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Bayesian Learning for Complex Systems under Model Uncertainty
Bayesian Learning for Complex Systems under Model Uncertainty
상세정보
- 자료유형
- 학위논문파일 국외
- ISBN
- 9798534694819
- DDC
- 310
- 서명/저자
- Bayesian Learning for Complex Systems under Model Uncertainty
- 발행사항
- [Sl] : State University of New York at Stony Brook, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 189 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
- 주기사항
- Advisor: Bugallo, Monica F.
- 학위논문주기
- Thesis (Ph.D.)--State University of New York at Stony Brook, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Statistics
- 일반주제명
- Population
- 일반주제명
- Collaboration
- 일반주제명
- Regression analysis
- 일반주제명
- Random variables
- 일반주제명
- Mathematical models
- 일반주제명
- Brain research
- 일반주제명
- Normal distribution
- 일반주제명
- Optimization
- 일반주제명
- Signal processing
- 일반주제명
- Dissertations & theses
- 일반주제명
- Robots
- 일반주제명
- Approximation
- 일반주제명
- Methods
- 일반주제명
- Algorithms
- 일반주제명
- Probability distribution
- 일반주제명
- Markov analysis
- 기타저자
- State University of New York at Stony Brook Electrical Engineering
- 기본자료저록
- Dissertations Abstracts International. 83-02B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008220131s2021 us c eng d■020 ▼a9798534694819
■035 ▼a(MiAaPQ)AAI28541507
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a310
■1001 ▼aEl-Laham, Yousef H.
■24510▼aBayesian Learning for Complex Systems under Model Uncertainty
■260 ▼a[Sl]▼bState University of New York at Stony Brook▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a189 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: B.
■500 ▼aAdvisor: Bugallo, Monica F.
■5021 ▼aThesis (Ph.D.)--State University of New York at Stony Brook, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0771.
■650 4▼aStatistics
■650 4▼aPopulation
■650 4▼aCollaboration
■650 4▼aRegression analysis
■650 4▼aRandom variables
■650 4▼aMathematical models
■650 4▼aBrain research
■650 4▼aNormal distribution
■650 4▼aOptimization
■650 4▼aSignal processing
■650 4▼aDissertations & theses
■650 4▼aRobots
■650 4▼aApproximation
■650 4▼aMethods
■650 4▼aAlgorithms
■650 4▼aProbability distribution
■650 4▼aMarkov analysis
■653 ▼aBayesian statistics
■653 ▼aImportance sampling
■653 ▼aMonte Carlo methods
■653 ▼aParticle filtering
■653 ▼aState-space models
■690 ▼a0463
■71020▼aState University of New York at Stony Brook▼bElectrical Engineering.
■7730 ▼tDissertations Abstracts International▼g83-02B.
■773 ▼tDissertation Abstract International
■790 ▼a0771
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16052349▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
