arXiv Analytics

Sign in

arXiv:1406.5577 [math.PR]AbstractReferencesReviewsResources

Graphical structure of conditional independencies in determinantal point processes

Tvrtko Tadić

Published 2014-06-21, updated 2014-06-29Version 2

Determinantal point process have recently been used as models in machine learning and this has raised questions regarding the characterizations of conditional independence. In this paper we investigate characterizations of conditional independence. We describe some conditional independencies through the conditions on the kernel of a determinantal point process, and show many can be obtained using the graph induced by a kernel of the $L$-ensemble.

Related articles: Most relevant | Search more
arXiv:2107.07213 [math.PR] (Published 2021-07-15)
Determinantal Point Processes in the Flat Limit
arXiv:1311.1027 [math.PR] (Published 2013-11-05)
Perfect Simulation of Determinantal Point Processes
arXiv:1403.0408 [math.PR] (Published 2014-03-03, updated 2014-03-04)
On the Intersection Property of Conditional Independence and its Application to Causal Discovery