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06/08/2023
Heterogeneity-aware integrative analyses for ancestry-specific association studies
Ancestry-specific proteome-wide association studies (PWAS) based on gene...
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12/19/2022
Direct covariance matrix estimation with compositional data
Compositional data arise in many areas of research in the natural and bi...
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08/29/2022
Multiresolution categorical regression for interpretable cell type annotation
In many categorical response regression applications, the response categ...
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06/21/2022
Conditional probability tensor decompositions for multivariate categorical response regression
In many modern regression applications, the response consists of multipl...
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11/30/2021
A Convex-Nonconvex Strategy for Grouped Variable Selection
This paper deals with the grouped variable selection problem. A widely u...
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11/23/2021
Binned multinomial logistic regression for integrative cell type annotation
Categorizing individual cells into one of many known cell type categorie...
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08/04/2021
Dimension reduction for integrative survival analysis
We propose a constrained maximum partial likelihood estimator for dimens...
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04/04/2021
Scalable algorithms for semiparametric accelerated failure time models in high dimensions
Semiparametric accelerated failure time (AFT) models are a useful altern...
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01/21/2021
A unified method for multivariate mixed-type response regression
We propose a new method for multivariate response regressions where the ...
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07/15/2020
A likelihood-based approach for multivariate categorical response regression in high dimensions
We propose a penalized likelihood method to fit the bivariate categorica...
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03/01/2020
Estimating Multiple Precision Matrices with Cluster Fusion Regularization
We propose a penalized likelihood framework for estimating multiple prec...
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01/23/2020
A covariance-enhanced approach to multi-tissue joint eQTL mapping with application to transcriptome-wide association studies
Transcriptome-wide association studies based on genetically predicted ge...
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09/11/2019
Insights and algorithms for the multivariate square-root lasso
We study the multivariate square-root lasso, a method for fitting the mu...
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08/31/2018
An explicit mean-covariance parameterization for multivariate response linear regression
We develop a new method to fit the multivariate response linear regressi...
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08/30/2018
Gaussian process regression for survival time prediction with genome-wide gene expression
Predicting the survival time of a cancer patient based on his/her genome...
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09/23/2016