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:    • I4 Bayesian parameter estimation in the no...   Probability playlist:    • STAT 587 - Probability   Statistics playlist:    • STAT 587 - Inference   STAT 587: https://www.jarad.me/courses/stat587Eng/ STAT 587 Videos: https://www.jarad.me/courses/stat587E... Slides: https://www.jarad.me/courses/stat587E... Amazon affiliate links to props: Tetris light: https://amzn.to/3g8BXde Galton Board: https://amzn.to/3gUdLfa Jumbo penny: https://amzn.to/3g8BXde Jumbo quarter: ?? DCI Science Quiz Wal Clock: https://amzn.to/3g8BXde Foam dice: https://amzn.to/3g8BXde TIX LED Clock: https://www.geekalerts.com/tix-led-cl... Bicycle Playing Cards: https://amzn.to/2E36Na8 Recording in progress door hang sign: https://amzn.to/3la32Av