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08/15/2023
Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data
In a traditional Gaussian graphical model, data homogeneity is routinely...
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05/14/2023
Bayesian Flexible Modelling of Spatially Resolved Transcriptomic Data
Single-cell RNA-sequencing technologies may provide valuable insights to...
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04/19/2023
Blocked Gibbs sampler for hierarchical Dirichlet processes
Posterior computation in hierarchical Dirichlet process (HDP) mixture mo...
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02/17/2023
Graphical Dirichlet Process
We consider the problem of clustering grouped data with possibly non-exc...
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02/16/2023
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior
Tensor regression methods have been widely used to predict a scalar resp...
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10/23/2022
Functional Bayesian Networks for Discovering Causality from Multivariate Functional Data
Multivariate functional data arise in a wide range of applications. One ...
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10/14/2022
Individualized Inference in Bayesian Quantile Directed Acyclic Graphical Models
We propose an approach termed "qDAGx" for Bayesian covariate-dependent q...
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09/18/2022
Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation
Causal discovery for quantitative data has been extensively studied but ...
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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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08/01/2022
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing
Health monitoring applications increasingly rely on machine learning tec...
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05/14/2022
QHD: A brain-inspired hyperdimensional reinforcement learning algorithm
Reinforcement Learning (RL) has opened up new opportunities to solve a w...
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01/28/2022
Causal Discovery with Heterogeneous Observational Data
We consider the problem of causal discovery (structure learning) from he...
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01/19/2022
Ordinal Causal Discovery
Causal discovery for purely observational, categorical data is a long-st...
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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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07/03/2020
BAGEL: A Bayesian Graphical Model for Inferring Drug Effect Longitudinally on Depression in People with HIV
Access and adherence to antiretroviral therapy (ART) has transformed the...
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05/17/2020
Bayesian biclustering for microbial metagenomic sequencing data via multinomial matrix factorization
High-throughput sequencing technology provides unprecedented opportuniti...
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04/11/2020
A Bayesian Nonparametric Approach for Inferring Drug Combination Effects on Mental Health in People with HIV
Although combination antiretroviral therapy (ART) is highly effective in...
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06/28/2019
Consensus Monte Carlo for Random Subsets using Shared Anchors
We present a consensus Monte Carlo algorithm that scales existing Bayesi...
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05/28/2019
Adversarial Domain Adaptation Being Aware of Class Relationships
Adversarial training is a useful approach to promote the learning of tra...
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09/04/2018
Bayesian Double Feature Allocation for Phenotyping with Electronic Health Records
We propose a categorical matrix factorization method to infer latent dis...
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06/07/2018
