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We introduce a new method of estimation of parameters in semiparametric and nonparametric models.
On the asymptotic distribution of differentiable statistical functions
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On differentiable functionals
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Ten lectures on wavelets . CBMS-NSF Regional Conference Series in Applied Mathematics, Vol. 61
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Estimation of integral functionals of a density
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Semi-parametric estimation of models for means and covariances in the presence of missing data
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On profile likelihood
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Tree approximation and optimal encoding
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Unified methods for censored longitudinal data and causality
van der Laan, M. J · 2003
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Estimating nonquadratic functionals of a density using Haar wavelets
Kerkyacharian, G · 1996
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Efficient maximum likelihood estimation in semiparametric mixture models
Van der Vaart, A · 1996
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Weak convergence and empirical processes
van der Vaart, A. W · 1996
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Projected score methods for approximating conditional scores
Waterman, R. P · 1996
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Estimation of integral functionals of a density and its derivatives
Laurent, B · 1997
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Wavelets, approximation, and statistical applications . Lecture Notes in Statistics, Vol. 129
Härdle, W · 1998
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Introduction à l’estimation non-paramétrique . Mathématiques & Applications (Berlin) [Mathematics & Applications], Vol. 41
Tsybakov, A. B · 2004
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Nonquadratic estimators of a quadratic functional
Cai, T. T · 2005
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Optimal adaptive estimation of a quadratic functional
Cai, T. T · 2006
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Higher order influence functions and minimax estimation of nonlinear functionals
Robins, J · 2008
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Robust statistics , Second ed
Huber, P. J · 2009
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Higher Order Tangent Spaces and Influence Functions
van der Vaart, A · 2014
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