I4 Bayesian parameter estimation for a normal model (part 1/2)

Bayesian parameter estimation for a normal model using default prior is presented. Marginal posteriors for the mean and variance are presented. Expectations, densities, and credible intervals for those posterior distributions are discussed.

part 2: https://youtu.be/zAW9MrxuWd4

Probability playlist: https://www.youtube.com/playlist?list=PLFHD4aOUZFp1FxJs9BG5Sbsy6NvCO3Qb1 Statistics playlist: https://www.youtube.com/playlist?list=PLFHD4aOUZFp1PZC6SgtuS-ESq4ti1GEFj

STAT 587: https://www.jarad.me/courses/stat587Eng/ STAT 587 Videos: https://www.jarad.me/courses/stat587Eng/slides/ Slides: https://www.jarad.me/courses/stat587Eng/slides/Inference/I04-Normal_model/I04-Normal_model.pdf

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