https://www.pistack.xyz/tags/probabilistic-programming/ Recent content in Probabilistic-Programming on Pi Stack Hugo en-us Sun, 14 Jun 2026 00:00:00 +0000 https://www.pistack.xyz/posts/2026-06-14-self-hosted-bayesian-inference-pymc-stan-pyro/ Sun, 14 Jun 2026 00:00:00 +0000 https://www.pistack.xyz/posts/2026-06-14-self-hosted-bayesian-inference-pymc-stan-pyro/ <p>Bayesian inference provides a principled framework for reasoning under uncertainty. Unlike traditional frequentist statistics that produce point estimates and p-values, Bayesian methods yield full probability distributions over parameters, naturally quantifying uncertainty in model predictions. Three open-source probabilistic programming frameworks — PyMC, Stan, and Pyro — have emerged as the leading tools for building and fitting Bayesian models. In this guide, we compare them for self-hosted deployment.</p>