Atlas · GenAI 2026
Bayesian Statistics
Bayesian inference & probabilistic programming
conceptPeak: 2016Probability & Bayesian MethodsAI consensus: 2/3
Prerequisites
Bayesian inference is built on probability distributions, Bayes' theorem, and likelihood — all of which require probability theory and information theory as prerequisites
Practical statistics (hypothesis testing, estimation) provides the frequentist baseline that Bayesian methods extend and contrast with
Recommended reference
McElreath, R. (2020) Statistical Rethinking, 2nd ed. — best modern intro to applied Bayesian thinking; companion PyMC/Stan code available
Notes from AI deep research
Anthropic Opus
PyMC i Stan daja uncertainty quantification. W GenAI: kalibracja confidence scores, Bayesian optimization hiperparametrow
Google Deep Think
Estymacja rozkładów i modelowanie niepewności [G#2]
Related skills
- → is subcategory of: Statistical Inference(3/3)