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Zero-inflated INGARCH using conditional Poisson and negative binomial : Data application조건부 포아송 및 음이항 분포를 이용한 영-과잉 INGARCH 자료 분석

Other Titles
조건부 포아송 및 음이항 분포를 이용한 영-과잉 INGARCH 자료 분석
Authors
윤재은황선영
Issue Date
Jun-2015
Publisher
한국통계학회
Keywords
영-과잉 변동성 모형; 정수값-GARCH (INGARCH); 조건부 포아송 및 음이항 분포; integer-valued time series; conditional Poisson; zero-inflated INGARCH
Citation
응용통계연구, v.28, no. 3, pp 583 - 592
Pages
10
Journal Title
응용통계연구
Volume
28
Number
3
Start Page
583
End Page
592
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/10509
DOI
10.5351/KJAS.2015.28.3.583
ISSN
1225-066X
Abstract
Zero-inflation has recently attracted much attention in integer-valued time series. This article deals with conditional variance (volatility) modeling for the zero-inflated count time series. We incorporate zero-inflation property into integer-valued GARCH (INGARCH) via conditional Poisson and negative binomial marginals. The Cholera frequency time series is analyzed as a data application. Estimation is carried out using EM-algorithm as suggested by Zhu (2012).
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