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1. Asymptotic Confidence Sets for General Nonparametric Regression and Classification by Regularized Kernel Methods

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2. A Minimum Distance Estimator in an Imprecise Probability Model – Computational Aspects and Applications

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3. Data-Based Decisions under Complex Uncertainty

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4. Factors Influencing Households' Firewood Consumption in the Western Pamirs, Tajikistan


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5. Asymptotic Normality of Support Vector Machine Variants and Other Regularized Kernel Methods


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6. Practical Tikhonov Regularized Estimators in Reproducing Kernel Hilbert Spaces for Statistical Inverse Problems


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7. Asymptotic Confidence Sets for General Nonparametric Regression and Classification by Regularized Kernel Methods


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8. Data-Based Decisions under Complex Uncertainty


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9. Support Vector Machines for Additive Models: Consistency and Robustness


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10. On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel Based Methods


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