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Class of Mixed-Distribution Models with Applications in Financial Data Analysis
Class of Mixed-Distribution Models with Applications in Financial Data Analysis
Predictive Accuracy Measures for Binary Outcomes
Predictive Accuracy Measures for Binary Outcomes
Extrinsic Analysis of Manifold Valued Data
Extrinsic Analysis of Manifold Valued Data
Bayesian Generalized Polychotomous Response Models and Applications
Bayesian Generalized Polychotomous Response Models and Applications
Optimal Linear Representations of Images under Diverse Criteria
Optimal Linear Representations of Images under Diverse Criteria
Novel Statistical Approaches for Gene Selection and Network Analysis
Novel Statistical Approaches for Gene Selection and Network Analysis
New Semiparametric Methods for Recurrent Events Data
New Semiparametric Methods for Recurrent Events Data
Scalable and Structured High Dimensional Covariance Matrix Estimation
Scalable and Structured High Dimensional Covariance Matrix Estimation
Model-Based Depth with Applications to Functional Data
Model-Based Depth with Applications to Functional Data
Time-Varying Mixture Models for Financial Risk Management
Time-Varying Mixture Models for Financial Risk Management
Weighted Adaptive Methods for Multivariate Response Models with an HIV/Neurocognitive Application
Weighted Adaptive Methods for Multivariate Response Models with an HIV/Neurocognitive Application
Bayesian Portfolio Optimization with Time-Varying Factor Models
Bayesian Portfolio Optimization with Time-Varying Factor Models
Testing for the Equality of Two Distributions on High Dimensional Object Spaces and Nonparametric Inference for Location Parameters
Testing for the Equality of Two Distributions on High Dimensional Object Spaces and Nonparametric Inference for Location Parameters
Steerable Convolutional Neural Networks
Steerable Convolutional Neural Networks
Probabilistic and Graphical Analysis of Evidence in O.J. Simpson's Murder Case Using Bayesian Networks
Probabilistic and Graphical Analysis of Evidence in O.J. Simpson's Murder Case Using Bayesian Networks
Tools for Statistical Analysis on Shape Spaces of Three-Dimensional Object
Tools for Statistical Analysis on Shape Spaces of Three-Dimensional Object
Examination of the Relationship between Alcohol and Dementia in a Longitudinal Study
Examination of the Relationship between Alcohol and Dementia in a Longitudinal Study
Interrelating of Longitudinal Processes
Interrelating of Longitudinal Processes
Bayesian Hierarchical Models with Latent Conjugate Multivariate Random Effects
Bayesian Hierarchical Models with Latent Conjugate Multivariate Random Effects
Bayesian Dynamic Survival Models for Longitudinal Aging Data
Bayesian Dynamic Survival Models for Longitudinal Aging Data
Semi-Parametric Generalized Estimating Equations with Kernel Smoother
Semi-Parametric Generalized Estimating Equations with Kernel Smoother
Riemannian Shape Analysis of Curves and Surfaces
Riemannian Shape Analysis of Curves and Surfaces
Inference for Semiparametric Time-Varying Covariate Effect Relative Risk Regression          Models
Inference for Semiparametric Time-Varying Covariate Effect Relative Risk Regression Models
Statistical Shape Analysis on Manifolds with Applications to Planar Contours and          Structural Proteomics
Statistical Shape Analysis on Manifolds with Applications to Planar Contours and Structural Proteomics
Statistical Analysis of Trajectories on Riemannian Manifolds
Statistical Analysis of Trajectories on Riemannian Manifolds
Matched-Sample-Based Normalization Method
Matched-Sample-Based Normalization Method
Prediction and Testing for Non-Parametric Random Function Signals in a Complex System
Prediction and Testing for Non-Parametric Random Function Signals in a Complex System
Generalized Mahalanobis Depth in Point Process and Its Application in Neural Coding and Semi-Supervised Learning in Bioinformatics
Generalized Mahalanobis Depth in Point Process and Its Application in Neural Coding and Semi-Supervised Learning in Bioinformatics
Sparse Factor Auto-Regression for Forecasting Macroeconomic Time Series with Very Many Predictors
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
Nonparametric Estimation of Three Dimensional Projective Shapes with Applications in Medical Imaging and in Pattern Recognition
Dirichlet Depth for Point Process
Dirichlet Depth for Point Process
Study of the Asymptotic Properties of Lasso Estimates for Correlated Data
Study of the Asymptotic Properties of Lasso Estimates for Correlated Data
Adaptive Series Estimators for Copula Densities
Adaptive Series Estimators for Copula Densities
Theories on Group Variable Selection in Multivariate Regression Models
Theories on Group Variable Selection in Multivariate Regression Models
Quasi-3D Statistical Inversion of Oceanographic Tracer Data
Quasi-3D Statistical Inversion of Oceanographic Tracer Data
Statistical Modeling and Testing of Shapes of Planar Objects
Statistical Modeling and Testing of Shapes of Planar Objects
Goodness-of-Tests for Logistic Regression
Goodness-of-Tests for Logistic Regression
Nonparametric Estimation of Three Dimensional Projective Shapes with Applications in Medical Imaging and in Pattern          Recognition
Nonparametric Estimation of Three Dimensional Projective Shapes with Applications in Medical Imaging and in Pattern Recognition
Estimation from Data Representing a Sample of Curves
Estimation from Data Representing a Sample of Curves
Geometric Approaches for Analysis of Images, Densities and Trajectories on Manifolds
Geometric Approaches for Analysis of Images, Densities and Trajectories on Manifolds
Envelopes, Subspace Learning and Applications
Envelopes, Subspace Learning and Applications
Examining the Relationship of Dietary Component Intakes to Each Other and to Mortality
Examining the Relationship of Dietary Component Intakes to Each Other and to Mortality
Influence Measures for Bayesian Data Analysis
Influence Measures for Bayesian Data Analysis
Association Models for Clustered Data with Binary and Continuous Responses
Association Models for Clustered Data with Binary and Continuous Responses
Statistical Modelling and Applications of Neural Spike Trains
Statistical Modelling and Applications of Neural Spike Trains
Analysis of Multivariate Data with Random Cluster Size
Analysis of Multivariate Data with Random Cluster Size
Shape Constrained Single Index Models for Biomedical Studies
Shape Constrained Single Index Models for Biomedical Studies
New Approaches of Differential Gene Expression Analysis and Cancer Immune Evasion Mechanism Identification
New Approaches of Differential Gene Expression Analysis and Cancer Immune Evasion Mechanism Identification
Impact of Missing Data on Building Prognostic Models and Summarizing Models Across Studies
Impact of Missing Data on Building Prognostic Models and Summarizing Models Across Studies
Marked Determinantal Point Processes
Marked Determinantal Point Processes

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