Bayesian inference is a statistical method that uses Bayes' theorem to update the probability of a hypothesis as more evidence becomes available. It is used in a wide range of activities and is closely related to subjective probability. It is also important in dynamic analysis of data sequences.
Stanford University
Winter 2023
An in-depth study of probabilistic graphical models, combining graph and probability theory. Equips students with the skills to design, implement, and apply these models to solve real-world problems. Discusses Bayesian networks, exact and approximate inference methods, etc.
No concepts data
+ 14 more concepts