(An) improvement of FDR by applying EM methodEM 방법을 적용한 탐지오류율의 개선

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In building a graphical model, accuracy in edge detection for the model structure is crucial for the quality of the model. We explored methods for improvement of false discovery rate(FDR) by devising an estimation procedure which is more data sensitive. The estimation is made by applying an EM method where the parameters include the density function under the null hypothesis (no edge) and the location parameters of the density functions under the alternative hypothesis (presence of edge). Our approach is compared favorably with a most popular FDR tool in numerical experiments.
Advisors
Kim, Sung Horesearcher김성호researcher
Description
한국과학기술원 :수리과학과,
Publisher
한국과학기술원
Issue Date
2017
Identifier
325007
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 수리과학과, 2017.8,[v, 63 p. :]

Keywords

Discrepancy measure; Edge detection; EM algorithm; Error rate; Graphical Gaussian model; Mixture distribution; Parzen window; 차별성 값; 에지 검출; EM 알고리즘; 탐지오류율; 가우시안 그래프 모형; 혼합 분포; Parzen 윈도우

URI
http://hdl.handle.net/10203/241907
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=718845&flag=dissertation
Appears in Collection
MA-Theses_Ph.D.(박사논문)
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