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05/04/2023
The envelope of a complex Gaussian random variable
This article explicitly characterizes the distribution of the envelope o...
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11/13/2022
Elliptically-Contoured Tensor-variate Distributions with Application to Improved Image Learning
Statistical analysis of tensor-valued data has largely used the tensor-v...
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05/03/2022
A Re-defined and Generalized Percent-Overlap-of-Activation Measure for Studies of fMRI Reproducibility and its Use in Identifying Outlier Activation Maps
Functional Magnetic Resonance Imaging (fMRI) is a popular non-invasive m...
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05/03/2022
Assessing Certainty of Activation or Inactivation in Test-Retest fMRI Studies
Functional Magnetic Resonance Imaging (fMRI) is widely used to study act...
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11/09/2021
Exploratory Factor Analysis of Data on a Sphere
Data on high-dimensional spheres arise frequently in many disciplines ei...
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10/19/2021
Fully Three-dimensional Radial Visualization
We develop methodology for three-dimensional (3D) radial visualization (...
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09/24/2021
Quantitative Matching of Forensic Evidence Fragments Utilizing 3D Microscopy Analysis of Fracture Surface Replicas
Fractured surfaces carry unique details that can provide an accurate qua...
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06/09/2021
Fracture Mechanics-Based Quantitative Matching of Forensic Evidence Fragments
Fractured metal fragments with rough and irregular surfaces are often fo...
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03/30/2021
Model-based clustering of partial records
Partially recorded data are frequently encountered in many applications ...
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03/02/2021
Model-based Personalized Synthetic MR Imaging
Synthetic Magnetic Resonance (MR) imaging predicts images at new design ...
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02/06/2021
A Practical Model-based Segmentation Approach for Accurate Activation Detection in Single-Subject functional Magnetic Resonance Imaging Studies
Functional Magnetic Resonance Imaging (fMRI) maps cerebral activation in...
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12/18/2020
Reduced-Rank Tensor-on-Tensor Regression and Tensor-variate Analysis of Variance
Fitting regression models with many multivariate responses and covariate...
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06/06/2020
An Efficient k-modes Algorithm for Clustering Categorical Datasets
Mining clusters from datasets is an important endeavor in many applicati...
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04/20/2020
CatSIM: A Categorical Image Similarity Metric
We introduce CatSIM, a new similarity metric for binary and multinary tw...
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03/12/2020
Estimating Basis Functions in Massive Fields under the Spatial Mixed Effects Model
Spatial prediction is commonly achieved under the assumption of a Gaussi...
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03/12/2020
Characterising hot stellar systems with confidence
Hot stellar systems (HSS) are a collection of stars bound together by gr...
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03/12/2020
Characterization of hot stellar systems with confidence
Hot stellar systems (HSS) are a collection of stars bound together by gr...
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07/27/2019
A Matrix–free Likelihood Method for Exploratory Factor Analysis of High-dimensional Gaussian Data
This paper proposes a novel profile likelihood method for estimating the...
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07/22/2019
Classification with the matrix-variate-t distribution
Matrix-variate distributions can intuitively model the dependence struct...
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04/21/2019
TiK-means: K-means clustering for skewed groups
The K-means algorithm is extended to allow for partitioning of skewed gr...
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04/06/2019
Three-dimensional Radial Visualization of High-dimensional Continuous or Discrete Data
This paper develops methodology for 3D radial visualization of high-dime...
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05/24/2018
Kernel-estimated Nonparametric Overlap-Based Syncytial Clustering
Standard clustering algorithms usually find regular-structured clusters ...
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03/21/2018
Efficient Bandwidth Estimation in Two-dimensional Filtered Backprojection Reconstruction
A method to efficiently estimate the bandwidth of the reconstruction fil...
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03/21/2018
Efficient Bandwidth Estimation in Two-dimensional Filtered Backprojection PET Reconstruction
A method to efficiently estimate the bandwidth of the reconstruction fil...
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02/23/2018
Reduced Basis Kriging for Big Spatial Fields
In spatial statistics, a common method for prediction over a Gaussian ra...
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02/23/2018
An efficient k-means-type algorithm for clustering datasets with incomplete records
The k-means algorithm is the most popular nonparametric clustering metho...
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12/23/2017
Merging K-means with hierarchical clustering for identifying general-shaped groups
Clustering partitions a dataset such that observations placed together i...
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12/06/2017
