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Algorithmic Lung Nodule Analysis in Chest Tomography Images
Bayesian Inference and Novel Models for Survival Data with Cured Fraction
Bayesian Modeling and Variable Selection for Complex Data
Bayesian Models for Capturing Heterogeneity in Discrete Data
Building a Model Performance Measure for Examining Clinical Relevance Using Net Benefit Curves
Comparative mRNA Expression Analysis Leveraging Known Biochemical Interactions
Developing SRSF Shape Analysis Techniques for Applications in Neuroscience and Genomics
Effective and Efficient Approach for Clusterability Evaluation
Elastic Functional Principal Component Analysis for Modeling and Testing of Functional Data
Elastic Functional Regression Model
Examination of the Concept of Frailty in the Elderly
Examination of the Relationship between Alcohol and Dementia in a Longitudinal Study
Examining the Relationship of Dietary Component Intakes to Each Other and to Mortality
First Steps towards Image Denoising under Low-Light Conditions
Framework for Comparing Shape Distributions
Fused Lasso and Tensor Covariance Learning with Robust Estimation
Generalized Mahalanobis Depth in Point Process and Its Application in Neural Coding and Semi-Supervised Learning in Bioinformatics
Geometric Approaches for Analysis of Images, Densities and Trajectories on Manifolds
High Level Image Analysis on Manifolds via Projective Shapes and 3D Reflection Shapes
Influence Measures for Bayesian Data Analysis
Intensity Estimation in Poisson Processes with Phase Variability
Matched Sample Based Approach for Cross-Platform Normalization on Gene Expression Data
Matched-Sample-Based Normalization Method
Median Regression for Complex Survey Data
Methods of Block Thresholding Across Multiple Resolution Levels in Adaptive Wavelet Estimation
Modeling Multivariate Data with Parameter-Based Subspaces
Multivariate Binary Longitudinal Data Analysis
Neural Rule Ensembles
Non-Parametric and Semi-Parametric Estimation and Inference with Applications to Finance and Bioinformatics
Nonparametric Change Point Detection Methods for Profile Variability
Nonparametric Detection of Arbitrary Changes to Distributions and Methods of Regularization of Piecewise Constant Functional Data
On the Statistical Modeling of Count Data in High Dimensions
One-and Two-Sample Problem for Data on Hilbert Manifolds with Applications to Shape Analysis
Parameter Sensitive Feature Selection for Learning on Large Datasets
Practical Methods for Equivalence and Non-Inferiority Studies with Survival Response
Predictive Accuracy Measures for Binary Outcomes
Predictors of Reading Comprehension
Regression Methods for Skewed and Heteroscedastic Response with High-Dimensional Covariates
Robust Function Registration Using Depth on the Phase Variability
Scalable and Structured High Dimensional Covariance Matrix Estimation
Scalable Nonconvex Optimization Algorithms
Semi-Parametric Generalized Estimating Equations with Kernel Smoother
Semiparametric Bayesian Regression Models for Skewed Responses
Shape Constrained Single Index Models for Biomedical Studies
Small Area Estimation with Random Effects Selection
Sparse Feature and Element Selection in High-Dimensional Vector Autoregressive Models
Sparse Generalized PCA and Dependency Learning for Large-Scale Applications Beyond Gaussianity
Spatial Statistics and Its Applications in Biostatistics and Environmental Statistics
Statistical Analysis on Object Spaces with Applications
Statistical Methods for Big Data and Their Applications in Biomedical Research

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