research
∙
05/22/2023
Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings
Factors models are routinely used to analyze high-dimensional data in bo...
share
research
∙
04/25/2023
Multi-study factor regression model: an application in nutritional epidemiology
Diet is a risk factor for many diseases. In nutritional epidemiology, st...
research
∙
10/23/2022
Estimating Gaussian graphical models of multi-study data with Multi-Study Factor Analysis
Network models are powerful tools for gaining new insights from complex ...
research
∙
07/24/2020
Bayesian Combinatorial Multi-Study Factor Analysis
Analyzing multiple studies allows leveraging data from a range of source...
research
∙
11/16/2019
Bayesian Ordinal Quantile Regression with a Partially Collapsed Gibbs Sampler
Unlike standard linear regression, quantile regression captures the rela...
research
∙
06/26/2018