Maximum Likelihood Estimation (Cont.)

• Consistent

  • Estimate converges to best possible value as the number of examples grow

• Asymptotic efficiency

  • Estimate is as close to the true value as possible given a particular training set

• Representation invariant

  • A transformation in the parameter representation does not change the estimated probability distribution

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