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You searched for subject:(Multivariate time series). Showing records 1 – 30 of 95 total matches.

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1. Gorrostieta, Cristina. Dependence in Complex Multivariate Time Series.

Degree: PhD, Biostatistics, 2012, Brown University

 In this dissertation work, I develop novel extensions of two classical techniques for the statistical analysis of dependencies in multivariate time series, namely vector autoregressive… (more)

Subjects/Keywords: Multivariate Time Series

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gorrostieta, C. (2012). Dependence in Complex Multivariate Time Series. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:297536/

Chicago Manual of Style (16th Edition):

Gorrostieta, Cristina. “Dependence in Complex Multivariate Time Series.” 2012. Doctoral Dissertation, Brown University. Accessed January 22, 2020. https://repository.library.brown.edu/studio/item/bdr:297536/.

MLA Handbook (7th Edition):

Gorrostieta, Cristina. “Dependence in Complex Multivariate Time Series.” 2012. Web. 22 Jan 2020.

Vancouver:

Gorrostieta C. Dependence in Complex Multivariate Time Series. [Internet] [Doctoral dissertation]. Brown University; 2012. [cited 2020 Jan 22]. Available from: https://repository.library.brown.edu/studio/item/bdr:297536/.

Council of Science Editors:

Gorrostieta C. Dependence in Complex Multivariate Time Series. [Doctoral Dissertation]. Brown University; 2012. Available from: https://repository.library.brown.edu/studio/item/bdr:297536/


Clemson University

2. Xia, Yanbo. Parsimonious Space-Time Temperature Series Modeling.

Degree: PhD, Mathematical Sciences, 2017, Clemson University

 Climatological time series are often periodically and spatially correlated. High dimensionality issues arise when modeling periodically and spatially correlated time series data "“ often, even… (more)

Subjects/Keywords: climate data; multivariate time series; parameter consolidation; parsimony; periodic time series

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APA (6th Edition):

Xia, Y. (2017). Parsimonious Space-Time Temperature Series Modeling. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2009

Chicago Manual of Style (16th Edition):

Xia, Yanbo. “Parsimonious Space-Time Temperature Series Modeling.” 2017. Doctoral Dissertation, Clemson University. Accessed January 22, 2020. https://tigerprints.clemson.edu/all_dissertations/2009.

MLA Handbook (7th Edition):

Xia, Yanbo. “Parsimonious Space-Time Temperature Series Modeling.” 2017. Web. 22 Jan 2020.

Vancouver:

Xia Y. Parsimonious Space-Time Temperature Series Modeling. [Internet] [Doctoral dissertation]. Clemson University; 2017. [cited 2020 Jan 22]. Available from: https://tigerprints.clemson.edu/all_dissertations/2009.

Council of Science Editors:

Xia Y. Parsimonious Space-Time Temperature Series Modeling. [Doctoral Dissertation]. Clemson University; 2017. Available from: https://tigerprints.clemson.edu/all_dissertations/2009


Temple University

3. Ghalwash, Mohamed. Interpretable Early Classification of Multivariate Time Series.

Degree: PhD, 2013, Temple University

Computer and Information Science

Recent advances in technology have led to an explosion in data collection over time rather than in a single snapshot. For… (more)

Subjects/Keywords: Computer science; Information science; Bioinformatics;

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APA (6th Edition):

Ghalwash, M. (2013). Interpretable Early Classification of Multivariate Time Series. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,239730

Chicago Manual of Style (16th Edition):

Ghalwash, Mohamed. “Interpretable Early Classification of Multivariate Time Series.” 2013. Doctoral Dissertation, Temple University. Accessed January 22, 2020. http://digital.library.temple.edu/u?/p245801coll10,239730.

MLA Handbook (7th Edition):

Ghalwash, Mohamed. “Interpretable Early Classification of Multivariate Time Series.” 2013. Web. 22 Jan 2020.

Vancouver:

Ghalwash M. Interpretable Early Classification of Multivariate Time Series. [Internet] [Doctoral dissertation]. Temple University; 2013. [cited 2020 Jan 22]. Available from: http://digital.library.temple.edu/u?/p245801coll10,239730.

Council of Science Editors:

Ghalwash M. Interpretable Early Classification of Multivariate Time Series. [Doctoral Dissertation]. Temple University; 2013. Available from: http://digital.library.temple.edu/u?/p245801coll10,239730


Texas A&M University

4. Binder, Kyle Edwin. The Past, Present, and Future of the U.S. Electric Power Sector: Examining Regulatory Changes Using Multivariate Time Series Approaches.

Degree: 2016, Texas A&M University

 The U.S. energy sector has undergone continuous change in the regulatory, technological, and market environments. These developments show no signs of slowing. Accordingly, it is… (more)

Subjects/Keywords: Electric Power Sector; Regulatory Impacts; Pricing Dynamics; Multivariate Time Series

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APA (6th Edition):

Binder, K. E. (2016). The Past, Present, and Future of the U.S. Electric Power Sector: Examining Regulatory Changes Using Multivariate Time Series Approaches. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156991

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Binder, Kyle Edwin. “The Past, Present, and Future of the U.S. Electric Power Sector: Examining Regulatory Changes Using Multivariate Time Series Approaches.” 2016. Thesis, Texas A&M University. Accessed January 22, 2020. http://hdl.handle.net/1969.1/156991.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Binder, Kyle Edwin. “The Past, Present, and Future of the U.S. Electric Power Sector: Examining Regulatory Changes Using Multivariate Time Series Approaches.” 2016. Web. 22 Jan 2020.

Vancouver:

Binder KE. The Past, Present, and Future of the U.S. Electric Power Sector: Examining Regulatory Changes Using Multivariate Time Series Approaches. [Internet] [Thesis]. Texas A&M University; 2016. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/1969.1/156991.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Binder KE. The Past, Present, and Future of the U.S. Electric Power Sector: Examining Regulatory Changes Using Multivariate Time Series Approaches. [Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156991

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Southern California

5. Parvini, Farid. An algorithmic approach for static and dynamic gesture recognition.

Degree: PhD, Computer Science, 2009, University of Southern California

 In this dissertation, a novel approach for recognizing static and dynamic hand gestures by analyzing the raw data streams generated by the sensors attached to… (more)

Subjects/Keywords: gesture recognition; multivariate time series; bio-mechanical characteristics

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APA (6th Edition):

Parvini, F. (2009). An algorithmic approach for static and dynamic gesture recognition. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/266378/rec/656

Chicago Manual of Style (16th Edition):

Parvini, Farid. “An algorithmic approach for static and dynamic gesture recognition.” 2009. Doctoral Dissertation, University of Southern California. Accessed January 22, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/266378/rec/656.

MLA Handbook (7th Edition):

Parvini, Farid. “An algorithmic approach for static and dynamic gesture recognition.” 2009. Web. 22 Jan 2020.

Vancouver:

Parvini F. An algorithmic approach for static and dynamic gesture recognition. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Jan 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/266378/rec/656.

Council of Science Editors:

Parvini F. An algorithmic approach for static and dynamic gesture recognition. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/266378/rec/656


University of Manchester

6. Tapinos, Avraam. Time series data mining in systems biology.

Degree: PhD, 2013, University of Manchester

 Analysis of time series data constitutes an important activity in many scientific disciplines. Over the last years there has been an increase in the collection… (more)

Subjects/Keywords: 006.3; Data Mining; Multivariate Time Series; Systems Biology; Similarity Measure

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APA (6th Edition):

Tapinos, A. (2013). Time series data mining in systems biology. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/time-series-data-mining-in-systems-biology(5b538723-503b-4b82-959b-d4567e8d4658).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.568664

Chicago Manual of Style (16th Edition):

Tapinos, Avraam. “Time series data mining in systems biology.” 2013. Doctoral Dissertation, University of Manchester. Accessed January 22, 2020. https://www.research.manchester.ac.uk/portal/en/theses/time-series-data-mining-in-systems-biology(5b538723-503b-4b82-959b-d4567e8d4658).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.568664.

MLA Handbook (7th Edition):

Tapinos, Avraam. “Time series data mining in systems biology.” 2013. Web. 22 Jan 2020.

Vancouver:

Tapinos A. Time series data mining in systems biology. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2020 Jan 22]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/time-series-data-mining-in-systems-biology(5b538723-503b-4b82-959b-d4567e8d4658).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.568664.

Council of Science Editors:

Tapinos A. Time series data mining in systems biology. [Doctoral Dissertation]. University of Manchester; 2013. Available from: https://www.research.manchester.ac.uk/portal/en/theses/time-series-data-mining-in-systems-biology(5b538723-503b-4b82-959b-d4567e8d4658).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.568664


Université Catholique de Louvain

7. Steghers, Mathieu. Forecasting Belgian and Norwegian CPI Inflation with Commodity Indexes.

Degree: 2015, Université Catholique de Louvain

This paper examines whether the inclusion of several commodity indexes in multivariate mod- els could improve the forecast of CPI inflation for Belgium and Norway.… (more)

Subjects/Keywords: forecasting; time series; CPI inflation; commodity indexes; univariate and multivariate models

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APA (6th Edition):

Steghers, M. (2015). Forecasting Belgian and Norwegian CPI Inflation with Commodity Indexes. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/thesis:2678

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Steghers, Mathieu. “Forecasting Belgian and Norwegian CPI Inflation with Commodity Indexes.” 2015. Thesis, Université Catholique de Louvain. Accessed January 22, 2020. http://hdl.handle.net/2078.1/thesis:2678.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Steghers, Mathieu. “Forecasting Belgian and Norwegian CPI Inflation with Commodity Indexes.” 2015. Web. 22 Jan 2020.

Vancouver:

Steghers M. Forecasting Belgian and Norwegian CPI Inflation with Commodity Indexes. [Internet] [Thesis]. Université Catholique de Louvain; 2015. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/2078.1/thesis:2678.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Steghers M. Forecasting Belgian and Norwegian CPI Inflation with Commodity Indexes. [Thesis]. Université Catholique de Louvain; 2015. Available from: http://hdl.handle.net/2078.1/thesis:2678

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

8. Agrawal, Saurabh. Introducing Novel Relationships in Time Series Data.

Degree: PhD, Computer Science, 2018, University of Minnesota

 In many scientific and engineering domains such as climate, neuroscience, transportation, etc. measurements are collected from sensors installed in different parts of a complex dynamical… (more)

Subjects/Keywords: climate; fMRI; multivariate patterns; Pattern Mining; Teleconnections; time series analysis

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APA (6th Edition):

Agrawal, S. (2018). Introducing Novel Relationships in Time Series Data. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/202119

Chicago Manual of Style (16th Edition):

Agrawal, Saurabh. “Introducing Novel Relationships in Time Series Data.” 2018. Doctoral Dissertation, University of Minnesota. Accessed January 22, 2020. http://hdl.handle.net/11299/202119.

MLA Handbook (7th Edition):

Agrawal, Saurabh. “Introducing Novel Relationships in Time Series Data.” 2018. Web. 22 Jan 2020.

Vancouver:

Agrawal S. Introducing Novel Relationships in Time Series Data. [Internet] [Doctoral dissertation]. University of Minnesota; 2018. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/11299/202119.

Council of Science Editors:

Agrawal S. Introducing Novel Relationships in Time Series Data. [Doctoral Dissertation]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/202119


University of Arizona

9. Kerr, Wesley. Learning to Recognize Agent Activities and Intentions .

Degree: 2010, University of Arizona

 Psychological research has demonstrated that subjects shown animations consisting of nothing more than simple geometric shapes perceive the shapes as being alive, having goals and… (more)

Subjects/Keywords: activity recognition; artificial intelligence; classification; data mining; multivariate time series

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APA (6th Edition):

Kerr, W. (2010). Learning to Recognize Agent Activities and Intentions . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/193649

Chicago Manual of Style (16th Edition):

Kerr, Wesley. “Learning to Recognize Agent Activities and Intentions .” 2010. Doctoral Dissertation, University of Arizona. Accessed January 22, 2020. http://hdl.handle.net/10150/193649.

MLA Handbook (7th Edition):

Kerr, Wesley. “Learning to Recognize Agent Activities and Intentions .” 2010. Web. 22 Jan 2020.

Vancouver:

Kerr W. Learning to Recognize Agent Activities and Intentions . [Internet] [Doctoral dissertation]. University of Arizona; 2010. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10150/193649.

Council of Science Editors:

Kerr W. Learning to Recognize Agent Activities and Intentions . [Doctoral Dissertation]. University of Arizona; 2010. Available from: http://hdl.handle.net/10150/193649


Colorado School of Mines

10. Kazor, Karen E. Identifying clusters in multivariate temporal and spatial data with application to environmental processes.

Degree: PhD, Applied Mathematics and Statistics, 2016, Colorado School of Mines

 In this work, we evaluate statistical clustering methods with the goal of gaining insight into complex environmental processes. To identify predominant wind patterns, i.e. wind… (more)

Subjects/Keywords: Multivariate data; Spatial processes; Clustering methods; Time series; Process monitoring

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APA (6th Edition):

Kazor, K. E. (2016). Identifying clusters in multivariate temporal and spatial data with application to environmental processes. (Doctoral Dissertation). Colorado School of Mines. Retrieved from http://hdl.handle.net/11124/170406

Chicago Manual of Style (16th Edition):

Kazor, Karen E. “Identifying clusters in multivariate temporal and spatial data with application to environmental processes.” 2016. Doctoral Dissertation, Colorado School of Mines. Accessed January 22, 2020. http://hdl.handle.net/11124/170406.

MLA Handbook (7th Edition):

Kazor, Karen E. “Identifying clusters in multivariate temporal and spatial data with application to environmental processes.” 2016. Web. 22 Jan 2020.

Vancouver:

Kazor KE. Identifying clusters in multivariate temporal and spatial data with application to environmental processes. [Internet] [Doctoral dissertation]. Colorado School of Mines; 2016. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/11124/170406.

Council of Science Editors:

Kazor KE. Identifying clusters in multivariate temporal and spatial data with application to environmental processes. [Doctoral Dissertation]. Colorado School of Mines; 2016. Available from: http://hdl.handle.net/11124/170406


Mid Sweden University

11. Zhao, Yi. Discovery of temporal association rules in multivariate time series.

Degree: Information Systems and Technology, 2017, Mid Sweden University

  This thesis focuses on mining association rules on multivariate time series. Com-mon association rule mining algorithms can usually only be applied to transactional data,… (more)

Subjects/Keywords: Pattern discovery; temporal association rules; multivariate time series.; Computer Systems; Datorsystem

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APA (6th Edition):

Zhao, Y. (2017). Discovery of temporal association rules in multivariate time series. (Thesis). Mid Sweden University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-31576

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhao, Yi. “Discovery of temporal association rules in multivariate time series.” 2017. Thesis, Mid Sweden University. Accessed January 22, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-31576.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhao, Yi. “Discovery of temporal association rules in multivariate time series.” 2017. Web. 22 Jan 2020.

Vancouver:

Zhao Y. Discovery of temporal association rules in multivariate time series. [Internet] [Thesis]. Mid Sweden University; 2017. [cited 2020 Jan 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-31576.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhao Y. Discovery of temporal association rules in multivariate time series. [Thesis]. Mid Sweden University; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-31576

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

12. Gao, Zhaoxing. Statistical inference and hypothesis testing for change-point and threshold in time series models.

Degree: 2016, Hong Kong University of Science and Technology

 This thesis considers change-point and threshold problems in time series and can be separated into three principle parts. For the first part, I investigate the… (more)

Subjects/Keywords: Time-series analysis ; Multivariate analysis ; Change-point problems ; Mathematical models

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APA (6th Edition):

Gao, Z. (2016). Statistical inference and hypothesis testing for change-point and threshold in time series models. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-87099 ; https://doi.org/10.14711/thesis-b1627125 ; http://repository.ust.hk/ir/bitstream/1783.1-87099/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gao, Zhaoxing. “Statistical inference and hypothesis testing for change-point and threshold in time series models.” 2016. Thesis, Hong Kong University of Science and Technology. Accessed January 22, 2020. http://repository.ust.hk/ir/Record/1783.1-87099 ; https://doi.org/10.14711/thesis-b1627125 ; http://repository.ust.hk/ir/bitstream/1783.1-87099/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gao, Zhaoxing. “Statistical inference and hypothesis testing for change-point and threshold in time series models.” 2016. Web. 22 Jan 2020.

Vancouver:

Gao Z. Statistical inference and hypothesis testing for change-point and threshold in time series models. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2016. [cited 2020 Jan 22]. Available from: http://repository.ust.hk/ir/Record/1783.1-87099 ; https://doi.org/10.14711/thesis-b1627125 ; http://repository.ust.hk/ir/bitstream/1783.1-87099/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gao Z. Statistical inference and hypothesis testing for change-point and threshold in time series models. [Thesis]. Hong Kong University of Science and Technology; 2016. Available from: http://repository.ust.hk/ir/Record/1783.1-87099 ; https://doi.org/10.14711/thesis-b1627125 ; http://repository.ust.hk/ir/bitstream/1783.1-87099/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

13. She, Rui MATH. Inference for multivariate heavy-tailed time series models.

Degree: 2018, Hong Kong University of Science and Technology

 This thesis studies the statistical inferences for two representative classical multivariate time series models with heavy-tailed innovations: multivariate autoregressive moving average (ARMA) models and vector… (more)

Subjects/Keywords: Time-series analysis ; Multivariate analysis ; Vector analysis ; Economics, Mathematical

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APA (6th Edition):

She, R. M. (2018). Inference for multivariate heavy-tailed time series models. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-97466 ; https://doi.org/10.14711/thesis-991012659569403412 ; http://repository.ust.hk/ir/bitstream/1783.1-97466/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

She, Rui MATH. “Inference for multivariate heavy-tailed time series models.” 2018. Thesis, Hong Kong University of Science and Technology. Accessed January 22, 2020. http://repository.ust.hk/ir/Record/1783.1-97466 ; https://doi.org/10.14711/thesis-991012659569403412 ; http://repository.ust.hk/ir/bitstream/1783.1-97466/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

She, Rui MATH. “Inference for multivariate heavy-tailed time series models.” 2018. Web. 22 Jan 2020.

Vancouver:

She RM. Inference for multivariate heavy-tailed time series models. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2018. [cited 2020 Jan 22]. Available from: http://repository.ust.hk/ir/Record/1783.1-97466 ; https://doi.org/10.14711/thesis-991012659569403412 ; http://repository.ust.hk/ir/bitstream/1783.1-97466/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

She RM. Inference for multivariate heavy-tailed time series models. [Thesis]. Hong Kong University of Science and Technology; 2018. Available from: http://repository.ust.hk/ir/Record/1783.1-97466 ; https://doi.org/10.14711/thesis-991012659569403412 ; http://repository.ust.hk/ir/bitstream/1783.1-97466/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

14. Chen, Chao-Tsen. A Local Modeling Approach for Multivariate Time Series Forecasting.

Degree: Master, Electrical Engineering, 2013, NSYSU

Time series arise frequently when monitoring industrial processes or tracking corporate business metrics. Forecasting time series data is important because it often provides the foundation… (more)

Subjects/Keywords: multi-step ahead prediction; Time series forecasting; multivariate time series; local model; least squares support vector machine; lags selection

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APA (6th Edition):

Chen, C. (2013). A Local Modeling Approach for Multivariate Time Series Forecasting. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0720113-110338

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Chao-Tsen. “A Local Modeling Approach for Multivariate Time Series Forecasting.” 2013. Thesis, NSYSU. Accessed January 22, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0720113-110338.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Chao-Tsen. “A Local Modeling Approach for Multivariate Time Series Forecasting.” 2013. Web. 22 Jan 2020.

Vancouver:

Chen C. A Local Modeling Approach for Multivariate Time Series Forecasting. [Internet] [Thesis]. NSYSU; 2013. [cited 2020 Jan 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0720113-110338.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen C. A Local Modeling Approach for Multivariate Time Series Forecasting. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0720113-110338

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. Lanius, Vivian. Statistische Extraktion relevanter Information aus multivariaten Online-Monitoring-Daten der Intensivmedizin.

Degree: 2005, Universität Dortmund

In dieser Dissertation wird mit Hilfe multivariater statistischer Verfahren untersucht, wie im Online-Monitoring in der Intensivmedizin klinisch relevante Information aus Beobachtungen für Variablen des Herz-Kreislaufsystems… (more)

Subjects/Keywords: Dimension reduction; Dimensionsreduktion; Multivariate signal extraction; Multivariate Signalextraktion; Online monitoring; Online-Monitoring; Robust; Robust; Time series; Zeitreihen; 510

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lanius, V. (2005). Statistische Extraktion relevanter Information aus multivariaten Online-Monitoring-Daten der Intensivmedizin. (Thesis). Universität Dortmund. Retrieved from http://hdl.handle.net/2003/20170

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lanius, Vivian. “Statistische Extraktion relevanter Information aus multivariaten Online-Monitoring-Daten der Intensivmedizin.” 2005. Thesis, Universität Dortmund. Accessed January 22, 2020. http://hdl.handle.net/2003/20170.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lanius, Vivian. “Statistische Extraktion relevanter Information aus multivariaten Online-Monitoring-Daten der Intensivmedizin.” 2005. Web. 22 Jan 2020.

Vancouver:

Lanius V. Statistische Extraktion relevanter Information aus multivariaten Online-Monitoring-Daten der Intensivmedizin. [Internet] [Thesis]. Universität Dortmund; 2005. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/2003/20170.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lanius V. Statistische Extraktion relevanter Information aus multivariaten Online-Monitoring-Daten der Intensivmedizin. [Thesis]. Universität Dortmund; 2005. Available from: http://hdl.handle.net/2003/20170

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

16. Messaoud, Amor Ben Salah. Monitoring strategies for chatter detection in a drilling process.

Degree: 2006, Technische Universität Dortmund

 The thesis is divided into two main parts. The first part is devoted to the development of a new distribution-free control chart for multivariate data,… (more)

Subjects/Keywords: Data depth; Deep-hole drilling; Nonparametric multivariate control charts; Time series; 310

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APA (6th Edition):

Messaoud, A. B. S. (2006). Monitoring strategies for chatter detection in a drilling process. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/23274

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Messaoud, Amor Ben Salah. “Monitoring strategies for chatter detection in a drilling process.” 2006. Thesis, Technische Universität Dortmund. Accessed January 22, 2020. http://hdl.handle.net/2003/23274.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Messaoud, Amor Ben Salah. “Monitoring strategies for chatter detection in a drilling process.” 2006. Web. 22 Jan 2020.

Vancouver:

Messaoud ABS. Monitoring strategies for chatter detection in a drilling process. [Internet] [Thesis]. Technische Universität Dortmund; 2006. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/2003/23274.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Messaoud ABS. Monitoring strategies for chatter detection in a drilling process. [Thesis]. Technische Universität Dortmund; 2006. Available from: http://hdl.handle.net/2003/23274

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

17. Ning, Lipeng. Matrix-valued optimal mass transportation and its applications.

Degree: PhD, Electrical Engineering, 2013, University of Minnesota

 The subject of this thesis is the geometry of matrix-valued density functions. The main motivation is the need for quantitative measures to compare power spectral… (more)

Subjects/Keywords: Matrix-valued density function; Multivariate time-series; Optimal mass transport; Spectral analysis

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APA (6th Edition):

Ning, L. (2013). Matrix-valued optimal mass transportation and its applications. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/36765

Chicago Manual of Style (16th Edition):

Ning, Lipeng. “Matrix-valued optimal mass transportation and its applications.” 2013. Doctoral Dissertation, University of Minnesota. Accessed January 22, 2020. http://hdl.handle.net/11299/36765.

MLA Handbook (7th Edition):

Ning, Lipeng. “Matrix-valued optimal mass transportation and its applications.” 2013. Web. 22 Jan 2020.

Vancouver:

Ning L. Matrix-valued optimal mass transportation and its applications. [Internet] [Doctoral dissertation]. University of Minnesota; 2013. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/11299/36765.

Council of Science Editors:

Ning L. Matrix-valued optimal mass transportation and its applications. [Doctoral Dissertation]. University of Minnesota; 2013. Available from: http://hdl.handle.net/11299/36765


University of California – Irvine

18. Hu, Lechuan. Modeling Connectivity in Multi-trial Brain Signals.

Degree: Statistics, 2018, University of California – Irvine

 The hippocampus is critical to memory consolidation. To study the underlying neuronal mechanisms of hippocampus in sequential memory, we consider an experiment recording multi-trial local… (more)

Subjects/Keywords: Statistics; Bayesian hierarchical vector autoregressive model; Brain effective connectivity; Multivariate time series; Vector autoregressive model

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APA (6th Edition):

Hu, L. (2018). Modeling Connectivity in Multi-trial Brain Signals. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/9vm3h315

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hu, Lechuan. “Modeling Connectivity in Multi-trial Brain Signals.” 2018. Thesis, University of California – Irvine. Accessed January 22, 2020. http://www.escholarship.org/uc/item/9vm3h315.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hu, Lechuan. “Modeling Connectivity in Multi-trial Brain Signals.” 2018. Web. 22 Jan 2020.

Vancouver:

Hu L. Modeling Connectivity in Multi-trial Brain Signals. [Internet] [Thesis]. University of California – Irvine; 2018. [cited 2020 Jan 22]. Available from: http://www.escholarship.org/uc/item/9vm3h315.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hu L. Modeling Connectivity in Multi-trial Brain Signals. [Thesis]. University of California – Irvine; 2018. Available from: http://www.escholarship.org/uc/item/9vm3h315

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

19. Chakraborty, Prithwish. Data-Driven Methods for Modeling and Predicting Multivariate Time Series using Surrogates.

Degree: PhD, Computer Science, 2016, Virginia Tech

 Modeling and predicting multivariate time series data has been of prime interest to researchers for many decades. Traditionally, time series prediction models have focused on… (more)

Subjects/Keywords: Multivariate Time Series; Surrogates; Generalized Linear Models; Bayesian Sequential Analysis; Computational Epidemiology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chakraborty, P. (2016). Data-Driven Methods for Modeling and Predicting Multivariate Time Series using Surrogates. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81432

Chicago Manual of Style (16th Edition):

Chakraborty, Prithwish. “Data-Driven Methods for Modeling and Predicting Multivariate Time Series using Surrogates.” 2016. Doctoral Dissertation, Virginia Tech. Accessed January 22, 2020. http://hdl.handle.net/10919/81432.

MLA Handbook (7th Edition):

Chakraborty, Prithwish. “Data-Driven Methods for Modeling and Predicting Multivariate Time Series using Surrogates.” 2016. Web. 22 Jan 2020.

Vancouver:

Chakraborty P. Data-Driven Methods for Modeling and Predicting Multivariate Time Series using Surrogates. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/10919/81432.

Council of Science Editors:

Chakraborty P. Data-Driven Methods for Modeling and Predicting Multivariate Time Series using Surrogates. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/81432


Boston University

20. Li, Jun. Statistical methods for certain large, complex data challenges.

Degree: PhD, Mathematics & Statistics, 2018, Boston University

 Big data concerns large-volume, complex, growing data sets, and it provides us opportunities as well as challenges. This thesis focuses on statistical methods for several… (more)

Subjects/Keywords: Statistics; Big data; Hypothesis testing; Multivariate time series imputation; Source detection; Statistical network analysis

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APA (6th Edition):

Li, J. (2018). Statistical methods for certain large, complex data challenges. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/33134

Chicago Manual of Style (16th Edition):

Li, Jun. “Statistical methods for certain large, complex data challenges.” 2018. Doctoral Dissertation, Boston University. Accessed January 22, 2020. http://hdl.handle.net/2144/33134.

MLA Handbook (7th Edition):

Li, Jun. “Statistical methods for certain large, complex data challenges.” 2018. Web. 22 Jan 2020.

Vancouver:

Li J. Statistical methods for certain large, complex data challenges. [Internet] [Doctoral dissertation]. Boston University; 2018. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/2144/33134.

Council of Science Editors:

Li J. Statistical methods for certain large, complex data challenges. [Doctoral Dissertation]. Boston University; 2018. Available from: http://hdl.handle.net/2144/33134


Columbia University

21. Wan, Phyllis. Application of Distance Covariance to Extremes and Time Series and Inference for Linear Preferential Attachment Networks.

Degree: 2018, Columbia University

 This thesis covers four topics: i) Measuring dependence in time series through distance covariance; ii) Testing goodness-of-fit of time series models; iii) Threshold selection for… (more)

Subjects/Keywords: Statistics; Analysis of covariance; Time-series analysis – Mathematical models; Multivariate analysis; System analysis

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APA (6th Edition):

Wan, P. (2018). Application of Distance Covariance to Extremes and Time Series and Inference for Linear Preferential Attachment Networks. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8Q25GQB

Chicago Manual of Style (16th Edition):

Wan, Phyllis. “Application of Distance Covariance to Extremes and Time Series and Inference for Linear Preferential Attachment Networks.” 2018. Doctoral Dissertation, Columbia University. Accessed January 22, 2020. https://doi.org/10.7916/D8Q25GQB.

MLA Handbook (7th Edition):

Wan, Phyllis. “Application of Distance Covariance to Extremes and Time Series and Inference for Linear Preferential Attachment Networks.” 2018. Web. 22 Jan 2020.

Vancouver:

Wan P. Application of Distance Covariance to Extremes and Time Series and Inference for Linear Preferential Attachment Networks. [Internet] [Doctoral dissertation]. Columbia University; 2018. [cited 2020 Jan 22]. Available from: https://doi.org/10.7916/D8Q25GQB.

Council of Science Editors:

Wan P. Application of Distance Covariance to Extremes and Time Series and Inference for Linear Preferential Attachment Networks. [Doctoral Dissertation]. Columbia University; 2018. Available from: https://doi.org/10.7916/D8Q25GQB

22. Huang, Xuan. Topics in Multivariate Time Series Analysis: Statistical Control, Dimension Reduction Visualization and Their Business Applications.

Degree: PhD, Management, 2010, U of Massachusetts : PhD

 Most business processes are, by nature, multivariate and autocorrelated. High-dimensionality is rooted in processes where more than one variable is considered simultaneously to provide a… (more)

Subjects/Keywords: Dimension Reduction; Multivariate Analysis; Quality Management; Time Series; Visualization; Management Sciences and Quantitative Methods

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APA (6th Edition):

Huang, X. (2010). Topics in Multivariate Time Series Analysis: Statistical Control, Dimension Reduction Visualization and Their Business Applications. (Doctoral Dissertation). U of Massachusetts : PhD. Retrieved from https://scholarworks.umass.edu/open_access_dissertations/204

Chicago Manual of Style (16th Edition):

Huang, Xuan. “Topics in Multivariate Time Series Analysis: Statistical Control, Dimension Reduction Visualization and Their Business Applications.” 2010. Doctoral Dissertation, U of Massachusetts : PhD. Accessed January 22, 2020. https://scholarworks.umass.edu/open_access_dissertations/204.

MLA Handbook (7th Edition):

Huang, Xuan. “Topics in Multivariate Time Series Analysis: Statistical Control, Dimension Reduction Visualization and Their Business Applications.” 2010. Web. 22 Jan 2020.

Vancouver:

Huang X. Topics in Multivariate Time Series Analysis: Statistical Control, Dimension Reduction Visualization and Their Business Applications. [Internet] [Doctoral dissertation]. U of Massachusetts : PhD; 2010. [cited 2020 Jan 22]. Available from: https://scholarworks.umass.edu/open_access_dissertations/204.

Council of Science Editors:

Huang X. Topics in Multivariate Time Series Analysis: Statistical Control, Dimension Reduction Visualization and Their Business Applications. [Doctoral Dissertation]. U of Massachusetts : PhD; 2010. Available from: https://scholarworks.umass.edu/open_access_dissertations/204


Georgia Tech

23. Shahandashti, Seyed Mohsen. Analysis of construction cost variations using macroeconomic, energy and construction market variables.

Degree: PhD, Building Construction, 2014, Georgia Tech

 Recently, construction cost variations have been larger and less predictable. These variations are apparent in trends of indices such as Engineering News Record (ENR) Construction… (more)

Subjects/Keywords: Construction cost variations; Multivariate time series models; Macroeconomic; Energy and construction market information

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APA (6th Edition):

Shahandashti, S. M. (2014). Analysis of construction cost variations using macroeconomic, energy and construction market variables. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52281

Chicago Manual of Style (16th Edition):

Shahandashti, Seyed Mohsen. “Analysis of construction cost variations using macroeconomic, energy and construction market variables.” 2014. Doctoral Dissertation, Georgia Tech. Accessed January 22, 2020. http://hdl.handle.net/1853/52281.

MLA Handbook (7th Edition):

Shahandashti, Seyed Mohsen. “Analysis of construction cost variations using macroeconomic, energy and construction market variables.” 2014. Web. 22 Jan 2020.

Vancouver:

Shahandashti SM. Analysis of construction cost variations using macroeconomic, energy and construction market variables. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/1853/52281.

Council of Science Editors:

Shahandashti SM. Analysis of construction cost variations using macroeconomic, energy and construction market variables. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52281

24. Faure, Cynthia. Détection de ruptures et identification des causes ou des symptômes dans le fonctionnement des turboréacteurs durant les vols et les essais : Change-point detection and identification of the causes in aircraft enging during flights and test benches.

Degree: Docteur es, Mathématiques appliquées, 2018, Paris 1

L'analyse de séries temporelles multivariées, créées par des capteurs présents sur le moteur d'avion durant un vol ou un essai, représente un nouveau challenge pour… (more)

Subjects/Keywords: Détection de ruptures; Séries temporelles; Phases transitoires; Clustering de signaux bivariés; Détection d'anomalies; Recherche de similarités; Multivariate time series; Time series; Tracking similar behaviours; 510

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APA (6th Edition):

Faure, C. (2018). Détection de ruptures et identification des causes ou des symptômes dans le fonctionnement des turboréacteurs durant les vols et les essais : Change-point detection and identification of the causes in aircraft enging during flights and test benches. (Doctoral Dissertation). Paris 1. Retrieved from http://www.theses.fr/2018PA01E059

Chicago Manual of Style (16th Edition):

Faure, Cynthia. “Détection de ruptures et identification des causes ou des symptômes dans le fonctionnement des turboréacteurs durant les vols et les essais : Change-point detection and identification of the causes in aircraft enging during flights and test benches.” 2018. Doctoral Dissertation, Paris 1. Accessed January 22, 2020. http://www.theses.fr/2018PA01E059.

MLA Handbook (7th Edition):

Faure, Cynthia. “Détection de ruptures et identification des causes ou des symptômes dans le fonctionnement des turboréacteurs durant les vols et les essais : Change-point detection and identification of the causes in aircraft enging during flights and test benches.” 2018. Web. 22 Jan 2020.

Vancouver:

Faure C. Détection de ruptures et identification des causes ou des symptômes dans le fonctionnement des turboréacteurs durant les vols et les essais : Change-point detection and identification of the causes in aircraft enging during flights and test benches. [Internet] [Doctoral dissertation]. Paris 1; 2018. [cited 2020 Jan 22]. Available from: http://www.theses.fr/2018PA01E059.

Council of Science Editors:

Faure C. Détection de ruptures et identification des causes ou des symptômes dans le fonctionnement des turboréacteurs durant les vols et les essais : Change-point detection and identification of the causes in aircraft enging during flights and test benches. [Doctoral Dissertation]. Paris 1; 2018. Available from: http://www.theses.fr/2018PA01E059


Brunel University

25. Seerattan, Dave Arnold. The effectiveness of central bank interventions in the foreign exchange market.

Degree: PhD, 2012, Brunel University

 The global foreign exchange market is the largest financial market with turnover in this market often outstripping the GDP of countries in which they are… (more)

Subjects/Keywords: 332.4; Non-linear time series dynamics; Multivariate garch; Markov switching models; Market microstructure; Trading volume in financial markets

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APA (6th Edition):

Seerattan, D. A. (2012). The effectiveness of central bank interventions in the foreign exchange market. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/7361 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.569676

Chicago Manual of Style (16th Edition):

Seerattan, Dave Arnold. “The effectiveness of central bank interventions in the foreign exchange market.” 2012. Doctoral Dissertation, Brunel University. Accessed January 22, 2020. http://bura.brunel.ac.uk/handle/2438/7361 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.569676.

MLA Handbook (7th Edition):

Seerattan, Dave Arnold. “The effectiveness of central bank interventions in the foreign exchange market.” 2012. Web. 22 Jan 2020.

Vancouver:

Seerattan DA. The effectiveness of central bank interventions in the foreign exchange market. [Internet] [Doctoral dissertation]. Brunel University; 2012. [cited 2020 Jan 22]. Available from: http://bura.brunel.ac.uk/handle/2438/7361 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.569676.

Council of Science Editors:

Seerattan DA. The effectiveness of central bank interventions in the foreign exchange market. [Doctoral Dissertation]. Brunel University; 2012. Available from: http://bura.brunel.ac.uk/handle/2438/7361 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.569676


University of Newcastle

26. Livingston Jr, Glen. A Bayesian analysis of a regime switching volatility model.

Degree: PhD, 2017, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

Non-linear time series data is often generated by complex systems. While linear models provide a good first approximation… (more)

Subjects/Keywords: multivariate non-linear time series; STAR; GARCH; Bayesian; reversible jump MCMC; Metropolis-Hastings; Gibbs sampler; delayed rejection; VAR; M-GARCH

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APA (6th Edition):

Livingston Jr, G. (2017). A Bayesian analysis of a regime switching volatility model. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1342483

Chicago Manual of Style (16th Edition):

Livingston Jr, Glen. “A Bayesian analysis of a regime switching volatility model.” 2017. Doctoral Dissertation, University of Newcastle. Accessed January 22, 2020. http://hdl.handle.net/1959.13/1342483.

MLA Handbook (7th Edition):

Livingston Jr, Glen. “A Bayesian analysis of a regime switching volatility model.” 2017. Web. 22 Jan 2020.

Vancouver:

Livingston Jr G. A Bayesian analysis of a regime switching volatility model. [Internet] [Doctoral dissertation]. University of Newcastle; 2017. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/1959.13/1342483.

Council of Science Editors:

Livingston Jr G. A Bayesian analysis of a regime switching volatility model. [Doctoral Dissertation]. University of Newcastle; 2017. Available from: http://hdl.handle.net/1959.13/1342483


Chapman University

27. Schwartz, Michael. Optimized Forecasting of Dominant U.S. Stock Market Equities Using Univariate and Multivariate Time Series Analysis Methods.

Degree: PhD, Computational and Data Sciences, 2017, Chapman University

  This dissertation documents an investigation into forecasting U.S. stock market equities via two very different time series analysis techniques: 1) autoregressive integrated moving average… (more)

Subjects/Keywords: Forecasting; univariate; multivariate; time series analysis; Numerical Analysis and Scientific Computing; Other Computer Sciences; Other Economics; Theory and Algorithms

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APA (6th Edition):

Schwartz, M. (2017). Optimized Forecasting of Dominant U.S. Stock Market Equities Using Univariate and Multivariate Time Series Analysis Methods. (Doctoral Dissertation). Chapman University. Retrieved from https://digitalcommons.chapman.edu/comp_science_theses/3

Chicago Manual of Style (16th Edition):

Schwartz, Michael. “Optimized Forecasting of Dominant U.S. Stock Market Equities Using Univariate and Multivariate Time Series Analysis Methods.” 2017. Doctoral Dissertation, Chapman University. Accessed January 22, 2020. https://digitalcommons.chapman.edu/comp_science_theses/3.

MLA Handbook (7th Edition):

Schwartz, Michael. “Optimized Forecasting of Dominant U.S. Stock Market Equities Using Univariate and Multivariate Time Series Analysis Methods.” 2017. Web. 22 Jan 2020.

Vancouver:

Schwartz M. Optimized Forecasting of Dominant U.S. Stock Market Equities Using Univariate and Multivariate Time Series Analysis Methods. [Internet] [Doctoral dissertation]. Chapman University; 2017. [cited 2020 Jan 22]. Available from: https://digitalcommons.chapman.edu/comp_science_theses/3.

Council of Science Editors:

Schwartz M. Optimized Forecasting of Dominant U.S. Stock Market Equities Using Univariate and Multivariate Time Series Analysis Methods. [Doctoral Dissertation]. Chapman University; 2017. Available from: https://digitalcommons.chapman.edu/comp_science_theses/3


Université de Montréal

28. Nkwimi-Tchahou, Herbert. Les tests de causalité en variance entre deux séries chronologiques multivariées .

Degree: 2011, Université de Montréal

 Les modèles de séries chronologiques avec variances conditionnellement hétéroscédastiques sont devenus quasi incontournables afin de modéliser les séries chronologiques dans le contexte des données financières.… (more)

Subjects/Keywords: Causalité; Hétérocédastiques; Tests; Portemanteaux; Corrélations; Causality; Heteroscedasticity; Portmanteau; Correlation; Test; Conditionnellement; Variances; séries; Chronologiques; Multivariées; Multivariate; Time; Series; Conditionnal; Variance

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APA (6th Edition):

Nkwimi-Tchahou, H. (2011). Les tests de causalité en variance entre deux séries chronologiques multivariées . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/4949

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nkwimi-Tchahou, Herbert. “Les tests de causalité en variance entre deux séries chronologiques multivariées .” 2011. Thesis, Université de Montréal. Accessed January 22, 2020. http://hdl.handle.net/1866/4949.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nkwimi-Tchahou, Herbert. “Les tests de causalité en variance entre deux séries chronologiques multivariées .” 2011. Web. 22 Jan 2020.

Vancouver:

Nkwimi-Tchahou H. Les tests de causalité en variance entre deux séries chronologiques multivariées . [Internet] [Thesis]. Université de Montréal; 2011. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/1866/4949.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nkwimi-Tchahou H. Les tests de causalité en variance entre deux séries chronologiques multivariées . [Thesis]. Université de Montréal; 2011. Available from: http://hdl.handle.net/1866/4949

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université de Montréal

29. Saint-Frard, Robinson. Sur la validation des modèles de séries chronologiques spatio-temporelles multivariées .

Degree: 2011, Université de Montréal

 Le présent mémoire porte sur les séries chronologiques qui en plus d’être observées dans le temps, présentent également une composante spatiale. Plus particulièrement, nous étudions… (more)

Subjects/Keywords: Séries chronologiques multivariées; statistiques portemanteaux; autocovariances résiduelles matricielles; paramétrisation structurée; Multivariate time series; Portmanteau test statistic; Residual autocovariance matrices; Structured parameterization

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APA (6th Edition):

Saint-Frard, R. (2011). Sur la validation des modèles de séries chronologiques spatio-temporelles multivariées . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/5331

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Saint-Frard, Robinson. “Sur la validation des modèles de séries chronologiques spatio-temporelles multivariées .” 2011. Thesis, Université de Montréal. Accessed January 22, 2020. http://hdl.handle.net/1866/5331.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Saint-Frard, Robinson. “Sur la validation des modèles de séries chronologiques spatio-temporelles multivariées .” 2011. Web. 22 Jan 2020.

Vancouver:

Saint-Frard R. Sur la validation des modèles de séries chronologiques spatio-temporelles multivariées . [Internet] [Thesis]. Université de Montréal; 2011. [cited 2020 Jan 22]. Available from: http://hdl.handle.net/1866/5331.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Saint-Frard R. Sur la validation des modèles de séries chronologiques spatio-temporelles multivariées . [Thesis]. Université de Montréal; 2011. Available from: http://hdl.handle.net/1866/5331

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Western Ontario

30. Jiang, Weibin. Asymptotic Theory of General Multivariate GARCH Models.

Degree: 2011, University of Western Ontario

 Generalized autoregressive conditional heteroscedasticity (GARCH) models are widely used in financial markets. Parameters of GARCH models are usually estimated by the quasi-maximum likelihood estimator (QMLE).… (more)

Subjects/Keywords: General multivariate GARCH; asymptotic theory; ergodicity; stationarity; consistency; asymptotic normality; Longitudinal Data Analysis and Time Series

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jiang, W. (2011). Asymptotic Theory of General Multivariate GARCH Models. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/248

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jiang, Weibin. “Asymptotic Theory of General Multivariate GARCH Models.” 2011. Thesis, University of Western Ontario. Accessed January 22, 2020. https://ir.lib.uwo.ca/etd/248.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jiang, Weibin. “Asymptotic Theory of General Multivariate GARCH Models.” 2011. Web. 22 Jan 2020.

Vancouver:

Jiang W. Asymptotic Theory of General Multivariate GARCH Models. [Internet] [Thesis]. University of Western Ontario; 2011. [cited 2020 Jan 22]. Available from: https://ir.lib.uwo.ca/etd/248.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jiang W. Asymptotic Theory of General Multivariate GARCH Models. [Thesis]. University of Western Ontario; 2011. Available from: https://ir.lib.uwo.ca/etd/248

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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