This is a preview. Log in through your library . Abstract Based on an idea of Granger (1986. "Oxford Bulletin of Economics and Statistics" 48, 213-228), we analyze a new vector autoregressive model ...

A standard theorem concerning the decomposition of a representation of a compact group on a Hilbert space $E$ is generalized to the case when $E$ is locally convex ...

Under this system, the 119 million or more entries of Wikidata are embedded into high-dimensional vectors using a model developed in collaboration with Jina. AI. Those vector embeddings are hosted on ...

Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable. Suppose you wanted to ...

Through an interdisciplinary collaboration with the Department of Statistics at the University of California at Davis, we are developing a novel statistical inferential framework for multi-resolution ...