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Survival Analysis Using Bayesian Joint Models
Improvement of Quality Prediction in Inter-Connected Manufacturing System by Integrating Multi-Source Data
Dynamic and Stochastic Transition of Traffic Conditions and Its Application in Urban Traffic Mobility
Marked Determinantal Point Processes
Bayesian Tractography Using Geometric Shape Priors
Envelopes, Subspace Learning and Applications
Bayesian Semiparametric Joint Model for Longitudinal and Survival Data
Impact of Violations of Measurement Invariance in Longitudinal Mediation Modeling
Random Walks over Point Processes and Their Application in Finance
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
Examination of the Relationship between Alcohol and Dementia in a Longitudinal Study
Neural Rule Ensembles
Shape Constrained Single Index Models for Biomedical Studies
Scalable Nonconvex Optimization Algorithms
Influence Measures for Bayesian Data Analysis
On the Statistical Modeling of Count Data in High Dimensions
Study of Some Issues of Goodness-of-Fit Tests for Logistic Regression
Elastic Functional Principal Component Analysis for Modeling and Testing of Functional Data
Elastic Functional Regression Model
Learning Political Will in Organizations
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
Generalized Mahalanobis Depth in Point Process and Its Application in Neural Coding and Semi-Supervised Learning in Bioinformatics
Traits, Species, and Communities
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
Fused Lasso and Tensor Covariance Learning with Robust Estimation
Critical Issues in Survey Meta-Analysis
Matched-Sample-Based Normalization Method
Semiparametric Bayesian Regression Models for Skewed Responses
Algorithmic Lung Nodule Analysis in Chest Tomography Images
Comparative mRNA Expression Analysis Leveraging Known Biochemical Interactions
Semi-Parametric Generalized Estimating Equations with Kernel Smoother
Developing SRSF Shape Analysis Techniques for Applications in Neuroscience and Genomics
Bayesian Modeling and Variable Selection for Complex Data
Impact of Rater Variability on Relationships among Different Effect-Size Indices for Inter-Rater Agreement between Human and Automated             Essay Scoring
Spatial Statistics and Its Applications in Biostatistics and Environmental Statistics
Testing for the Equality of Two Distributions on High Dimensional Object Spaces and Nonparametric Inference for Location Parameters
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
Nonparametric Detection of Arbitrary Changes to Distributions and Methods of Regularization of Piecewise Constant Functional Data
Trend and Variable-Phase Seasonality Estimation from Functional Data
High Level Image Analysis on Manifolds via Projective Shapes and 3D Reflection Shapes
Small Area Estimation with Random Effects Selection

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