OLR-WA: Online Weighted Average Linear Regression in Multivariate Data Streams

This article introduces a method for online linear regression in the context of multivariate data streams. The focus is on handling data that arrives sequentially and potentially changes over time. The use of weighted averaging suggests an attempt to prioritize more recent data points, which is a common strategy in dealing with non-stationary data. The source being ArXiv indicates this is likely a research paper, detailing a novel algorithm or approach.