Presentation 2015-10-02
Online Bayesian estimation of Randomized Response models
Tota Suko, Shunsuke Horii,
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Abstract(in English) In this paper, we treat the randomized-response technique. This is the estimation method for population proportion of a sensitive characteristic. The respondent selects a question from a group of questions by using a randomizing device. And the respondent answers the select question. The respondent's privacy is protected, because interviewer will not know which question is being answered. There are a lot of studies about estimation method for randomized response model. In this paper, we propose an online Bayesian estimation algorithm for randomized-response model.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Randomized Response / Bayes estimation / Privacy-Preserving Data mining / noisy data
Paper # COMP2015-23
Date of Issue 2015-09-25 (COMP)

Conference Information
Committee COMP
Conference Date 2015/10/2(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
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Topics (in English)
Chair Koichi Wada(Hosei Univ.)
Vice Chair Toshimitsu Masuzawa(Osaka Univ.)
Secretary Toshimitsu Masuzawa(Hiroshima Univ.)
Assistant

Paper Information
Registration To Technical Committee on Theoretical Foundations of Computing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Online Bayesian estimation of Randomized Response models
Sub Title (in English)
Keyword(1) Randomized Response
Keyword(2) Bayes estimation
Keyword(3) Privacy-Preserving Data mining
Keyword(4) noisy data
1st Author's Name Tota Suko
1st Author's Affiliation Waseda University(Waseda Univ)
2nd Author's Name Shunsuke Horii
2nd Author's Affiliation Waseda University(Waseda Univ)
Date 2015-10-02
Paper # COMP2015-23
Volume (vol) vol.115
Number (no) COMP-235
Page pp.pp.7-11(COMP),
#Pages 5
Date of Issue 2015-09-25 (COMP)