2 papers
stat.ME2026
Compressed Bayesian Tensor Regression
Roberto Casarin, Radu Craiu, Qing Wang
To address the common problem of high dimensionality in tensor regressions, we introduce a generalized tensor random projection method that embeds high-dimensional tensor-valued co…
stat.ME2025
A Dynamic Stochastic Block Model for Multidimensional Networks
Ovielt Baltodano López, Roberto Casarin
The availability of relational data can offer new insights into the functioning of the economy. Nevertheless, modeling the dynamics in network data with multiple types of relations…