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08/30/2023
Multiple Augmented Reduced Rank Regression for Pan-Cancer Analysis
Statistical approaches that successfully combine multiple datasets are m...
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11/29/2022
Bayesian Simultaneous Factorization and Prediction Using Multi-Omic Data
Understanding of the pathophysiology of obstructive lung disease (OLD) i...
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08/05/2022
Bayesian predictive modeling of multi-source multi-way data
We develop a Bayesian approach to predict a continuous or binary outcome...
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10/11/2021
Multiway sparse distance weighted discrimination
Modern data often take the form of a multiway array. However, most class...
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02/28/2021
A Hierarchical Spike-and-Slab Model for Pan-Cancer Survival Using Pan-Omic Data
Pan-omics, pan-cancer analysis has advanced our understanding of the mol...
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02/26/2021
sJIVE: Supervised Joint and Individual Variation Explained
Analyzing multi-source data, which are multiple views of data on the sam...
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10/07/2020
Bayesian Distance Weighted Discrimination
Distance weighted discrimination (DWD) is a linear discrimination method...
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02/07/2020
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis
Several modern applications require the integration of multiple large da...
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10/15/2019
Bayesian variable selection in hierarchical difference-in-differences models
A popular method for estimating a causal treatment effect with observati...
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10/08/2019
A Pan-Cancer and Polygenic Bayesian Hierarchical Model for the Effect of Somatic Mutations on Survival
We built a novel Bayesian hierarchical survival model based on the somat...
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06/09/2019
Integrative Factorization of Bidimensionally Linked Matrices
Advances in molecular "omics'" technologies have motivated new methodolo...
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01/31/2019
Bayesian nonparametric multiway regression for clustered binomial data
We introduce a Bayesian nonparametric regression model for data with mul...
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08/07/2018
Generalized Integrative Principal Component Analysis for Multi-Type Data with Block-Wise Missing Structure
High-dimensional multi-source data are encountered in many fields. Despi...
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01/04/2017
Tensor-on-tensor regression
We propose a framework for the linear prediction of a multi-way array (i...
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09/11/2016
Supervised multiway factorization
We describe a probabilistic PARAFAC/CANDECOMP (CP) factorization for mul...
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06/26/2016
Discriminating sample groups with multi-way data
High-dimensional linear classifiers, such as the support vector machine ...
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02/28/2013
Bayesian Consensus Clustering
The task of clustering a set of objects based on multiple sources of dat...
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02/20/2011