报告人：Peter J.G. Teunissen（代尔夫特理工大学 教授）

时间：2023.11.14 19:00-21:25

地点：彰武北大楼401室

报告人简介

Peter J.G. Teunissen教授是荷兰皇家科学院院士、澳大利亚联邦科学院院士、拜仁科学院外籍院士、国际大地测量协会副主席、中国科学院荣誉博士、国际知名的大地测量学者、世界上被引用频次最高的大地测量学家之一。Teunissen教授长期致力于卫星导航和大地测量理论与应用研究，发明了世界著名的LAMBDA算法，曾获国际大地测量协会最高奖Bomford奖、Alexander von Humboldt奖、澳大利亚科研界最高奖—联邦奖学金奖和美国卫星导航学会卫星部授予的最高荣誉开普勒奖等。

报告简介

The DIA method for the detection, identification and adaptation of model misspecifications combines estimation with testing. The aim of the presentation is to introduce a unifying framework for the rigorous capture of this combination. By using a canonical model formulation and a partitioning of misclosure space, we show that the whole estimation–testing scheme can be captured in one single DIA estimator. We study the characteristics of this estimator and discuss some of its distributional properties. With the distribution of the DIA estimator provided, one can then study all the characteristics of the combined estimation and testing scheme, as well as analyse how they propagate into final outcomes. Examples are given, as well as a discussion on how the distributional properties compare with their usage in practice.