发布日期:2024-12-19 12:58 点击次数:54
主题:An Integrated GMM Shrinkage Approach with Consistent Moment Selection from Multiple External Sources 基于多源外部信息一致矩聘用的集成广义矩预料压缩要领人妻熟女
主讲东谈主:好意思国威斯康星大学麦迪逊分校统计系 邵军证明
主执东谈主:统计学院副院长 兰伟证明
时刻:12月26日15:00-16:00
场所:柳林校区诚正楼1320
主理单元:统计学院 科研处
主讲东谈主简介:
邵军,好意思国威斯康星大学麦迪逊分校统计系、华东师范大学统计学院证明,入选国度外洋高眉目东谈主才运筹帷幄,国际数理统计学会(IMS)和好意思国统计学会(ASA)会士。他是Statistical Theory and Related Fields的创始主编,曾担任JASA及Statistica Sinica等繁密巨擘统计学期刊的主编、纠合主编及副主编;曾任好意思国威斯康星大学麦迪逊分校统计系主任(2005-2009)、国际泛华统计学会会长(2007)。自1987年以来,在统计学鸿沟的国际顶尖期刊上发表论文40余篇,在重抽样手艺、变量聘用、生物统计和缺失数据的统计科罚等方面作念了多数独创性责任。
内容摘要:
Interest has grown in analyzing primary internal data by utilizing some independent external aggregated statistics for efficiency gain. However, when population heterogeneity exists, inappropriate incorporation may lead to a biased estimator. With multiple external sources under generalized estimation equations and possibly heterogeneous populations, we propose an integrated generalized moment method that can perform a data-driven selection of valid moment equations from external sources and make efficient parameter estimation simultaneously. Moment equation selection consistency and asymptotic normality are established for the proposed estimator. Further, when the sample sizes of all external sources are large compared to the internal sample size, asymptotically the proposed estimator is more efficient than the estimator based on the internal data only and is oracle-efficient in the sense that it is as efficient as the oracle estimator based on all valid moment equations. Simulation studies confirm the theoretical results and the efficiency of the proposed method empirically. An example is also included for illustration.
国产婷婷综合在线精品在分析里面数据时,商讨者越来越倾向于讹诈一些寂然的外部汇总信息来栽种预料恶果。关系词,当存在数据异质性时,不恰当的整合可能会导致预料量产生偏差。针对存在多个外部数据源且数据源总体可能存在异质性的广义预料方程,咱们提议了一种集成广义矩预料要领,该要领不错从外部数据源中进行数据运行的灵验矩方程聘用,并同期进行高效的参数预料。咱们为所提议的预料量建设了矩方程聘用的一致性和渐近正态性。何况当统共外部数据源的样本量浩大于里面数据样本量时人妻熟女,本文所提议预料量的渐近恶果高于仅基于里面数据的预料量,且具有Oracle恶果,即其恶果与基于统共灵验矩方程的Oracle预料量额外。模拟截至考据了该要领的表面截至和灵验性。此外,咱们还通过一个本色例子进行了证据。