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The lecture compares Wald, score, and likelihood-ratio tests for \(H0:\theta=\theta0\), then treats M-estimators (including Huber loss) as a generalization of MLE, and closes by mapping the whole large-sample theory c...
Unknown · 0:00
The lecture compares Wald, score, and likelihood-ratio tests for \(H0:\theta=\theta0\), then treats M-estimators (including Huber loss) as a generalization of MLE, and closes by mapping the whole large-sample theory c...
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