赵鹏: A Multivariate Frequency-Severity Model for Healthcare Data Breaches
发布日期:2024-03-21  字号:   【打印

报告时间:2024年3月23日(星期六) 15:30-17:00

报告地点:翡翠湖校区科教楼B1710室

:赵鹏 教授

工作单位:江苏师范大学

举办单位:数学学院

报告简介

Data breaches in healthcare have become a substantial concern in recent years, and cause millions of dollars in financial losses each year. However, an obstacle to studying data breaches in healthcare is the lack of suitable statistical approaches. We develop a novel multivariate frequency-severity framework to analyze breach frequency and the number of affected individuals at the state level. We discover a positive nonlinear dependence between the transformed frequency and the log-transformed numbers of affected individuals (i.e., severity). Both the in-sample and out-of-sample studies show that the proposed multivariate frequency-severity model that accommodates non-linear dependence has satisfactory fitting and prediction performances.

报告人简介

赵鹏,江苏师范大学教授、副校长。主要从事可靠性统计和网络可靠性等领域的研究工作。先后入选基金委国家优青项目、杰青项目。担任期刊Commun. Stat.副主编(AE)、《应用概率统计》《数理统计与管理》编委。曾获江苏省“双创人才”、江苏省数学成就奖、江苏省教学成果一等奖(第一完成人)等。担任中国现场统计研究会理事、大数据统计分会副理事长、全国工业统计教学研究会常务理事、青年统计学家协会副会长、中国数学会概率统计分会常务理事等

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