DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kim, Sung-Ho | - |
dc.contributor.advisor | 김성호 | - |
dc.contributor.author | Kim, Yong-Tae | - |
dc.contributor.author | 김용태 | - |
dc.date.accessioned | 2011-12-14T04:54:57Z | - |
dc.date.available | 2011-12-14T04:54:57Z | - |
dc.date.issued | 2004 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=237841&flag=dissertation | - |
dc.identifier.uri | http://hdl.handle.net/10203/42097 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 응용수학전공, 2004.2, [ v, 45 p. ] | - |
dc.description.abstract | Consider building a log-linear model of 20 categorical variables, each of which is of three categories. Dealing with these variables all together is not feasible due to lack of memory capacity and weeks-long computing time. We have to deal with about 3.5 billion cells of contingency table. This thesis aims to propose a method and apply it to build a log-linear model for those variables. The method consists of firstly splitting the whole variable set into some subsets of manageable sizes, secondly building hierarchical log-linear models for those subsets of variables, and thirdly combining these marginal models into a model of the whole data set. A main theme in combining marginal models is that decomposability of probability distribution is preserved between a model and its submodel and that a particular type of separators in the graph of model is found in a decomposable graphical model and in a collection of its submodels. These separators, which are called minimal connectors in the thesis, are a guideline for model combination. A theory for the guideline is laid out to the effect that we may use the minimal connectors for drawing a blueprint based on which a combined model is formed. This theoretic result is then carried over to a more larger set of hierarchical log-linear models by applying the concept of interaction graph. The theoretic result of the thesis is applied to the data set of 20 variables, and the model-searching process is described in detail until a final model is reached. | eng |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | LOG-LINEAR | - |
dc.subject | LARGE LOG-LINEAR | - |
dc.subject | 거대 로그선형모형 | - |
dc.subject | 로그선형모형 | - |
dc.title | (An) empirical study for large log-linear modelling | - |
dc.title.alternative | 거대 로그선형모형 개발을 위한 경험적 연구 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 237841/325007 | - |
dc.description.department | 한국과학기술원 : 응용수학전공, | - |
dc.identifier.uid | 020023119 | - |
dc.contributor.localauthor | Kim, Sung-Ho | - |
dc.contributor.localauthor | 김성호 | - |
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