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stat.AP2025
Bayesian integrative factor analysis methods, with application in nutrition and genomics data
Mavis Liang, Blake Hansen, Alejandra Avalos-Pacheco +1
High-dimensional data are crucial in biomedical research. Integrating such data from multiple studies is a critical process that relies on the choice of advanced statistical models…
stat.AP2024
Bayesian Inference of Multiple Ising Models for Heterogeneous Public Opinion Survey Networks
Alejandra Avalos-Pacheco, Andrea Lazzerini, Monia Lupparelli +1
In public opinion studies, the relationships between opinions on different topics are likely to shift based on the characteristics of the respondents. Thus, understanding the compl…
stat.AP2018
Heterogeneous large datasets integration using Bayesian factor regression
Alejandra Avalos-Pacheco, David Rossell, Richard S. Savage
Two key challenges in modern statistical applications are the large amount of information recorded per individual, and that such data are often not collected all at once but in bat…