國立東華大學應用數學系

專    題    演    講

主講人：張志浩

Postdoctoral Fellow in Institute of Statistical Science, Academia Sinica

講  題：Asymptotic Theory for Geostatistical Regression Model Selection

時  間：102 年 09 月 27 日 (星期五)  15:20-16:50

地  點：理工一館 A324會議室

摘   要

  Model selection is well studied in statistics which is generally applied by some information criteria, such as Akaike's information criterion and Bayesian information criterion. However, their asymptotic behaviors for selecting geostatistical regression models have not been well studied particularly under the fixed domain asymptotic framework with more and more data observed in a bounded fixed region. This talk aims at introducing some background of geostatistical regression models and asymptotic theory of the generalized information criterion (GIC) we developed. Some examples are given at the end of this talk, in which we show some non-standard behaviors of GIC under the fixed domain asymptotic framework.

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