Bayesian predictive modeling of multi-source multi-way data. (arXiv:2208.03396v1 [stat.ME])

We develop a Bayesian approach to predict a continuous or binary outcome from
data that are collected from multiple sources with a multi-way (i.e..
multidimensional tensor) structure. As a motivating example we consider
molecular data from multiple 'omics sources, each measured over multiple
developmental time points, as predictors of early-life iron deficiency (ID) in
a rhesus monkey model. We use a linear model with a low-rank structure on the
coefficients to capture multi-way dependence and model the variance of the …

arxiv bayesian data modeling predictive predictive modeling