Bayesian Inference (cont.)

Frequentist Approach:

• Assumes there is an unknown but fixed parameter ?

• Estimates ? with some confidence

• Prediction by using the estimated parameter value

Bayesian Approach:

• Represents uncertainty about the unknown parameter

• Uses probability to quantify this uncertainty:

  • Unknown parameters as random variables

• Prediction follows from the rules of probability:

  • Expectation over the unknown parameters

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