Presentation | 2014-07-17 α-divergence derived as the generalized rate function in Tsallis statistics Hiroki Suyari, Antonio M. Scarfone, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The generalized binomial distribution in Tsallis statistics (power-law system) is explicitly formulated from the precise q-Stirling's formula. The α-divergence (or q-divergence) is uniquely derived from the generalized binomial distribution in the sense that when α → -1 (i.e., q → 1) it recovers KL divergence obtained from the standard binomial distribution. Based on these combinatorial considerations, it is shown that α-divergence (or q-divergence) is appeared as the generalized rate function in the large deviation estimate in Tsallis statistics. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | α-divergence / generalized rate function / generalized binomial distribution / large deviation estimate / power-law system |
Paper # | IT2014-16 |
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Committee | IT |
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Conference Date | 2014/7/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Information Theory (IT) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | α-divergence derived as the generalized rate function in Tsallis statistics |
Sub Title (in English) | |
Keyword(1) | α-divergence |
Keyword(2) | generalized rate function |
Keyword(3) | generalized binomial distribution |
Keyword(4) | large deviation estimate |
Keyword(5) | power-law system |
1st Author's Name | Hiroki Suyari |
1st Author's Affiliation | Graduate School of Advanced Integration Science, Chiba University() |
2nd Author's Name | Antonio M. Scarfone |
2nd Author's Affiliation | Istituto dei Sistemi Complessi (ISC-CNR) |
Date | 2014-07-17 |
Paper # | IT2014-16 |
Volume (vol) | vol.114 |
Number (no) | 138 |
Page | pp.pp.- |
#Pages | 6 |
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