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Time-Varying Coefficient Models with ARMA-GARCH Structures for Longitudinal Data          Analysis
Comparison of Estimators in Hierarchical Linear Modeling
Estimation from Data Representing a Sample of Curves
Statistical Shape Analysis on Manifolds with Applications to Planar Contours and          Structural Proteomics
Semi-Parametric Generalized Estimating Equations with Kernel Smoother
Developing SRSF Shape Analysis Techniques for Applications in Neuroscience and Genomics
Bayesian Modeling and Variable Selection for Complex Data
Impact of Rater Variability on Relationships among Different Effect-Size Indices for Inter-Rater Agreement between Human and Automated             Essay Scoring
Spatial Statistics and Its Applications in Biostatistics and Environmental Statistics
One-and Two-Sample Problem for Data on Hilbert Manifolds with Applications to Shape Analysis
Examining the Relationship of Dietary Component Intakes to Each Other and to Mortality
Median Regression for Complex Survey Data
Matched Sample Based Approach for Cross-Platform Normalization on Gene Expression Data
Use of a Meta-Analysis Technique in Equating and Its Comparison with Several Small Sample Equating Methods
Four Methods for Combining Dependent Effects from Studies Reporting Regression Analysis
Individual Patient-Level Data Meta-Analysis
Minimax Tests for Nonparametric Alternatives with Applications to High Frequency          Data
Testing for the Equality of Two Distributions on High Dimensional Object Spaces and Nonparametric Inference for Location Parameters
Regression Methods for Skewed and Heteroscedastic Response with High-Dimensional Covariates
Nonparametric Change Point Detection Methods for Profile Variability
Scalable and Structured High Dimensional Covariance Matrix Estimation
Examination of the Relationship between Alcohol and Dementia in a Longitudinal Study
Neural Rule Ensembles
Study of Some Issues of Goodness-of-Fit Tests for Logistic Regression
AP Student Visual Preferences for Problem Solving
Elastic Functional Principal Component Analysis for Modeling and Testing of Functional Data
Elastic Functional Regression Model
Learning Political Will in Organizations
Building a Model Performance Measure for Examining Clinical Relevance Using Net Benefit Curves
Non-Parametric and Semi-Parametric Estimation and Inference with Applications to Finance and Bioinformatics
Generalized Mahalanobis Depth in Point Process and Its Application in Neural Coding and Semi-Supervised Learning in Bioinformatics
Traits, Species, and Communities
Volatility Matrix Estimation for High-Frequency Financial Data
Wavelet-Based Bayesian Approaches to Sequential Profile Monitoring
Tests and Classifications in Adaptive Designs with Applications
Statistical Shape Analysis of Neuronal Tree Structures
Effective and Efficient Approach for Clusterability Evaluation
Survival Analysis Using Bayesian Joint Models
Improvement of Quality Prediction in Inter-Connected Manufacturing System by Integrating Multi-Source Data
Dynamic and Stochastic Transition of Traffic Conditions and Its Application in Urban Traffic Mobility
Fused Lasso and Tensor Covariance Learning with Robust Estimation
Critical Issues in Survey Meta-Analysis
Marked Determinantal Point Processes
Bayesian Tractography Using Geometric Shape Priors
Envelopes, Subspace Learning and Applications
Bayesian Semiparametric Joint Model for Longitudinal and Survival Data
Impact of Violations of Measurement Invariance in Longitudinal Mediation Modeling
Random Walks over Point Processes and Their Application in Finance
High-Dimensional Statistical Methods for Tensor Data and Efficient Algorithms
Univariate and Multivariate Volatility Models for Portfolio Value at Risk

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