This got me thinking, just how good is Cassandra Brown? What a great chance to use some real data in a toy example. Journal of Statistics Education, 12 2 , Bayesian inference allows many rules for prior construction. See this previous post for details. A neat thing about bayesian updating is that after batch 1 is added to the initial prior, its posterior is used as the prior for the next batch of data. My takeaway from these posteriors is that Cassandra Brown has a pretty damn good 3-point shot! So the posterior formula can be rewritten as: Psychological Review, 3 , These are but three possible priors one could use.

# Bayesian updating uniform distribution. Understanding Bayes: Updating priors via the likelihood.

This got me thinking, just how good is Cassandra Brown? What a great chance to use some real data in a toy example. Journal of Statistics Education, 12 2 , Bayesian inference allows many rules for prior construction. See this previous post for details. A neat thing about bayesian updating is that after batch 1 is added to the initial prior, its posterior is used as the prior for the next batch of data. My takeaway from these posteriors is that Cassandra Brown has a pretty damn good 3-point shot! So the posterior formula can be rewritten as: Psychological Review, 3 , These are but three possible priors one could use.

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