메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject
Humanities
General Humanities History Philosophy Religious Studies Linguistics and Literature Other Humanities
Social science
General Social Science Business Management Tourism Education Military Science Library and Information Science Law Sociology Journalism and Media Studies Psychological Science Political Science and Diplomacy Geography Public Administration Economics International Trade Anthropology Other Social Science
Natural science
General Natural Science Physics Biology Life Sciences Mathematics/Statistics Astronomy Earth Science Chemistry Other Natural Science
Engineering
General Engineering Architectural Engineering Mechanical Engineering Industrial Engineering Material/Energy Engineering Electrical and Electronic Engineering Marine and Ocean Engineering Chemical Engineering Computer Science Other Engineering
Medical science
General Medical Science Nursing Science Veterinary Pharmacy Traditional Korean Medicine Basic Medicine Clinical Medicine Other Medicine
Agriculture and Fishery
General Agriculture and Fishery Agriculture Fishery Science Food Science Forestry Animal Husbandry Marine Transportation Studies Other Agriculture and Fishery
Art and Kinesiology
General Arts Design Fine Arts Cosmetology Photography Music Fashion Kinesiology Performing Media Arts Other Arts and Kinesiology
Interdisciplinary Studies
Interdisciplinary Research Science and Technology Studies Brain and Cognitive Science Technology Policy Other Interdisciplinary Studies

KOR

Stochastic epidemic model estimation using Monte Carlo expection maximization algorithm
Recommendations
Search
Questions

몬테 카를로 expectation maximization 방법을 이용한 확률적 질병 확산 모형 추정 연구

논문 기본 정보

Type
Academic journal
Author
Boseung Choi (고려대학교) Yong Hwa Yoon (대구대학교)
Journal
The Korean Data and Information Science Society Journal of the Korean Data And Information Science Society Vol.29 No.1 KCI Excellent Accredited Journal
Published
2018.1
Pages
97 - 109 (13page)
DOI
10.7465/jkdi.2018.29.1.97

Usage

DBpia Top 5%Percentile based on 2-year
usage in the same subject category.
cover
📌
Topic
📖
Background
🔬
Method
🏆
Result
Stochastic epidemic model estimation using Monte Carlo expection maximization algorithm
Ask AI
Recommendations
Search
Questions

Abstract· Keywords

Report Errors
In this paper, we introduce a statistical method for modeling the spread of disease. Historically, the ordinary differential equation is proposed to construct the epidemic model. However, the deterministic approach for the epidemic model is too simplified to capture the stochastic behavior of spread of disease. We consider the stochastic kinetic networks model for the epidemic modeling and we proposed MCEM (Monte Carlo expectation maximization) method to perform the statistical inference for reaction constants of the stochastic epidemic model. We applied our MCEM method to a synthetic data from the representative stochastic epidemic model, named SIRS (susceptible - infected - recovered - susceptible) model and we compared proposed MCEM method with two Bayesian MCMC methods. The MCEM result gives stable and faster convergence results. We also MCEM method to the data from the onset of early pandemic of H1N1 in the US. The proposed MCEM method can be an alternative to the estimation method for the stochastic epidemic model.
#몬테 카를로 EM 알고리즘 #에스아이알에스 모형 #질병 확산 모형 #확률적 화학 반응 모형 #Epidemic model #MCEM algorithm #SIRS model #stochastic chemical reaction model

Contents

요약
1. 서론
2. 통계적 모형 추정 방법
3. 자료 분석
4. 결론
References
Abstract

References (19)

Add References
[단행본] - Andersson, H. / 2000 / Stochastic epidemic models and their statistical analysis / Springer google schola [학술지(정기간행물)] - Boys, R. J. / 2008 / Bayesian inference for a discretely observed stochastic kinetic model / Statistics and Computing 18 : 125 ~ 135 Crossref [학술지(정기간행물)] - 최보승 / 2015 / 확률적 방법에 기반한 화학 반응 모형의 모수 추정 방법 / 한국데이터정보과학회지 26 (4) : 813 ~ 826 dbpia [학술지(정기간행물)] - Choi, B. / 2012 / Inference for discretely observed stochastic kinetic networks with applications to epidemic modeling / Biostatistics 13 : 153 ~ 165 Crossref [학술지(정기간행물)] - Deijfen, M. / 2011 / Epidemics and vaccination on weighted graphs / Mathematical biosciences 232 : 57 ~ 65 Crossref

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Frequently Viewed Together

Development of epidemic model using the stochastic method
Soo Rack Ryu ,  Bo Seung Choi Journal of the Korean Data And Information Science Society 2015 .04
A study of epidemic model using SEIR model
Mijin Do ,  Jongtae Kim ,  Boseung Choi Journal of the Korean Data And Information Science Society 2017 .03
An estimation method of probability of infection using Reed - Frost model
Eunjin Eom ,  Jinseub Hwang ,  Boseung Choi Journal of the Korean Data And Information Science Society 2017 .01
An estimation method for stochastic reaction model
Boseung Choi Journal of the Korean Data And Information Science Society 2015 .08
전염병 확산 억제ㆍ대응책 모색을 위한 질병 확산시뮬레이션 모형의 구성
이미림 Industrial Engineering Magazine 2016 .12

Recently viewed articles

요한제3서 강해
나부열The Presbyterian General Assembly Thelogical Seminary1939.07
 A Comparative Study on the Inter-generation Consciousness about Annual Cyclical Rituals and Day-series Culture
Younga Ae Ju2015.05
 The Meaning of Class Community Competency Change through Volleyball Class with Sport Education Model
Seunghyeon OhKorean Association of Sport Pedagogy2019.10
 Analysis of Coach`s Expertise Perceived by Taekwondo Athletes
Choi, You-Lee, Kim 외 1명The Korean Society Of Sports Science2015.02

Comments(0)

0

Write first comments.

UCI(KEPA) : I410-ECN-0101-2018-041-001766141