Local disclosure control techniques of statistical microdata sets

统计微观数据集的本地披露控制技术

• 批准号: 11558026
• 负责人: TAKEMURA Akimichi
• 金额: $ 4.48万
• 依托单位: The University of Tokyo
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 1999
• 资助国家: 日本
• 起止时间: 1999 至 2001
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-11558026/
• 关键词: Superpopulation model; Population unique; Multinomial distribution; Dirichlet distribution

We obtained several important results on the disclosure control techniques of statistical microdata sets in this year.Takemura gave an invited talk on the paper "Evaluation of per-record identification risk by additive modeling of interaction for contingency table cell probabilities" at the meeting of International Statistical Institute. This paper will be included in a separate proceedings published by International Association of Survey Statisticians. A paper "Minimum unsafe and maximum safe sets of variables for disclosure risk assessment of individual records in a microdata set" will be published in Journal of Japan Statistical Society The paper "On application of Pitman's sampling formula to microdata disclosure risk assessment" by Nobuaki Hoshino was published in Journal of Official Statistics. As a new research results, two discussion papers "On the random clustering with the conditional inverse Gaussian-Poisson distribution" and "On limiting random partition structure derived from the conditional inverse Gaussian-Poisson distribution" are published as discussion paper in Carnegie Mellon university.

在这一年里，我们在统计微观数据集的披露控制技术方面取得了一些重要的成果。Takemura在国际统计研究所会议上就《基于偶发表元概率交互作用的加性建模的每记录识别风险评估》一文作了特邀演讲。这篇论文将包括在国际调查统计学家协会出版的另一份会议记录中。《日本统计学会杂志》将发表一篇论文《微观数据集中单个记录的披露风险评估的最小不安全和最大安全变量集》。星野信明的论文《关于皮特曼抽样公式在微观数据披露风险评估中的应用》发表在《官方统计杂志》上。作为一项新的研究成果，卡内基梅隆大学发表了两篇讨论论文《关于条件逆高斯-泊松分布的随机聚类》和《关于条件逆高斯-泊松分布的极限随机划分结构》。

项目成果

Akimichi Takemura (Hidehiko Kamiya 共著): "Rankings generated by spherical discriminant analysis"Journal of the Japan Statistical Society. 30. 43-51 (2000)

Akimichi Takemura（与 Hidehiko Kamiya 合着）：“通过球形判别分析生成的排名”日本统计学会杂志 30. 43-51 (2000)。

竹村彰通 (栗木 哲 共著): "正規確率場の最大値の分布-tubeの方法とEuler標数の方法"統計数理. 47・1. 201-221 (1999)

Akimichi Takemura（与栗木聪合着）：“正态随机场最大值的分布 - 管法和欧拉特征法” 统计数学 47・1（1999）。

S. Kuriki and A. Takemura: "Tail probabilities of the maxima of multilinear forms and their applications of associated chi-bar-squared distribution"Ann. Statist.. vol. 29. 328-371 (2001)

S. Kuriki 和 A. Takemura：“多线性形式最大值的尾部概率及其相关卡方平方分布的应用”Ann。

S. Kuriki and A. Takemura: "Shrinkage estimation towards a closed convex set with a smooth boundary"Journal of Multivariate Analysis. vol. 75. 79-111 (2000)

S. Kuriki 和 A. Takemura：“对具有平滑边界的闭凸集的收缩估计”多元分析杂志。

N. Hoshino and A. Takemura: "On Reduction of Finite Sample Variance by Extended Latin Hypercube Sampling"Bernoulli. vol. 6. 1035-1050 (2000)

N. Hoshino 和 A. Takemura：“通过扩展拉丁超立方采样减少有限样本方差”伯努利。