[7. Statistical Estimation] 7.4 The Beta and Dirichlet Distributions
This series [Probability] closely follows Stanford University's CS 109 (Probability for Computer Scientists), and University of Washington's CSE 312 (Foundations of Computing II) lecture schedule. The expected prerequisites are college calculus (including some multivariable calculus such as gradients and multiple integrals), and some introduction to proofs and discrete math. This 5-minute video covers the following topics: 1. The Beta Random Variable 2. The Dirichlet Random Vector
![[7. Statistical Estimation] 7.5 Maximum a Posteriori Estimation](https://i.ytimg.com/vi/RVWfbOHCalM/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLDDtVhTLmbQ0qST02mj8N2orsPOvQ)
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[7. Statistical Estimation] 7.5 Maximum a Posteriori Estimation

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