원문정보
Domestic earthquake prediction using bayesian approach
초록
영어
We predict the earthquake rate in Korea following Bayesian approach. We make a model that can utilize the data to predict other levels of earthquake. An event tree model which is a frequently used graphical tool in describing accident initiation and escalation to more severe accident is transformed into an influence diagram model. Prior distributions for earthquake occurrence rate and probabilities to escalating to more severe earthquakes are assumed and likelihood of number of earthquake in a given period of time is assessed. And then posterior distributions are obtained based on observed data. We find that the minor level of earthquake is increasing while major level of earthquake is less likely.
목차
1.서론
2. 연구에 대한 이론적 배경
2.1. 국외 연구
2.2. 국내 연구
2.3. 국내외 연구 분석
2.4. 효율적인 예측 기법의 제시
3. 예측 모형 개발
3.1. 상호연관도를 이용한 베이지안 예측 모형
3.2. 데이터 분석 및 예측
4. 결론
5. 참고문헌