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1. By Design: Exchange Algorithms to Construct Exact Model-Robust and Multiresponse Experimental Designs

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2. A BAYESIAN APPROACH TO FALSE DISCOVERY RATE FOR LARGE SCALE SIMULTANEOUS INFERENCE

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8. MIXTURE INFERENCE AT THE EDGE OF IDENTIFIABILITY

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

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

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12. Variable Selection and Regularized Mixture Modeling for Clustering

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14. Two Topics: A Jackknife Maximum Likelihood Approach to Statistical Model Selection and a Convex Hull Peeling Depth Approach to Nonparametric Massive Multivariate Data Analysis with Applications

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15. Testing in multifactor heteroscedastic ANOVA and repeated measures designs with large number of levels

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17. False Discovery Rates when the Statistics are Discrete

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

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19. ADAPTIVE SPLINES AND GENETIC ALGORITHMS FOR OPTIMAL STATISTICAL MODELING

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20. Sampling contingency tables given sets of marginals and/or conditionals in the context of statistical disclosure limitation

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21. Composite Likelihood in Long Sequence Data

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

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25. Inference for Complex Computer Models and Large Multivariate Spatial Data with Applications to Climate Science

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

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

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28. The Statistical Analysis of Monotone Incomplete Multivariate Normal Data

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

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30. NONPARAMETRIC TECHNIQUES IN FINITE MIXTURE OF REGRESSION MODELS

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31. THRESHOLDING METHODS FOR HYPOTHESIS TESTING IN HANOVA

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

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33. IMPROVING ESTIMATION FOR EXPONENTIAL-FAMILY RANDOM GRAPH MODELS

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

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35. Generalized stepwise procedures for controlling the false discovery rate

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37. Multivariate Concordance Correlation Coefficient

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38. HETEROSCEDASTIC UNBALANCED NESTED DESIGNS AND FULLY NONPARAMETRIC ANALYSIS OF COVARIANCE

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39. Distance-based Model-Selection with application to the Analysis of Gene Expression Data

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41. SEMIPARAMETRIC ESTIMATION FOR FINITE MIXTURE MODELS USING AN EXPONENTIAL TILT

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42. Nonparametric Models for Crossed Mixed Effects Designs

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43. A Model-based Analysis of Semicontinuous Spatial Data

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44. A General Class of Agreement Coefficients for Categorical and Continuous Responses

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46. DENSITY ESTIMATION AND MODAL BASED METHOD FOR HAPLOTYPING AND RECOMBINATION

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47. ROBUSTNESS PROPERTIES OF GENERALIZED CORRELATION COEFFICIENTS, WITH APPLICATIONS TO CROSS-OVER DESIGNS

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

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

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51. LIKELIHOOD-TUNED DENSITY ESTIMATOR AND ITS APPLICATION TO CLUSTERING

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

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56. New modeling Procedures for Functional Data in Computer Experiments

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57. Hypothesis Testing and Variable Selection in Nonparametric Regression

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58. Model Selection for Logistic Regression via Association Rules Analysis

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59. Statistical Models and Algorithms for Large Network Analysis

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60. Investigation of topics in U-statistics and their applications in risk estimation and cross-validation

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

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

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63. A GENERAL THEORY FOR NONLINEAR SUFFICIENT DIMENSION REDUCTION: FORMULATION AND ESTIMATION

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64. Inference with implicit likelihoods for infectious disease models

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65. Spatial Point Process Modeling of Viral Infections in Cell Cultures

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66. Statistical Models for Mapping Genes that Contribute to Shape Variation

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68. Statistical Methods for Different Ultrahigh Dimensional Models

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

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

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72. Optimization and Statistical Estimation for the Post Randomization Method

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

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76. Performance criteria for control charts

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77. Methods in Multiple Testing and Meta-analysis with Applications to the Analysis of Genomic Data

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79. Kernel Methods for Neuroimaging Genomewide Association Studies

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80. Estimation and Model Selection for Block Clustering with Mixtures: A Composite Likelihood Approach

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81. Logarithmic Quantile Estimation and Its Applications to Nonparametric Factorial Designs

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82. Topics in Exponential Random Graph Modeling

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

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84. Efficient estimation and order determination for sufficient dimension reduction

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85. Likelihood based inference in data privacy and other discrete missing data problems.

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86. Climate Model Calibration Using High-Dimensional and Non-Gaussian Spatial Data

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

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88. Three novel procedures to control the false discovery rate

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89. Non-Parametric Finite Multivariate Mixture Models with Applications

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90. Statistical Models for Scalar Response with Longitudinal Covariates

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

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92. Robust Parameter Design: A Penalized Likelihood Approach

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

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95. Kernel Machine Methods With Applications to High-throughout Data

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

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

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98. Classification of Transients by Distance Measures

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

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