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2. NONPARAMETRIC IMPUTATION AND (MID-) RANK TESTS FOR MIXED EFFECTS MODELS WITH MISSING DATA

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3. Matrix Distances With their Application to Finding Directional Deviations from normality in High-Dimensional Data

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

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8. THE BAYESIAN LASSO, BAYESIAN SCAD AND BAYESIAN GROUP LASSO WITH APPLICATIONS TO GENOME-WIDE ASSOCIATION STUDIES

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9. THE RECENT HISTORY FUNCTIONAL LINEAR MODEL AND ITS EXTENSION TO SPARSE LONGITUDINAL DATA

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10. SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA

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11. MEASURES OF AGREEMENT IN METHOD COMPARISON STUDIES FOR INTENSIVE LONGITUDINAL DATA

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12. NONPARAMETRIC TECHNIQUES IN FINITE MIXTURE OF REGRESSION MODELS

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

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14. MULTIPLE IMPUTATION FOR MISSING ITEMS IN MULTI-THEMED QUESTIONNAIRES

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

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18. Varying-Coefficient Models: New Models, Inference Procedures, and Applications

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

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21. Estimation and forecasting methodologies for nonparametric regression models via dynamic linear models

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22. New modeling Procedures for Functional Data in Computer Experiments

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23. Hypothesis Testing and Variable Selection in Nonparametric Regression

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24. Joint Modeling of Longitudinal Binary and Continuous Responses: New Models, Statistical Procedures and Applications

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25. feature screening and variable selection for ultrahigh dimensional data analysis

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26. Statistical Methods for Different Ultrahigh Dimensional Models

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28. Three essays on nonparametric inference for longitudinal data and time series data.

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29. Data-adaptive Approaches to Modeling Propensity Scores in Causal Inference Problems

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

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32. model selection and survival analysis with application to large time-varying networks

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33. Efficient estimation and order determination for sufficient dimension reduction

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34. New screening procedure for ultrahigh dimensional varying-coefficient model in longitudinal data analysis

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35. Joint Modeling of Longitudinal and Survival Data: New Models, Computing Techniques and Applications

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36. Non-Parametric Finite Multivariate Mixture Models with Applications

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37. Statistical Models for Scalar Response with Longitudinal Covariates

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39. Dynamic Models for Intensive Longitudinal Data: New Models, Statistical Procedures, and Applications

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41. New Procedures for Cox's Model with High Dimensional Predicotrs

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42. Semiparametric Analysis of Failure Time Data in the Presence of Dependent Censoring

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43. Projection Test for High-dimensional Mean Vectors with Optimal Direction

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44. Inference of Gene Regulatory Network Based on Gene Expression Dynamics in Response to Environmental Signals

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46. Nonparametric Independence Screening And Test-based Screening Via The Variance Of The Regression Function

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

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50. Topics on Supervised and Unsupervised Dimension Reduction

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