Studies on disclosure control of microdata and statistical analysis of disclosed data

微观数据披露控制及披露数据统计分析研究

• 批准号: 14208023
• 负责人: TAKEMURA Akimichi
• 金额: $ 30.2万
• 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 (A)
• 财政年份: 2002
• 资助国家: 日本
• 起止时间: 2002 至 2005
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-14208023/
• 关键词: superpopulation model; population unique; multinomial distribution; Dirichlet distribution; local suppression; デイリクレ分布

Throughout the years of this research our group obtained many significant results in the field of disclosure control of microdata and its applications.Early in this research period our group edited a special volume (No.2 of Volume 51, December of 2003) of Proceedings of the Institute of Statistical Mathematics published by Institute of Statistical Mathematics on the topic of theoretical research of disclosure control techniques. This special volume contains more than 200 pages of reviews and original results of our group and many people became aware of the importance and promise of this field.On the important problem of estimation of population uniques in a microdata set, Hoshino obtained many remarkable original results extending the Pitman model and mixed Poisson model to a new class of distributions of random partitions. Furthermore non-parametric maximum likelihood estimation by Sai became feasible and practical for actual official microdata sets after many improvements.Furthermore as pointed out by Prof.Fienberg, who visited Japan by our invitation, we became aware of the important application of the new field of "computational algebraic statistics" to disclosure control problems. Based on this idea, Takemura established a unified strategy of disclosure risk assessment and disclosure control using decomposable models.

本课题组多年来在微观数据的披露控制及其应用领域取得了许多有意义的成果，在本课题组前期编辑了《统计数学研究所学报》第51卷第2期（2003年12月出版）的关于披露控制技术理论研究的专题卷。这个特别的卷包含超过200页的评论和原始结果，我们的小组和许多人开始意识到这一领域的重要性和前景。在重要的问题估计人口uniques在微观数据集，星野获得了许多显着的原始结果扩展的皮特曼模型和混合泊松模型的一类新的分布的随机分区。此外，Sai的非参数极大似然估计经过多次改进后，对于实际的官方微观数据集变得可行和实用。此外，正如应我们邀请访问日本的Fienberg教授所指出的，我们意识到“计算代数统计”这一新领域在披露控制问题上的重要应用。基于这一思想，武村建立了一个统一的战略，披露风险评估和披露控制使用分解模型。

项目成果

星野 伸明: "超母集団モデルによる個票開示リスク評価"統計数理. 51巻 第2号. 297-319 (2003)

Nobuaki Hoshino：“使用超总体模型评估个人数据披露风险”，《统计数学》，第 51 卷，第 2. 297-319 期（2003 年）。

Akimichi Takemura, Satoshi Kuriki: "On the equivalence of the tube and Euler characteristic methods for the distribution of the maximum of Gaussian fields over piecewise smooth domains"Annals of Applied Probability. Vol.12, No.2,. 768-796 (2002)

Akimichi Takemura、Satoshi Kuriki：“关于分段光滑域上高斯场最大值分布的管和欧拉特征方法的等价性”应用概率年鉴。

Akimichi Takemura: "Evaluation of per-record identification risk by additive modeling of interaction for contingency table cell probabilities"IASS Proceedings-SEOUL 2001 International Association of Survey Statisticians. 220-235 (2002)

Akimichi Takemura：“通过对列联表单元概率的交互作用进行附加建模来评估每条记录的识别风险”IASS 论文集-首尔 2001 年国际调查统计学家协会。

竹村 彰通, 谷口正信共著: "統計学の基礎I線形モデルからの出発"岩波書店. 230 (2003)

竹村明道和谷口正信合着：《统计学基础 I 从线性模型开始》岩波书店 230 (2003)。

Partial correlation and conditional correlation as measures of conditional independence

• DOI: 10.1111/j.1467-842x.2004.00360.x
• 发表时间: 2004-12-01
• 期刊: AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS
• 影响因子: 1.1
• 作者: Baba, K;Shibata, R;Sibuya, M
• 通讯作者: Sibuya, M