(a) Explain how the likelihood function ensures learning from data as n. (b) Explain why the identity...

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(a) Explain how the likelihood function ensures learning from data as n→∞.

(b) Explain why the identity below is mathematically correct but probabilistically questionable:

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explain how one can remedy that.

(c) Explain the difference between (i) Fisher’s sample and individual observation information and (ii) Fisher’s information and observed information matrix.

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