Asymptotic Theory of Generalized Information Criterion for Geostatistical Regression Model Selection

@inproceedings{Chang2014AsymptoticTO,
  title={Asymptotic Theory of Generalized Information Criterion for Geostatistical Regression Model Selection},
  author={Chih-Hao Chang and Hsin-Cheng Huang and Ching-Kang Ing},
  year={2014}
}
Information criteria, such as Akaike’s information criterion and Bayesian information criterion are often applied in model selection. 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. In this article, we study the generalized information criterion (GIC) for selecting geostatistical regression models under a more general… CONTINUE READING
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