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1. SEMI-SUPERVISED CLUSTERING FOR HIGH-DIMENSIONAL AND SPARSE FEATURES

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2. Efficient estimation and order determination for sufficient dimension reduction

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3. Motor Proteins and Non-Gaussian Areal Data: Advances in Stochastic Modeling and Computation

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5. Dimension reduction for functional data

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6. COMPUTATIONAL METHODS FOR MODELS WITH INTRACTABLE NORMALIZING FUNCTIONS

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7. Physics-informed model reduction of dynamical systems subjected to impacts and discontinuity

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8. New Statistical Tools for Independence and Conditional Independence

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9. Semiparametric Approaches for Average Causal Effect and Precision Medicine

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