This course equips learners with the theoretical knowledge and computational skills needed to implement modern Bayesian statistical methods in real-world settings. By completing the course, learners ...
Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...
On Friday the 24th of April 2026, M.Eng. Shanshan Zhang defends her PhD thesis on Understanding Uncertainty in Mental Inference with Bayesian Computational Rationality. The thesis is related to ...
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