(An) algorithm for log-linear modeling by using marginal models = 주변 모델을 이용한 로그-선형 모델링 알고리즘

We address an issue of graphical modeling based on a collection of marginal models under an assumption that the model is graphically decomposable. In this paper, we build up an algorithm for combining marginal models. A main idea of the algorithm is that the relation between variables of marginal models, separation property, has to be preserved in the combined model structure. A separator, which is called prime separator in the paper, leads to a good method for model combination and the algorithm uses the prime separators to make out a result. This combining algorithm enables us to develop larger graphical models that cannot be handled as a single model. The algorithm is applied to six marginal models involving 40 variables and the goodness-of-fit test methods are introduced for measuring between the true model and the result model.
Advisors
Kim, Sung-Horesearcher김성호researcher
Publisher
한국과학기술원
Issue Date
2009
Identifier
327741/325007  / 020035218
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 수리과학과, 2009. 8., [ vi, 40 p. ]

Keywords

결합모델; 분리가능 그래프; 주요 분리자; 주변 모델; combined model structure; decomposable graph; prime separator; marginal model; 결합모델; 분리가능 그래프; 주요 분리자; 주변 모델; combined model structure; decomposable graph; prime separator; marginal model

URI
http://hdl.handle.net/10203/41921
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=327741&flag=t
Appears in Collection
MA-Theses_Ph.D.(박사논문)
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