Abstract: The multivariate Hawkes process (MHP) is widely used for analyzing data streams that interact with each other, where events generate new events within their own dimension (via ...

Abstract: One advancing machine-learning-based analysis approach for multivariate time-series data is representing data as a third-order tensor and then applying dimensionality reduction (DR) methods.

In recent decades, the global rise in chronic non-communicable diseases, including obesity, type 2 diabetes, cardiovascular disease, and metabolic syndrome, has been closely linked to poor diet habits ...

The new dataset forms part of the PCA’s 2025 Annual Tied Tenants Survey and gives each pub company a far clearer picture of how its own tenants rate key elements of the tied relationship. While ...