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08/24/2023
Powerful Significance Testing for Unbalanced Clusters
Clustering methods are popular for revealing structure in data, particul...
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12/01/2022
Data Integration Via Analysis of Subspaces (DIVAS)
Modern data collection in many data paradigms, including bioinformatics,...
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10/29/2022
Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images
Automated region of interest detection in histopathological image analys...
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10/13/2022
Trends in Northern Hemispheric Snow Presence
This paper develops a mathematical model and statistical methods to quan...
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09/30/2022
A Partially Functional Linear Modeling Framework for Integrating Genetic, Imaging, and Clinical Data
This paper is motivated by the joint analysis of genetic, imaging, and c...
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02/20/2022
Pairwise Nonlinear Dependence Analysis of Genomic Data
In The Cancer Genome Atlas (TCGA) dataset, there are many interesting no...
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10/10/2021
Scaled torus principal component analysis
A particularly challenging context for dimensionality reduction is multi...
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09/25/2021
Statistical Inference for Data Integration
In the age of big data, data integration is a critical step especially i...
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09/06/2021
Non-Euclidean Analysis of Joint Variations in Multi-Object Shapes
This paper considers joint analysis of multiple functionally related str...
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03/22/2021
New Perspectives on Centering
Data matrix centering is an ever-present yet under-examined aspect of da...
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01/02/2021
Visual High Dimensional Hypothesis Testing
In exploratory data analysis of known classes of high dimensional data, ...
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08/30/2020
diproperm: An R Package for the DiProPerm Test
High-dimensional low sample size (HDLSS) data sets emerge frequently in ...
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12/01/2019
Joint and individual analysis of breast cancer histologic images and genomic covariates
A key challenge in modern data analysis is understanding connections bet...
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09/04/2019
Theory of high-dimensional outliers
This study concerns the issue of high dimensional outliers which are cha...
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08/29/2019
Variable screening based on Gaussian Centered L-moments
An important challenge in big data is identification of important variab...
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07/17/2019
Deep Multi-View Learning via Task-Optimal CCA
Canonical Correlation Analysis (CCA) is widely used for multimodal data ...
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06/13/2018
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology
Multiple instance (MI) learning with a convolutional neural network enab...
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04/27/2018
Estimation of the number of spikes using a generalized spike population model and application to RNA-seq data
Although a generalized spike population model has been actively studied ...
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06/15/2017
Distance weighted discrimination of face images for gender classification
We illustrate the advantages of distance weighted discrimination for cla...
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04/07/2017
Angle-Based Joint and Individual Variation Explained
Integrative analysis of disparate data blocks measured on a common set o...
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04/03/2017
Geometric Insights into Support Vector Machine Behavior using the KKT Conditions
The Support Vector Machine (SVM) is a powerful and widely used classific...
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11/19/2014
Large-Margin Classification with Multiple Decision Rules
Binary classification is a common statistical learning problem in which ...
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02/20/2011