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Essays in Mathematical Finance and Machine Learning
Essays in Mathematical Finance and Machine Learning
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20220210092809
- ISBN
- 9798534661118
- DDC
- 519
- 저자명
- Zhang, Zhang.
- 서명/저자
- Essays in Mathematical Finance and Machine Learning
- 발행사항
- [Sl] : University of Maryland, College Park, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 202 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
- 주기사항
- Advisor: Madan, Dillip B.
- 학위논문주기
- Thesis (Ph.D.)--University of Maryland, College Park, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Applied mathematics
- 일반주제명
- Artificial intelligence
- 일반주제명
- Statistics
- 일반주제명
- Finance
- 일반주제명
- Deep learning
- 일반주제명
- Regression analysis
- 일반주제명
- Investments
- 일반주제명
- Aggregates
- 일반주제명
- Approximation
- 일반주제명
- Noise
- 일반주제명
- Performance evaluation
- 일반주제명
- Neural networks
- 일반주제명
- Flexibility
- 일반주제명
- Classification
- 일반주제명
- Support vector machines
- 일반주제명
- Variables
- 일반주제명
- Probability
- 일반주제명
- Algorithms
- 일반주제명
- Decision trees
- 키워드
- Decision support
- 기타저자
- University of Maryland, College Park Applied Mathematics and Scientific Computation
- 기본자료저록
- Dissertations Abstracts International. 83-02B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520220210092809
■020 ▼a9798534661118
■035 ▼a(MiAaPQ)AAI28412026
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a519
■1001 ▼aZhang, Zhang.
■24510▼aEssays in Mathematical Finance and Machine Learning
■260 ▼a[Sl]▼bUniversity of Maryland, College Park▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a202 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: B.
■500 ▼aAdvisor: Madan, Dillip B.
■5021 ▼aThesis (Ph.D.)--University of Maryland, College Park, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0117.
■650 4▼aApplied mathematics
■650 4▼aArtificial intelligence
■650 4▼aStatistics
■650 4▼aFinance
■650 4▼aDeep learning
■650 4▼aRegression analysis
■650 4▼aInvestments
■650 4▼aGeneralized linear models
■650 4▼aAggregates
■650 4▼aApproximation
■650 4▼aNoise
■650 4▼aPerformance evaluation
■650 4▼aNeural networks
■650 4▼aFlexibility
■650 4▼aClassification
■650 4▼aSupport vector machines
■650 4▼aVariables
■650 4▼aProbability
■650 4▼aAlgorithms
■650 4▼aDecision trees
■653 ▼aFixed income market
■653 ▼aDecision support
■653 ▼aTrend-following signal
■653 ▼aPortfolio and risk management
■653 ▼aMarkov modulated Bilateral gamma mean-reversion model
■690 ▼a0364
■690 ▼a0800
■690 ▼a0501
■690 ▼a0508
■690 ▼a0463
■71020▼aUniversity of Maryland, College Park▼bApplied Mathematics and Scientific Computation.
■7730 ▼tDissertations Abstracts International▼g83-02B.
■773 ▼tDissertation Abstract International
■790 ▼a0117
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16051512▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
