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AP Student Visual Preferences for Problem Solving
Generalized Mahalanobis Depth In Point Process And Its Application In Neural Coding
Power Of Two
Randomized Sketches For Kernels
Why Deep Learning Works
Regression Methods for Skewed and Heteroscedastic Response with High-Dimensional Covariates
Automatic stage identification of Drosophila egg chamber based on DAPI images
First Steps towards Image Denoising under Low-Light Conditions
Generalized Mahalanobis Depth in Point Process and Its Application in Neural Coding and Semi-Supervised Learning in Bioinformatics
Personalized Chemotherapy Selection For Breast Cancer Using Gene Expression Profiles
Embracing the Generalized Propensity Score Method
Prediction and Testing for Non-Parametric Random Function Signals in a Complex System
Estimation and Sequential Monitoring of Nonlinear Functional Responses Using Wavelet Shrinkage
Weighted Adaptive Methods for Multivariate Response Models with an HIV/Neurocognitive Application
Nonparametric Wavelet Thresholding and Profile Monitoring for Non-Gaussian Errors
Frequentist Performance of Some Bayesian Confidence Intervals for the Survival Function
Bayesian Methods for Skewed Response Including Longitudinal and Heteroscedastic Data
Statistical Analysis of Trajectories on Riemannian Manifolds
Meta Analysis and Meta Regression of a Measure of Discrimination Used in Prognostic Modeling
Ensemble Approach to Predicting Health Outcomes
Mixed-Effects Models for Count Data with Applications to Educational Research
Riemannian Framework for Annotated Curves Analysis
Nonparametric Data Analysis on Manifolds with Applications in Medical Imaging
Riemannian Shape Analysis of Curves and Surfaces
Novel Riemannian Metric for Analyzing Spherical Functions with Applications to HARDI Data
Theories on Group Variable Selection in Multivariate Regression Models
Monte Carlo Likelihood Estimation for Conditional Autoregressive Models with Application to Sparse Spatiotemporal Data
Nonparametric Nonstationary Density Estimation Including Upper Control Limit Methods for Detecting Change Points
Elastic Shape Analysis of RNAs and Proteins
Failure Time Regression Models for Thinned Point Processes
2D Affine and Projective Shape Analysis, and Bayesian Elastic Active Contours
Relationship Between Body Mass and Blood Pressure in Diverse Populations
Relationship of Diabetes to Coronary Heart Disease Mortality
Risk of Lipids on Coronary Heart Disease
Class of Semiparametric Volatility Models with Applications to Financial Time Series
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
Association Models for Clustered Data with Binary and Continuous Responses
Investigating the Categories for Cholesterol and Blood Pressure for Risk Assessment of Death Due to Coronary Heart Disease
Statistical Shape Analysis on Manifolds with Applications to Planar Contours and          Structural Proteomics
Multistate Intensity Model with AR-GARCH Random Effect for Corporate Credit Rating          Transition Analysis
Effect of Risk Factors on Coronary Heart Disease
Optimal Linear Representations of Images under Diverse Criteria
Class of Mixed-Distribution Models with Applications in Financial Data Analysis
Impact of Missing Data on Building Prognostic Models and Summarizing Models Across Studies
Analysis of Multivariate Data with Random Cluster Size
Statistical Approach for Information Extraction of Biological Relationships
Variable Selection of Correlated Predictors in Logistic Regression
Bayesian Generalized Polychotomous Response Models and Applications

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