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BAYESIAN PREDICTIVE INFERENCE WITH STICK-BREAKING PROCESSES AND SURVEY WEIGHTS
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Using Black-Box Optimization Techniques to Solve Shape Optimization Problems in Fluid Mechanics
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Convergence analysis in stochastic nonlinear systems: Asymptotic behaviors in extended time scales and large populations
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Stochastic Analysis of Mean-Field Games, Portfolio Optimization and Low-Rank Matrix Approximation
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Exploring Edge Detection Methods for Improved Image Classification
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Combinatorics of Complex Maximal Determinant Matrices
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Novel Statistical Methods for Aggregating Correlated and Missing Data with Applications to Chronic Disease Research
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Bayesian Predictive Inference for a Study Variable Without Specifying a Link to the Covariates
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Analysis and Homogenization of Partial Differential Equations with Discontinuous Boundary Conditions
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Predictive Power and Efficient Sample Size in Linear Regression Models
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