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1. Variable Selection and Regularized Mixture Modeling for Clustering

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Open Access

2. Two Topics: A Jackknife Maximum Likelihood Approach to Statistical Model Selection and a Convex Hull Peeling Depth Approach to Nonparametric Massive Multivariate Data Analysis with Applications

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Open Access

3. Sampling contingency tables given sets of marginals and/or conditionals in the context of statistical disclosure limitation

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4. A GENERAL THEORY FOR NONLINEAR SUFFICIENT DIMENSION REDUCTION: FORMULATION AND ESTIMATION

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Open Access

5. Statistical Learning of Complex Large-Scale Dynamic Systems

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Open Access

6. Computational Methods for Hierarchical Spatial Models and Ice Sheet Model Calibration

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Open Access