Artificial Intelligence · Probabilistic & Bayesian Methods
A topic within Probabilistic & Bayesian Methods, itself one of 9 topics in that field and part of Artificial Intelligence.
2 works
Cameron Davidson-Pilon
Teaches Bayesian inference computation-first, building models directly in PyMC and reading off posteriors by simulation before introducing any of the underlying calculus.
link checked 17 Sept 2026Noah D. Goodman et al.
Extends Lisp with stochastic primitives so a generative probabilistic model is just a program, and defines its semantics by describing inference as sampling from the distribution over program executions conditioned on evidence.
link checked 17 Sept 2026