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AP Student Visual Preferences for Problem Solving
Testing for the Equality of Two Distributions on High Dimensional Object Spaces and Nonparametric Inference for Location Parameters
Effective and Efficient Approach for Clusterability Evaluation
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
Analysis of Multivariate Data with Random Cluster Size
Statistical Approach for Information Extraction of Biological Relationships
Variable Selection of Correlated Predictors in Logistic Regression
Some New Methods for Design and Analysis of Survival Data
Bayesian Generalized Polychotomous Response Models and Applications
Covariance on Manifolds
Study of the Asymptotic Properties of Lasso Estimates for Correlated Data
Nonparametric Estimation of Three Dimensional Projective Shapes with Applications in Medical Imaging and in Pattern          Recognition
Probabilistic and Graphical Analysis of Evidence in O.J. Simpson's Murder Case Using Bayesian Networks
Investigating the Use of Mortality Data as a Surrogate for Morbidity Data
Sparse Factor Auto-Regression for Forecasting Macroeconomic Time Series with Very Many Predictors
Adaptive Series Estimators for Copula Densities
Estimating the Probability of Cardiovascular Disease
One-and Two-Sample Problem for Data on Hilbert Manifolds with Applications to Shape Analysis
Statistical Methods for Big Data and Their Applications in Biomedical Research
Quasi-3D Statistical Inversion of Oceanographic Tracer Data
Predictive Accuracy Measures for Binary Outcomes
Time-Varying Mixture Models for Financial Risk Management
Sparse Generalized PCA and Dependency Learning for Large-Scale Applications Beyond Gaussianity
Modeling Differential Item Functioning (DIF) Using Multilevel Logistic Regression Models
Time Scales in Epidemiological Analysis
New Semiparametric Methods for Recurrent Events Data
New Methods in Tornado Risk and Vulnerability Assessments
Statistical Approach to an Ocean Circulation Inverse Problem
Modeling Multivariate Data with Parameter-Based Subspaces
Bayesian Inference and Novel Models for Survival Data with Cured Fraction
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
analysis of test reliability
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
Functional Component Analysis and Regression Using Elastic Methods
Parametric and Nonparametric Spherical Regression with Diffeomorphisms
Statistical Modelling and Applications of Neural Spike Trains
Statistical Models on Human Shapes with Application to Bayesian Image Segmentation and Gait Recognition
Framework for Comparing Shape Distributions
Discrimination and Calibration of Prognostic Survival Models
Comparison of Three Approaches to Confidence Interval Estimation for Coefficient Omega
Bayesian Portfolio Optimization with Time-Varying Factor Models
Bayesian Approach to Meta-Regression
Nonlinear Multivariate Tests for High-Dimensional Data Using Wavelets with Applications in Genomics and Engineering
Practical Methods for Equivalence and Non-Inferiority Studies with Survival Response
Goodness-of-Tests for Logistic Regression

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