An Overview of Bayesian Analyses to Spatio-Temporal Data

• 발행기관: 건국대학교 경제경영연구소
• 저자명: Hyoung Moon Kim
• 간행물 정보: 『상경연구』제32권 제2호, 1~12쪽, 전체 12쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2007.11.30

영문 초록

Modern statistical methods are required for analyzing data that have both a temporal and spatial component. Many of the data collected in environmental and health studies have this dual structure. We summarized and suggested some methods to analyze spatio-temporal data. The principal of this article is the modern statistical models and computation techniques to analyze any spatio-temporal data and complex problems in a flexible way. This article focuses on the application of Bayesian probability methods to the development of a new statistical method for the analysis of these data.

목차

I. Introduction

II. Bayesian spatio-temporal methods

III. Conclusion

References

Abstract

키워드

Spatial Statistics Time-Series Analysis MCMC Separable Covariance