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1. PENALIZED QUADRATIC INFERENCE FUNCTIONS FOR VARIABLE SELECTION IN LONGITUDINAL RESEARCH

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2. On Dimension Folding of Matrix or Array Valued Statistical Objects

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4. Regularization Parameter Selection for Variable Selection in High-dimensional Modelling

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5. Hypothesis Testing and Variable Selection in Nonparametric Regression

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7. Thresholded partial correlation approach for variable selection in linear models and partially linear models

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8. Efficient estimation and order determination for sufficient dimension reduction

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9. Approaches to reduce and integrate data in structured and high-dimensional regression problems in Genomics

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11. Topics on Supervised and Unsupervised Dimension Reduction

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13. Dimension reduction for functional data

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15. Functional Manifold Data Analysis

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16. Topics in High-dimensional Statistical Inference

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17. COVARIATE INFORMATION: A NOVEL APPROACH TO SUFFICIENT DIMENSION REDUCTION & FEATURE SCREENING FOR ULTRAHIGH-DIMENSIONAL COVARIATES IN SUPERVISED PROBLEMS

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18. Joint Estimation of Multiple Graphical Models From Heterogeneous Subpopulations

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20. Statistical Learning on High-Dimensional Multi-Source Data

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21. Inference Methods for High-Dimensional Data: A Focus On Different Hypothesis Testing Problems

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22. Dimension Reduction and Graphical Models using Optimal Transport

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23. Robust Techniques for High-dimensional Data: Modern Approaches and Applications

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24. Statistical Inference with Corrupted Data

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25. Varying Coefficient Mediation Model

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26. Statistical Inference for High Dimensional Models

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27. New advances in structure learning of graphical models

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28. Essays in HIV: Mapping the distribution of marginalized groups and analysis of ART treatment effectiveness across patient groups

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29. Topics on power enhancement in high-dimensional hypothesis tests

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30. New Statistical Tools for Independence and Conditional Independence

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31. Density estimation for some semiparametric models

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