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Penalized portfolio optimization
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Robust feature selection with penalized regression in imbalanced high dimensional data
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Prediction and feature selection with regularized regression in integrative genomics
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Bayesian multilevel quantile regression for longitudinal data
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High-dimensional regression for gene-environment interactions
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Feature selection in high-dimensional modeling with thresholded regression
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Incorporating prior knowledge into regularized regression
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Hierarchical regularized regression for incorporation of external data in high-dimensional models
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Optimizing penalized and constrained loss functions with applications to large-scale internet media selection
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Statistical analysis of high-throughput genomic data
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Regularized structural equation modeling
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Large-scale inference in multiple Gaussian graphical models
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Functional based multi-level flexible models for multivariate longitudinal data
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Robust estimation of high dimensional parameters
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Comparison of Cox regression and machine learning methods for survival analysis of prostate cancer
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Sparseness in functional data analysis
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Bayesian methods for autonomous learning systems
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Improving the power of GWAS Z-score imputation by leveraging functional data
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Ready, set, algebra?
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Model selection principles and false discovery rate control
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Accrual quality and expected returns: the importance of controlling for cash flow shocks
The spatial effect of AB 109 (Public Safety Realignment) on crime rates in San Diego County
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The 2003-2012 impact of Algebra When Ready on indicators of college readiness across California school districts
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Adaptive set-based tests for pathway analysis
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