Application of convolution theorems in semiparametric models with non-i. i. d. data

DOI10.1016/S0378-3758(00)00193-2zbMath0970.62031MaRDI QIDQ5928946

Brad McNeney, Jon A. Wellner

Publication date: 3 October 2001

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

differentiabilityasymptotic efficiencyconvolution theoremsinformation boundlocal asymptotic normalityregular estimatorssemiparametric models

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Central limit and other weak theorems (60F05) Functional limit theorems; invariance principles (60F17)

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