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Efficient Estimation with Smooth Penalization
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Adaptive Computer Experiments for Metamodeling
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Spatial Statistics Analysis with Artificial Neural Network
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Design and Analysis of Trials for Developing Adaptive Treatment Strategies in Complex Clustered Settings
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Selection and Analysis of U.S. Election Forecasting Models
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Utilizing External Information about the Covariance Structure in Experiments with Clustering
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Bayesian Inference with Mixtures of Logistic Regression: Functional Approximation, Statistical Consistency and Algorithmic Convergence
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Topics of Variable Selection in Biomedical Data Mining
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Small Dispersion Asymptotics in Stratified Models
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