DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kim, Heeyoung | - |
dc.contributor.advisor | 김희영 | - |
dc.contributor.author | Doo, Woo-Jin | - |
dc.date.accessioned | 2019-09-03T02:41:55Z | - |
dc.date.available | 2019-09-03T02:41:55Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=733838&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/266234 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 산업및시스템공학과, 2018.2,[iii, 22 p. :] | - |
dc.description.abstract | We develop a hierarchical Bayesian model for predicting whether a specific batter reaches on-base from a matchup with a specific pitcher. Using less than 100 lines of historical matchup data from a particular batter/pitcher matchup, our proposed model allows estimating the probability of the event occurring in the matchup of corresponding players. We also show that the defense ability of pitcher's team is negatively correlated to the probability that the opponent team's batter reaches on-base and extend our model with a new variable. The proposed model is estimated from Markov chain Monte Carlo method. We compare the performance of our model to the log5 model and generalized log5 model which are commonly used methods for modeling the probability of the event in baseball. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | baseball prediction▼ahierarchical Bayes▼aMarkov chain Monte Carlo method▼alog5 model | - |
dc.subject | 야구예측▼a계층적 베이즈▼a마코프체인 몬테카를로 방법▼a로그5 모델 | - |
dc.title | Modeling the probability of a batter/pitcher matchup event | - |
dc.title.alternative | 베이지안 방법을 이용한 타자/투수 매치업 이벤트 확률 모델링 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :산업및시스템공학과, | - |
dc.contributor.alternativeauthor | 두우진 | - |
dc.title.subtitle | a Bayesian approach | - |
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