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Wavelets, Approximation, and Statistical Applications (Lecture Notes in Statistics)
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Regression estimators
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Asset Pricing
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Neural networks for conditional probability estimation
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Efficient and adaptive estimation for semiparametric models
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Sequential estimation
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Improving Efficiency by Shrinkage
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Model-free curve estimation
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Variance components estimation
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Kernel smoothing
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A course in credibility theory and its applications
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Linear estimation
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On the use of two-phase sampling in estimation of parameters in domains where data contain misclassification and measurement errors
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Empirical Likelihood
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Robust estimation and testing
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