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

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102. Performance criteria for control charts

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

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106. Asymptotic behavior of Nadaraya-Watson and local linear estimators associated with the single index model

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110. Kernel Methods for Neuroimaging Genomewide Association Studies

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

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

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113. Topics in Exponential Random Graph Modeling

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114. Reinvestigation of causal effects of Right Heart catheterization: a matching approach

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

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117. Efficient estimation and order determination for sufficient dimension reduction

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

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

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

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

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122. Three novel procedures to control the false discovery rate

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123. Non-Parametric Finite Multivariate Mixture Models with Applications

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124. Statistical Models for Scalar Response with Longitudinal Covariates

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

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127. Robust Parameter Design: A Penalized Likelihood Approach

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

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

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

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

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134. Classification of Transients by Distance Measures

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

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

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138. Central Limit Theorems for Randomly Modulated Sequences of Random Vectors with Resampling and Applications to Statistics

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

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140. Dimensional Analysis in Statistics: Theories, Methodologies and Applications

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142. Compartmental, Spatial, and Point Process Models for Infectious Diseases

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143. A Non-iterative Method for Fitting the Single Index Quantile Regression Model with Uncensored and Censored Data

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145. Inference of Biophysical Diffusion With Transient Binding Using Particle Filters and Stochastic Em

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146. Feature Screening For Ultra-high Dimensional Longitudinal Data

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147. Stochastic Models for Individual and Collective Animal Movement

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150. Topics on Supervised and Unsupervised Dimension Reduction

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