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AP Student Visual Preferences for Problem Solving
Generalized Mahalanobis Depth In Point Process And Its Application In Neural Coding
Are screening methods useful in feature selection?
Power Of Two
Randomized Sketches For Kernels
Why Deep Learning Works
Regression Methods for Skewed and Heteroscedastic Response with High-Dimensional Covariates
Generalized Mahalanobis Depth in Point Process and Its Application in Neural Coding and Semi-Supervised Learning in Bioinformatics
First Steps towards Image Denoising under Low-Light Conditions
Embracing the Generalized Propensity Score Method
Two Studies on the Application of Machine Learning for Biomedical Big Data
Personalized Chemotherapy Selection For Breast Cancer Using Gene Expression Profiles
Automatic stage identification of Drosophila egg chamber based on DAPI images
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
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
Age Effects in the Extinction of Planktonic Foraminifera
Inference for Semiparametric Time-Varying Covariate Effect Relative Risk Regression          Models
Effect of Risk Factors on Coronary Heart Disease
Multistate Intensity Model with AR-GARCH Random Effect for Corporate Credit Rating          Transition Analysis
Class of Mixed-Distribution Models with Applications in Financial Data Analysis
Optimal Linear Representations of Images under Diverse Criteria
Flexible Additive Risk Models Using Piecewise Constant Hazard Functions
Association Models for Clustered Data with Binary and Continuous Responses
Bayesian Approach to Meta-Regression
Bayesian MRF Framework for Labeling Terrain Using Hyperspectral Imaging
Impact of Missing Data on Building Prognostic Models and Summarizing Models Across Studies
Logistic Regression, Measures of Explained Variation, and the Base Rate Problem
Statistical Modelling and Applications of Neural Spike Trains
Time Scales in Epidemiological Analysis
New Semiparametric Methods for Recurrent Events Data
Quasi-3D Statistical Inversion of Oceanographic Tracer Data
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
Riemannian Shape Analysis of Curves and Surfaces
Novel Riemannian Metric for Analyzing Spherical Functions with Applications to HARDI Data
Riemannian Framework for Annotated Curves Analysis
Prediction and Testing for Non-Parametric Random Function Signals in a Complex System
Weighted Adaptive Methods for Multivariate Response Models with an HIV/Neurocognitive Application
Relationship of Diabetes to Coronary Heart Disease Mortality
Nonparametric Wavelet Thresholding and Profile Monitoring for Non-Gaussian Errors
Nonparametric Nonstationary Density Estimation Including Upper Control Limit Methods for Detecting Change Points

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