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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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Open Access

4. Dimension Reduction for the Conditional Kth Moment via Central Solution Space

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Open Access

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

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Open Access

6. Hypothesis Testing and Variable Selection in Nonparametric Regression

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Open Access

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

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Open Access

9. Efficient estimation and order determination for sufficient dimension reduction

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Open Access

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

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12. Topics on Supervised and Unsupervised Dimension Reduction

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14. Dimension reduction for functional data

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17. Functional Manifold Data Analysis

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18. Nonparametric Estimation of Sufficient Forecasting with a Diverging Number of Factors

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Open Access

19. Topics in High-dimensional Statistical Inference

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Open Access

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

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Open Access