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Does the score-matched optimal convex estimator attain the full semiparametric efficiency bound?

Sourced from the work of Oliver Y. Feng, Yu-Chun Kao, Min Xu, Richard J. Samworth

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[1]

Optimal Convex $M$-Estimation via Score Matching

Oliver Y. Feng, Yu-Chun Kao, Min Xu, Richard J. Samworth (2024)

Annals of Statistics (to appear)

📍 Section 3.4 (Linear regression with an intercept term), paragraph around Eq. (40) immediately before Theorem 14 (discussion of semiparametric efficiency lower bound $\Sigma^{-1}/i(p_0)$ vs the surrogate using $\psi_0^*$), p. 20

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