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11/09/2022
singR: An R package for Simultaneous non-Gaussian Component Analysis for data integration
This paper introduces an R package that implements Simultaneous non-Gaus...
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09/09/2022
Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification
Deep learning models achieve state-of-the art results in predicting bloo...
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08/07/2022
Sparse semiparametric discriminant analysis for high-dimensional zero-inflated data
Sequencing-based technologies provide an abundance of high-dimensional b...
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07/29/2022
Exponential canonical correlation analysis with orthogonal variation
Canonical correlation analysis (CCA) is a standard tool for studying ass...
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06/26/2022
Hierarchical nuclear norm penalization for multi-view data
The prevalence of data collected on the same set of samples from multipl...
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05/17/2022
A case study of glucose levels during sleep using fast function on scalar regression inference
Continuous glucose monitors (CGMs) are increasingly used to measure bloo...
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08/20/2021
latentcor: An R Package for estimating latent correlations from mixed data types
We present `latentcor`, an R package for correlation estimation from dat...
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05/11/2021
Phylogenetically informed Bayesian truncated copula graphical models for microbial association networks
Microorganisms play a critical role in host health. The advancement of h...
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05/07/2021
Double-matched matrix decomposition for multi-view data
We consider the problem of extracting joint and individual signals from ...
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06/24/2020
Fast computation of latent correlations
Latent Gaussian copula models provide a powerful means to perform multi-...
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05/08/2020
Compressing Large Sample Data for Discriminant Analysis
Large-sample data became prevalent as data acquisition became cheaper an...
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05/01/2020
Simultaneous Non-Gaussian Component Analysis (SING) for Data Integration in Neuroimaging
As advances in technology allow the acquisition of complementary informa...
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02/12/2019
Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring
We consider the two-group classification problem and propose a kernel cl...
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11/20/2018
Joint association and classification analysis of multi-view data
Multi-view data, that is matched sets of measurements on the same subjec...
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09/12/2018
Prediction and estimation consistency of sparse multi-class penalized optimal scoring
Sparse linear discriminant analysis via penalized optimal scoring is a s...
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07/13/2018
Sparse semiparametric canonical correlation analysis for data of mixed types
Canonical correlation analysis investigates linear relationships between...
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01/04/2018
Prediction Error Bounds for Linear Regression With the TREX
The TREX is a recently introduced approach to sparse linear regression. ...
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11/13/2017
Sparse quadratic classification rules via linear dimension reduction
We consider the problem of high-dimensional classification between the t...
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07/20/2017
Structural Learning and Integrative Decomposition of Multi-View Data
The increased availability of the multi-view data (data on the same samp...
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08/01/2016
Oracle Inequalities for High-dimensional Prediction
The abundance of high-dimensional data in the modern sciences has genera...
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04/22/2016
Non-convex Global Minimization and False Discovery Rate Control for the TREX
The TREX is a recently introduced method for performing sparse high-dime...
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11/23/2014
Optimal variable selection in multi-group sparse discriminant analysis
This article considers the problem of multi-group classification in the ...
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10/22/2014
Penalized versus constrained generalized eigenvalue problems
We investigate the difference between using an ℓ_1 penalty versus an ℓ_1...
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03/24/2014
Simultaneous sparse estimation of canonical vectors in the p>>N setting
This article considers the problem of sparse estimation of canonical vec...
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01/21/2013
