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Score function

The score is the gradient of the log-likelihood,

S_{n} (θ) = \nabla_{θ} ℓ_{n} (θ)

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Table of contents 161 8
- Mean-zero score identity Score function 12
- Fisher information matrix Score function 139 6

 Ancestors (5)

 Incoming links (7)