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...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2016
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| Online Access: | http://hdl.handle.net/1721.1/100951 https://orcid.org/0000-0003-2912-7972 https://orcid.org/0000-0003-4059-407X |