Inferential Statisticshard
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In a misspecified statistical model where the true distribution of data is FF but we assume f(xθ)f(x|\theta), the M-estimator θ^\hat{\theta} satisfies i=1nψ(Xi,θ^)=0\sum_{i=1}^n \psi(X_i, \hat{\theta}) = 0. What structure defines the asymptotic variance of n(θ^θ)\sqrt{n}(\hat{\theta} - \theta^*) where θ\theta^* is the pseudo-true parameter?