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Bayesian Portfolio Optimization with Time-Varying Factor Models
Bayesian Portfolio Optimization with Time-Varying Factor Models
Tools for Statistical Analysis on Shape Spaces of Three-Dimensional Object
Tools for Statistical Analysis on Shape Spaces of Three-Dimensional Object
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
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
Dirichlet Depth for Point Process
Dirichlet Depth for Point Process
Machine Learning Methods for Protein Design and Protein-Ligand Docking
Machine Learning Methods for Protein Design and Protein-Ligand Docking
Online and Offline Feature Screening and Applications
Online and Offline Feature Screening and Applications
Investigating the Use of Mortality Data as a Surrogate for Morbidity Data
Investigating the Use of Mortality Data as a Surrogate for Morbidity Data
Parameter Sensitive Feature Selection for Learning on Large Datasets
Parameter Sensitive Feature Selection for Learning on Large Datasets
First Steps towards Image Denoising under Low-Light Conditions
First Steps towards Image Denoising under Low-Light Conditions
Cell and Disease Type Specific Fingerprints in the Mammalian Replication Program
Cell and Disease Type Specific Fingerprints in the Mammalian Replication Program
Tests and Classifications in Adaptive Designs with Applications
Tests and Classifications in Adaptive Designs with Applications
Nonparametric Wavelet Thresholding and Profile Monitoring for Non-Gaussian Errors
Nonparametric Wavelet Thresholding and Profile Monitoring for Non-Gaussian Errors
Probabilistic Methods in Estimation and Prediction of Financial Models
Probabilistic Methods in Estimation and Prediction of Financial Models
Modeling Multivariate Data with Parameter-Based Subspaces
Modeling Multivariate Data with Parameter-Based Subspaces
2D Affine and Projective Shape Analysis, and Bayesian Elastic Active Contours
2D Affine and Projective Shape Analysis, and Bayesian Elastic Active Contours
Efficient Methods for Unsupervised Learning
Efficient Methods for Unsupervised Learning
Individual Patient-Level Data Meta-Analysis
Individual Patient-Level Data Meta-Analysis
Bayesian Methods for Skewed Response Including Longitudinal and Heteroscedastic Data
Bayesian Methods for Skewed Response Including Longitudinal and Heteroscedastic Data
Scalable Nonconvex Optimization Algorithms
Scalable Nonconvex Optimization Algorithms
Inference from Longitudinal Imaging Data Using SPDM Trajectories
Inference from Longitudinal Imaging Data Using SPDM Trajectories
Novel Methods and Applications to Identify Risk Genes and Image-Derived Phenotypes for Alzheimer's Disease
Novel Methods and Applications to Identify Risk Genes and Image-Derived Phenotypes for Alzheimer's Disease
Tensor Data Analysis in High Dimensions
Tensor Data Analysis in High Dimensions
Statistical Inferences on Functional Connectivity in the Hippocampal and Prefrontal Areas
Statistical Inferences on Functional Connectivity in the Hippocampal and Prefrontal Areas
Atom-Atom Distance Based Deep Learning Model for Protein-Ligand Docking Prediction
Atom-Atom Distance Based Deep Learning Model for Protein-Ligand Docking Prediction