Understanding Lecture 22 Inference For Modeling Data 100 Su19
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- Lecture 22
- And this is where
- Bayesian updating, sampling posterior distributions, computing posterior and prior predictive distributions Course materials: ...
- We discuss transformations of r.v.s (change of variables), the LogNormal distribution, and convolutions (sums). As a bonus, we ...
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