Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/47583
Title: Improved Bounds on the Moments of Guessing Cost
Authors: Arslan S.S.
Haytaoglu E.
Keywords: Cost values
Low bound
Renyi's entropy
Upper and lower bounds
Upper Bound
Information theory
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: Guessing a random variable with finite or countably infinite support in which each selection leads to a positive cost value has recently been studied within the context of "guessing cost". In those studies, similar to standard guesswork, upper and lower bounds for the ?-th moment of guessing cost are described in terms of the known measure Rényi's entropy. In this study, we non-trivially improve the known bounds using previous techniques along with new notions such as balancing cost. We have demonstrated that the novel lower bound proposed in this work, achieves 5.84%, 18.47% higher values than that of the known lower bound for ? = 1 and ? = 5, respectively. As for the upper bound, the novel expression provides 10.93%, 5.54% lower values than that of the previously presented bounds for ? = 1 and ? = 5, respectively. © 2022 IEEE.
Description: 2022 IEEE International Symposium on Information Theory, ISIT 2022 -- 26 June 2022 through 1 July 2022 -- 181636
URI: https://doi.org/10.1109/ISIT50566.2022.9834714
https://hdl.handle.net/11499/47583
ISBN: 9781665421591
ISSN: 2157-8095
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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