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Irregular Spaced Data, Spatio-temporal Modeling and Clustering of Time Series.- [electronic resource] : eb, Soudeep.
Irregular Spaced Data, Spatio-temporal Modeling and Clustering of Time Series.- [electronic resource] : eb, Soudeep.
상세정보
- 자료유형
- 학위논문(국외)
- 청구기호
- 저자명
- 서명/저자
- Irregular Spaced Data, Spatio-temporal Modeling and Clustering of Time Series. - [electronic resource] : eb, Soudeep.
- 발행사항
- 발행사항
- 형태사항
- 1 online resource(110 p.)
- 주기사항
- Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
- 주기사항
- Adviser: Wei Biao Wu.
- 학위논문주기
- Thesis (Ph.D.)--The University of Chicago, 2018.
- 초록/해제
- 요약In this thesis, three different problems in time series and random field have been discussed. First, for a general class of stationary random fields, we study the asymptotic properties of different parametric and nonparametric spectral density e
- 초록/해제
- 요약The second problem revolves around developing a spatio-temporal model with space-time interaction for air pollution data (PM2.5), which enables one to provide forecasts and insights about the air quality. The proposed model uses a parametric spa
- 초록/해제
- 요약The third problem in the thesis deals with a time series clustering problem. Using L2 distance between nonparametric spectral density estimates, a hierarchical clustering algorithm has been developed. Simulation studies show that the power of th
- 일반주제명
- 기타저자
- 기본자료저록
- Dissertation Abstracts International. 80-01B(E).
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 원문정보보기
- 소장사항
-
201812 2019
MARC
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■00520190102172515
■007cr
■020 ▼a9780438370968
■035 ▼a(MiAaPQ)AAI10840918
■035 ▼a(MiAaPQ)uchicago:14488
■040 ▼aMiAaPQ▼cMiAaPQ
■08204▼a310
■090 ▼a전자도서(박사논문)
■1001 ▼aDeb, Soudeep.▼0(orcid)0000-0003-0567-7339
■24510▼aIrregular Spaced Data, Spatio-temporal Modeling and Clustering of Time Series.▼h[electronic resource]▼ceb, Soudeep.
■260 ▼a[S.l.]▼bThe University of Chicago. ▼c2018
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2018
■300 ▼a1 online resource(110 p.)
■500 ▼aSource: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
■500 ▼aAdviser: Wei Biao Wu.
■5021 ▼aThesis (Ph.D.)--The University of Chicago, 2018.
■520 ▼aIn this thesis, three different problems in time series and random field have been discussed. First, for a general class of stationary random fields, we study the asymptotic properties of different parametric and nonparametric spectral density e
■520 ▼aThe second problem revolves around developing a spatio-temporal model with space-time interaction for air pollution data (PM2.5), which enables one to provide forecasts and insights about the air quality. The proposed model uses a parametric spa
■520 ▼aThe third problem in the thesis deals with a time series clustering problem. Using L2 distance between nonparametric spectral density estimates, a hierarchical clustering algorithm has been developed. Simulation studies show that the power of th
■590 ▼aSchool code: 0330.
■650 4▼aStatistics.
■690 ▼a0463
■71020▼aThe University of Chicago▼bStatistics.
■7730 ▼tDissertation Abstracts International▼g80-01B(E).
■773 ▼tDissertation Abstract International
■790 ▼a0330
■791 ▼aPh.D.
■792 ▼a2018
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T14999759▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a201812▼f2019
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