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

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

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

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

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

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

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

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110. Feature Screening For Ultra-high Dimensional Longitudinal Data

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111. Stochastic Models for Individual and Collective Animal Movement

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112. Topics on Supervised and Unsupervised Dimension Reduction

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115. Bayesian nonparametric approaches for financial option pricing

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

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118. BAYESIAN ANALYSIS OF MULTIVARIATE REGIME SWITCHING COVARIANCE MODEL

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120. Instrumental Variable Modeling in a Survival Analysis Framework.

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123. FUNCTIONAL DATA BASED INFERENCE FOR HIGH FREQUENCY FINANCIAL DATA

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124. Nonparametric graphical models for functional data

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125. Efficient parameter estimation methods using quantile regression in heteroscedastic models

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126. Statistical Learning of Complex Large-Scale Dynamic Systems

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127. TESTING SEPARABILITY OF FUNCTIONAL DATA

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128. Dimension reduction for functional data

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129. Reduced-dimensional Non-Gaussian Spatial Models and Statistical Methods for Studying the West Antarctic Ice Sheet

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130. Confidence Regions and Bands : for Functional Parameters and Hypothesis Testing Inversion

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131. Copula Versions of RKHS-Based and Distance-Based Criteria

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132. New Statistical Procedures for Analysis of HIV Data and High Dimensional Data

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133. SEMIPARAMETRIC ESTIMATION AND INFERENCE FOR CONDITIONAL VALUE-AT-RISK AND EXPECTED SHORTFALL

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134. Latent Modeling of Dynamic Social Networks

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136. Functional Principal Component Analysis and Sparse Functional Regression

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137. STATISTICAL DATA PRIVACY METHODS FOR INCREASING RESEARCH OPPORTUNITIES

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138. Functional Manifold Data Analysis

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139. Advances in Design of Computer Experiments

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140. New Developments in Design of Experiments

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141. Dimensional Analysis for Response Surface Methodology

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142. Air Quality and Health Effects: Systematic Investigation

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143. Integral Transform Methods in Goodness-of-Fit Testing

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144. STATISTICAL ANALYSIS OF CHROMOSOME CONFORMATION DATA AND OTHER OMIC DATA

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145. Topics in High-dimensional Statistical Inference

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146. COMPUTATIONAL METHODS FOR MODELS WITH INTRACTABLE NORMALIZING FUNCTIONS

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147. Statistical Modeling of Extreme Values with Applications in Climatology

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150. Procedures for Feature Screening and Interaction Identification in High-dimensional Data Modelling

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151. Regularization Methods In Functional Data Analysis

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

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153. Optimizing Finite Sample Performance of Differential Privacy

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154. The Integration and Evaluation of Multiple Data Sources

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155. Dimension Reduction and Sufficient Graphical Models

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156. Modern Algorithm-based approaches for Modeling Animal Movement

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157. Statistical Network Modeling and its Applications in Complex Large-Scale Systems

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158. Statistical Inference with Corrupted Data

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159. Topics on Statistical Inference for Extreme Values

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160. Computational Methods for Hierarchical Spatial Models and Ice Sheet Model Calibration

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161. Statistical Methods For Spatial And Multivariate Spatial Extreme Values

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162. Statistical methods for the analysis of multi-condition large-scale genomic data

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163. Privacy Preserving Methods in the Era of Big Data: New Methods and Connections

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164. Multi-block ADMM Algorithms for High-dimensional Sparse Estimation

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165. Advances in Ecological Statistics

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166. Joint Estimation of Multiple Graphical Models From Heterogeneous Subpopulations

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168. The Integration of Multiple Data Sources for HIV/AIDS Incidence and Prevalence Estimation

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169. Data Registration and Feature Selection in Functional Regression: some methodological and computational developments

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170. COMPUTATIONAL-STATISTICAL TRADEOFF IN APPOROXIMATE KERNEL PRINCIPAL COMPONENT ANALYSIS

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171. Mechanistic models for spatial and spatio-temporal data.

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172. Contributions to semiparametric inference and its applications

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173. Contributions to Mixture Experiments When Order of Addition is Important

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174. Theory and Applications of Estimation Methods for Exponential-family Random Graph Models

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175. Statistical Methods in Single Cell and Spatial Transcriptomics Data

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176. Topics on power enhancement in high-dimensional hypothesis tests

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177. Topics on Variable Selection in High-Dimensional Data

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178. Advances of Spatio-Temporal Models in Ecology: Applications in Landscape Genetics, Disease Spread, and Animal Movement

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179. Mixed Integer Programming, Whitening, and Functional Data Analysis: Improving Feature Selection in “Omics” Research

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180. Density estimation for some semiparametric models

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181. Extracting information in text and time series datasets

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182. Shrinkage Estimation for the Diagonal Multivariate Natural Exponential Families

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183. Semiparametric Approaches for Average Causal Effect and Precision Medicine

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184. Interpretable Statistical Learning: From Hidden Markov Models to Neural Networks

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185. Modeling data in time and space - studies of irregularities, dependence structure and applications

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186. Study of Interval Data

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187. Measurement, Assessment, and Improvement of Statistical Literacy in Relevant Contexts

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188. Theoretical and Applied Problems in Partially Private Data

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190. Advances in Stochastic Models for Animal Movement and Assessment of Attitudes Toward Probability

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191. Statistical Methods for Non-Linear Modeling in Functional Data

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192. Everyone Counts: Advanced Methods for Estimating Marginalized Populations

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193. Problems of Discrete Inference with Noisy or Incomplete Data

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194. New Statistical Tools for Independence and Conditional Independence

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195. Advances in Spatial Statistics and Inference Methods for Markov Population Models

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196. Novel methods and application of Bayesian hierarchical regression models

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197. Varying Coefficient Mediation Model

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198. Advances in Forward Sufficient Dimension Reduction Methods for Statistical Learning

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199. Space-time Models for Inferring Infectious Disease Risk and Burden

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200. Statistical Inference for High Dimensional Models

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