An exploration of the role of principal inertia components in information theory

An exploration of the role of principal inertia components in information theory

The principal inertia components of the joint distribution of two random variables X and Y are inherently connected to how an observation of Y is statistically related to a hidden variable X. In this paper, we explore this connection within an information theoretic framework. We show that, under cer...

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Bibliographic Details
Main Authors: Calmon, Flavio P. (Contributor), Varia, Mayank (Contributor), Medard, Muriel (Contributor)
Other Authors: Lincoln Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Department of Mathematics (Contributor), Massachusetts Institute of Technology. Research Laboratory of Electronics (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2016-01-20T17:13:09Z.
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