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Regressing over Linear-Circular Data Using a Mixture of Linear-Linear Regression Models
Semiparametric Bayesian Regression Models for Skewed Responses
Semiparametric Survival Analysis Using Models with Log-Linear Median
Practical Methods for Equivalence and Non-Inferiority Studies with Survival Response
Comparison of Estimators in Hierarchical Linear Modeling
Small Area Estimation with Random Effects Selection
High-Dimensional Statistical Methods for Tensor Data and Efficient Algorithms
Nonparametric Change Point Detection Methods for Profile Variability
Monte Carlo Likelihood Estimation for Conditional Autoregressive Models with Application to Sparse Spatiotemporal Data
Parametric and Nonparametric Spherical Regression with Diffeomorphisms
High Level Image Analysis on Manifolds via Projective Shapes and 3D Reflection Shapes
Revealing Sparse Signals in Functional Data
Sparse Feature and Element Selection in High-Dimensional Vector Autoregressive Models
Online Feature Selection with Annealing and Its Applications
Studies of Joint Structure Sparsity Pursuit in the Applications of Hierarchical Variable Selection and Fused Lasso
Learning Political Will in Organizations
Effective and Efficient Approach for Clusterability Evaluation
Class of Mixed-Distribution Models with Applications in Financial Data Analysis
Predictive Accuracy Measures for Binary Outcomes
New Semiparametric Methods for Recurrent Events Data
Transformation Models for Survival Data Analysis and Applications
Bayesian Generalized Polychotomous Response Models and Applications
Statistical Analysis on Object Spaces with Applications
Optimal Linear Representations of Images under Diverse Criteria
Bayesian Semiparametric Joint Model for Longitudinal and Survival Data
Statistical Approach to an Ocean Circulation Inverse Problem
Intensity Estimation in Poisson Processes with Phase Variability
Non-Parametric and Semi-Parametric Estimation and Inference with Applications to Finance and Bioinformatics
Weighted Adaptive Methods for Multivariate Response Models with an HIV/Neurocognitive Application
Riemannian Framework for Annotated Curves Analysis
Scalable and Structured High Dimensional Covariance Matrix Estimation
Multistage Process Monitoring Using Group Exponential Weighted Moving Average Control Chart
Class of Semiparametric Volatility Models with Applications to Financial Time Series
Time-Varying Mixture Models for Financial Risk Management
Bayesian Portfolio Optimization with Time-Varying Factor Models
Probabilistic and Graphical Analysis of Evidence in O.J. Simpson's Murder Case Using Bayesian Networks
Testing for the Equality of Two Distributions on High Dimensional Object Spaces and Nonparametric Inference for Location Parameters
Random Walks over Point Processes and Their Application in Finance
Riemannian Shape Analysis of Curves and Surfaces
Predictors of Reading Comprehension
Sparse Factor Auto-Regression for Forecasting Macroeconomic Time Series with Very Many Predictors
Nonparametric Estimation of Three Dimensional Projective Shapes with Applications in Medical Imaging and in Pattern          Recognition
Statistical Shape Analysis on Manifolds with Applications to Planar Contours and          Structural Proteomics
Investigating the Chi-Square-Based Model-Fit Indexes for WLSMV and ULSMV Estimators
Generalized Mahalanobis Depth in Point Process and Its Application in Neural Coding and Semi-Supervised Learning in Bioinformatics
Tools for Statistical Analysis on Shape Spaces of Three-Dimensional Object
Examination of the Relationship between Alcohol and Dementia in a Longitudinal Study
Critical Issues in Survey Meta-Analysis
Interrelating of Longitudinal Processes
Bayesian Dynamic Survival Models for Longitudinal Aging Data