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Posterior approximation with variational method
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 이재용 | - |
| dc.contributor.author | 권남준 | - |
| dc.date.accessioned | 2009-12-15T02:21:10Z | - |
| dc.date.available | 2009-12-15T02:21:10Z | - |
| dc.date.copyright | 2006. | - |
| dc.date.issued | 2006 | - |
| dc.identifier.uri | http://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000047141 | kor |
| dc.identifier.uri | https://hdl.handle.net/10371/20755 | - |
| dc.description | Thesis(master`s)--서울대학교 대학원 :통계학과,2006. | ko |
| dc.format.extent | 6, 23 leaves | ko |
| dc.language.iso | ko | - |
| dc.publisher | 서울대학교 대학원 | ko |
| dc.subject | 변분법 | ko |
| dc.subject | Variational method | ko |
| dc.subject | 베이즈정리 | ko |
| dc.subject | Bayes`s rule | ko |
| dc.subject | 마코브 체인 몬테카를로 알고리즘 | ko |
| dc.subject | Markov Chain Monte Carlo algorithm | ko |
| dc.subject | 라플라스 근사법 | ko |
| dc.subject | Laplace approximation method | ko |
| dc.subject | 로지스틱 회귀분석 | ko |
| dc.subject | Logistic regression | ko |
| dc.title | Posterior approximation with variational method | ko |
| dc.type | Thesis | - |
| dc.contributor.department | 통계학과 | - |
| dc.description.degree | Master | ko |
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