Bayesian Statistics
My notes on Bayesian Statistic. Still learning about this.
Frequentist versus Bayesian Methods
Frequentist versus Bayesian Methods
In frequentist inference, probabilities are interpreted as long run frequencies. The goal is to create procedures with long run frequency guarantees.
In Bayesian inference, probabilities are interpreted as subjective degrees of belief. The goal is to state and analyze your beliefs.
Resources
- An Introduction to Bayesian Thinking - A Companion to the Statistics with R Course A whole gitbook available online.
- https://stats.stackexchange.com/questions/226409/weighted-arithmetic-mean-weight-choice-in-a-simplified-bayes-estimator - yikes, heavy, but might be a jewel in there.
- https://arbital.com/p/bayes_rule/?l=693 - High-speed intro to Bayes’s rule
- https://betterexplained.com/articles/an-intuitive-and-short-explanation-of-bayes-theorem/
- https://blog.codinghorror.com/an-initiate-of-the-bayesian-conspiracy/
