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05/06/2022
A Flexible Quasi-Copula Distribution for Statistical Modeling
Copulas, generalized estimating equations, and generalized linear mixed ...
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03/21/2022
Feature Selection for Vertex Discriminant Analysis
We revisit vertex discriminant analysis (VDA) from the perspective of pr...
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03/06/2022
A Better Computational Framework for L_2E Regression
Building on previous research of Chi and Chi (2022), the current paper r...
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10/14/2021
Algorithms for Sparse Support Vector Machines
Many problems in classification involve huge numbers of irrelevant featu...
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09/09/2021
A Proximal Distance Algorithm for Likelihood-Based Sparse Covariance Estimation
This paper addresses the task of estimating a covariance matrix under a ...
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06/05/2021
Nonconvex Optimization via MM Algorithms: Convergence Theory
The majorization-minimization (MM) principle is an extremely general fra...
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04/02/2021
Algorithms for Poisson Phase Retrieval
This paper discusses algorithms for phase retrieval where the measuremen...
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09/02/2020
Extensions to the Proximal Distance of Method of Constrained Optimization
The current paper studies the problem of minimizing a loss f(x) subject ...
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02/20/2020
A Scalable Framework for Sparse Clustering Without Shrinkage
Clustering, a fundamental activity in unsupervised learning, is notoriou...
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02/14/2019
OPENMENDEL: A Cooperative Programming Project for Statistical Genetics
Statistical methods for genomewide association studies (GWAS) continue t...
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11/29/2018
BioSimulator.jl: Stochastic simulation in Julia
Biological systems with intertwined feedback loops pose a challenge to m...
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11/08/2018
Orthogonal Trace-Sum Maximization: Applications, Local Algorithms, and Global Optimality
This paper studies a problem of maximizing the sum of traces of matrix q...
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11/03/2017
Generalized Linear Model Regression under Distance-to-set Penalties
Estimation in generalized linear models (GLM) is complicated by the pres...
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08/04/2016
Iterative Hard Thresholding for Model Selection in Genome-Wide Association Studies
A genome-wide association study (GWAS) correlates marker variation with ...
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04/01/2013
Splitting Methods for Convex Clustering
Clustering is a fundamental problem in many scientific applications. Sta...
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11/16/2012
