectsSep 11, 2026 · 5 min
  • Why a Bayesian Workflow Goes Beyond Fitting ModelsSep 2, 2026 · 4 min
  • #164 Bayesian Workflow, with Andrew Gelman, Aki Vehtari & Richard McElreathAug 31, 2026 · 1 hr 44 min

Website · RSS feed

Learning Bayesian Statistics | Parasocial