Bounds on inference
Lower bounds for the average probability of error of estimating a hidden variable X given an observation of a correlated random variable Y, and Fano's inequality in particular, play a central role in information theory. In this paper, we present a lower bound for the average estimation error ba...
| 主要な著者: | , , , , , |
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| その他の著者: | |
| フォーマット: | 論文 |
| 言語: | en_US |
| 出版事項: |
Institute of Electrical and Electronics Engineers (IEEE)
2014
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| オンライン･アクセス: | http://hdl.handle.net/1721.1/90435 https://orcid.org/0000-0003-2912-7972 https://orcid.org/0000-0003-4059-407X |