Bayesian vs. Frequentist

Dec 9, 2009   //   by Yue Yu   //   Researches  //  No Comments

What’s Bayesian?

– One who bases inferences about θ on its posterior distribution under some model for the data and prior distribution for unknown parameters.

What’s Frequentist?

– One who bases inference for an unknown parameter θ on hypothesis tests or confidence intervals, derived from the distribution of statistics in repeated sampling.

What are we?

– See the slides of my talk: Bayesian vs. Frequentist

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