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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
Examining the Effect of Treatment on the Distribution of Blood Pressure in the Population Using Observational Data
Semi-Parametric Generalized Estimating Equations with Kernel Smoother
Bayesian Modeling and Variable Selection for Complex Data
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
Individual Patient-Level Data Meta-Analysis
Analysis of the Wealth Distribution at Equilibrium in a Heterogeneous Agent          Economy
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
Bayesian Wavelet Based Analysis of Longitudinally Observed Skewed Heteroscedastic Responses
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
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
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
Bayesian Analysis of Survival Data with Missing Censoring Indicators and Simulation of Interval Censored Data
Generalized Mahalanobis Depth in Point Process and Its Application in Neural Coding and Semi-Supervised Learning in Bioinformatics
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
Two Studies on the Application of Machine Learning for Biomedical Big Data
Survival Analysis Using Bayesian Joint Models
Fused Lasso and Tensor Covariance Learning with Robust Estimation
Marked Determinantal Point Processes
Bayesian Tractography Using Geometric Shape Priors
Envelopes, Subspace Learning and Applications
Bayesian Semiparametric Joint Model for Longitudinal and Survival Data
High-Dimensional Statistical Methods for Tensor Data and Efficient Algorithms
Univariate and Multivariate Volatility Models for Portfolio Value at Risk
Online Feature Selection with Annealing and Its Applications
Shape Based Function Estimation
Relationship Between Body Mass and Blood Pressure in Diverse Populations
Statistical Models on Human Shapes with Application to Bayesian Image Segmentation and Gait Recognition
Nonparametric Data Analysis on Manifolds with Applications in Medical Imaging
Mixed-Effects Models for Count Data with Applications to Educational Research
Estimation and Sequential Monitoring of Nonlinear Functional Responses Using Wavelet Shrinkage
Investigating the Categories for Cholesterol and Blood Pressure for Risk Assessment of Death Due to Coronary Heart Disease

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