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You searched for subject:(spatio temporal model). Showing records 1 – 30 of 68 total matches.

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1. Kang, Hakmook. Spatio-Temporal Models for Functional Magnetic Resonance Images.

Degree: PhD, Biostatistics, 2011, Brown University

 Understanding the activation pattern and the functional network of the brain under experimental conditions or resting-state is fundamental to brain research, which has been shown… (more)

Subjects/Keywords: spatio-temporal model

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

APA (6th Edition):

Kang, H. (2011). Spatio-Temporal Models for Functional Magnetic Resonance Images. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:11341/

Chicago Manual of Style (16th Edition):

Kang, Hakmook. “Spatio-Temporal Models for Functional Magnetic Resonance Images.” 2011. Doctoral Dissertation, Brown University. Accessed October 19, 2019. https://repository.library.brown.edu/studio/item/bdr:11341/.

MLA Handbook (7th Edition):

Kang, Hakmook. “Spatio-Temporal Models for Functional Magnetic Resonance Images.” 2011. Web. 19 Oct 2019.

Vancouver:

Kang H. Spatio-Temporal Models for Functional Magnetic Resonance Images. [Internet] [Doctoral dissertation]. Brown University; 2011. [cited 2019 Oct 19]. Available from: https://repository.library.brown.edu/studio/item/bdr:11341/.

Council of Science Editors:

Kang H. Spatio-Temporal Models for Functional Magnetic Resonance Images. [Doctoral Dissertation]. Brown University; 2011. Available from: https://repository.library.brown.edu/studio/item/bdr:11341/


University of Missouri – Columbia

2. Leeds, William B. Hierarchical modeling of nonlinear multivariate spatio-temporal dynamical systems in the presence of uncertainty.

Degree: 2012, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Dynamic spatio-temporal models are statistical models that specify the joint distribution of a spatio-temporal process… (more)

Subjects/Keywords: mechanistic model; spatio-­temporal model; quadratic nonlinearity

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APA (6th Edition):

Leeds, W. B. (2012). Hierarchical modeling of nonlinear multivariate spatio-temporal dynamical systems in the presence of uncertainty. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/36769

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):

Leeds, William B. “Hierarchical modeling of nonlinear multivariate spatio-temporal dynamical systems in the presence of uncertainty.” 2012. Thesis, University of Missouri – Columbia. Accessed October 19, 2019. http://hdl.handle.net/10355/36769.

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

MLA Handbook (7th Edition):

Leeds, William B. “Hierarchical modeling of nonlinear multivariate spatio-temporal dynamical systems in the presence of uncertainty.” 2012. Web. 19 Oct 2019.

Vancouver:

Leeds WB. Hierarchical modeling of nonlinear multivariate spatio-temporal dynamical systems in the presence of uncertainty. [Internet] [Thesis]. University of Missouri – Columbia; 2012. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/10355/36769.

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

Council of Science Editors:

Leeds WB. Hierarchical modeling of nonlinear multivariate spatio-temporal dynamical systems in the presence of uncertainty. [Thesis]. University of Missouri – Columbia; 2012. Available from: http://hdl.handle.net/10355/36769

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


University of Missouri – Columbia

3. Leeds, William B. Hierarchical modeling of nonlinear multivariate spatio-temporal dynamical systems in the presence of uncertainty.

Degree: 2012, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Dynamic spatio-temporal models are statistical models that specify the joint distribution of a spatio-temporal process… (more)

Subjects/Keywords: mechanistic model; spatio-­temporal model; quadratic nonlinearity

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

APA (6th Edition):

Leeds, W. B. (2012). Hierarchical modeling of nonlinear multivariate spatio-temporal dynamical systems in the presence of uncertainty. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/36769

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):

Leeds, William B. “Hierarchical modeling of nonlinear multivariate spatio-temporal dynamical systems in the presence of uncertainty.” 2012. Thesis, University of Missouri – Columbia. Accessed October 19, 2019. https://doi.org/10.32469/10355/36769.

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

MLA Handbook (7th Edition):

Leeds, William B. “Hierarchical modeling of nonlinear multivariate spatio-temporal dynamical systems in the presence of uncertainty.” 2012. Web. 19 Oct 2019.

Vancouver:

Leeds WB. Hierarchical modeling of nonlinear multivariate spatio-temporal dynamical systems in the presence of uncertainty. [Internet] [Thesis]. University of Missouri – Columbia; 2012. [cited 2019 Oct 19]. Available from: https://doi.org/10.32469/10355/36769.

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

Council of Science Editors:

Leeds WB. Hierarchical modeling of nonlinear multivariate spatio-temporal dynamical systems in the presence of uncertainty. [Thesis]. University of Missouri – Columbia; 2012. Available from: https://doi.org/10.32469/10355/36769

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


Univerzitet u Beogradu

4. Kilibarda, Milan S., 1983-. Automatsko kartriranje klimatskih varijabli primenom prostorno-vremenskih geostatičkih metoda.

Degree: Građevinski fakultet, 2015, Univerzitet u Beogradu

Geodesy-Geodetic cartography / Geodezija-Geodetska kartografija

Javno dostupni meteorološki podaci, kako sa stanica tako i iz daljinske detekcije, korišćeni su za prostorno vremensku interpolaciju temperature vazduha… (more)

Subjects/Keywords: spatio-temporal interpolation; spatio-temporal kriging; space-time variogram; linear regression; MaxEnt; daily air temperature; MODIS LST; global model

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APA (6th Edition):

Kilibarda, Milan S., 1. (2015). Automatsko kartriranje klimatskih varijabli primenom prostorno-vremenskih geostatičkih metoda. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:8525/bdef:Content/get

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):

Kilibarda, Milan S., 1983-. “Automatsko kartriranje klimatskih varijabli primenom prostorno-vremenskih geostatičkih metoda.” 2015. Thesis, Univerzitet u Beogradu. Accessed October 19, 2019. https://fedorabg.bg.ac.rs/fedora/get/o:8525/bdef:Content/get.

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

MLA Handbook (7th Edition):

Kilibarda, Milan S., 1983-. “Automatsko kartriranje klimatskih varijabli primenom prostorno-vremenskih geostatičkih metoda.” 2015. Web. 19 Oct 2019.

Vancouver:

Kilibarda, Milan S. 1. Automatsko kartriranje klimatskih varijabli primenom prostorno-vremenskih geostatičkih metoda. [Internet] [Thesis]. Univerzitet u Beogradu; 2015. [cited 2019 Oct 19]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:8525/bdef:Content/get.

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

Council of Science Editors:

Kilibarda, Milan S. 1. Automatsko kartriranje klimatskih varijabli primenom prostorno-vremenskih geostatičkih metoda. [Thesis]. Univerzitet u Beogradu; 2015. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:8525/bdef:Content/get

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


Texas A&M University

5. Yu, Dan. State Estimation of Spatio-Temporal Phenomena.

Degree: 2016, Texas A&M University

 This dissertation addresses the state estimation problem of spatio-temporal phenomena which can be modeled by partial differential equations (PDEs), such as pollutant dispersion in the… (more)

Subjects/Keywords: model reduction; spatio-temporal system; sensor placement; unknown input filtering

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APA (6th Edition):

Yu, D. (2016). State Estimation of Spatio-Temporal Phenomena. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/159046

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):

Yu, Dan. “State Estimation of Spatio-Temporal Phenomena.” 2016. Thesis, Texas A&M University. Accessed October 19, 2019. http://hdl.handle.net/1969.1/159046.

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

MLA Handbook (7th Edition):

Yu, Dan. “State Estimation of Spatio-Temporal Phenomena.” 2016. Web. 19 Oct 2019.

Vancouver:

Yu D. State Estimation of Spatio-Temporal Phenomena. [Internet] [Thesis]. Texas A&M University; 2016. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/1969.1/159046.

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

Council of Science Editors:

Yu D. State Estimation of Spatio-Temporal Phenomena. [Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/159046

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


Anna University

6. Shanthi,S. A unified model to maximize learning through best practices in knowledge management;.

Degree: Learning through best practices in knowledge management, 2013, Anna University

Knowledge Management (KM) is a conscious strategy of getting the right knowledge to the right people at the right time through a deliberate design of… (more)

Subjects/Keywords: Knowledge Management; unified model; spatio-temporal framework; learning

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APA (6th Edition):

Shanthi,S.. (2013). A unified model to maximize learning through best practices in knowledge management;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/11102

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

Chicago Manual of Style (16th Edition):

Shanthi,S.. “A unified model to maximize learning through best practices in knowledge management;.” 2013. Thesis, Anna University. Accessed October 19, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/11102.

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

MLA Handbook (7th Edition):

Shanthi,S.. “A unified model to maximize learning through best practices in knowledge management;.” 2013. Web. 19 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Shanthi,S.. A unified model to maximize learning through best practices in knowledge management;. [Internet] [Thesis]. Anna University; 2013. [cited 2019 Oct 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/11102.

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

Council of Science Editors:

Shanthi,S.. A unified model to maximize learning through best practices in knowledge management;. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/11102

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


Louisiana State University

7. Chen, Yuliang. A contour tree based spatio-temporal data model for oceanographic applications.

Degree: PhD, Social and Behavioral Sciences, 2011, Louisiana State University

 To present the spatio/temporal data from oceanographic modeling in GIS has been a challenging task due to the highly dynamic characteristic and complex pattern of… (more)

Subjects/Keywords: GIS; spatio-temporal data model; contour tree; ontology

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APA (6th Edition):

Chen, Y. (2011). A contour tree based spatio-temporal data model for oceanographic applications. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-04272011-214101 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3955

Chicago Manual of Style (16th Edition):

Chen, Yuliang. “A contour tree based spatio-temporal data model for oceanographic applications.” 2011. Doctoral Dissertation, Louisiana State University. Accessed October 19, 2019. etd-04272011-214101 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3955.

MLA Handbook (7th Edition):

Chen, Yuliang. “A contour tree based spatio-temporal data model for oceanographic applications.” 2011. Web. 19 Oct 2019.

Vancouver:

Chen Y. A contour tree based spatio-temporal data model for oceanographic applications. [Internet] [Doctoral dissertation]. Louisiana State University; 2011. [cited 2019 Oct 19]. Available from: etd-04272011-214101 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3955.

Council of Science Editors:

Chen Y. A contour tree based spatio-temporal data model for oceanographic applications. [Doctoral Dissertation]. Louisiana State University; 2011. Available from: etd-04272011-214101 ; https://digitalcommons.lsu.edu/gradschool_dissertations/3955


Clemson University

8. Liu, Yan. Latent data modeling with biostatistical applications.

Degree: PhD, Mathematical Sciences, 2017, Clemson University

 This dissertation consists of three projects that make use of latent variable modeling techniques. One of the focuses of this dissertation research has been in… (more)

Subjects/Keywords: Bayesian spatio-temporal model; Biomarker pooling; group testing; Measurement error

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APA (6th Edition):

Liu, Y. (2017). Latent data modeling with biostatistical applications. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2005

Chicago Manual of Style (16th Edition):

Liu, Yan. “Latent data modeling with biostatistical applications.” 2017. Doctoral Dissertation, Clemson University. Accessed October 19, 2019. https://tigerprints.clemson.edu/all_dissertations/2005.

MLA Handbook (7th Edition):

Liu, Yan. “Latent data modeling with biostatistical applications.” 2017. Web. 19 Oct 2019.

Vancouver:

Liu Y. Latent data modeling with biostatistical applications. [Internet] [Doctoral dissertation]. Clemson University; 2017. [cited 2019 Oct 19]. Available from: https://tigerprints.clemson.edu/all_dissertations/2005.

Council of Science Editors:

Liu Y. Latent data modeling with biostatistical applications. [Doctoral Dissertation]. Clemson University; 2017. Available from: https://tigerprints.clemson.edu/all_dissertations/2005


Kansas State University

9. Li, Xintong. Modeling for spatial and spatio-temporal data with applications.

Degree: PhD, Department of Statistics, 2018, Kansas State University

 It is common to assume the spatial or spatio-temporal data are realizations of underlying random fields or stochastic processes. Effective approaches to modeling of the… (more)

Subjects/Keywords: Spatial statistics; Spatio-temporal model; Variogram; Models on spheres; Dynamic models

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APA (6th Edition):

Li, X. (2018). Modeling for spatial and spatio-temporal data with applications. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/38749

Chicago Manual of Style (16th Edition):

Li, Xintong. “Modeling for spatial and spatio-temporal data with applications.” 2018. Doctoral Dissertation, Kansas State University. Accessed October 19, 2019. http://hdl.handle.net/2097/38749.

MLA Handbook (7th Edition):

Li, Xintong. “Modeling for spatial and spatio-temporal data with applications.” 2018. Web. 19 Oct 2019.

Vancouver:

Li X. Modeling for spatial and spatio-temporal data with applications. [Internet] [Doctoral dissertation]. Kansas State University; 2018. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/2097/38749.

Council of Science Editors:

Li X. Modeling for spatial and spatio-temporal data with applications. [Doctoral Dissertation]. Kansas State University; 2018. Available from: http://hdl.handle.net/2097/38749


IUPUI

10. Baskaran, Savitha. Visualization of spatio-temporal data in two dimensional space.

Degree: 2016, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

Spatio-temporal data is becoming very popular in the recent times, as there are large number of datasets that collect both… (more)

Subjects/Keywords: Visualization; Spatio-temporal data; Time model; Taxi dataset

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APA (6th Edition):

Baskaran, S. (2016). Visualization of spatio-temporal data in two dimensional space. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/11833

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):

Baskaran, Savitha. “Visualization of spatio-temporal data in two dimensional space.” 2016. Thesis, IUPUI. Accessed October 19, 2019. http://hdl.handle.net/1805/11833.

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

MLA Handbook (7th Edition):

Baskaran, Savitha. “Visualization of spatio-temporal data in two dimensional space.” 2016. Web. 19 Oct 2019.

Vancouver:

Baskaran S. Visualization of spatio-temporal data in two dimensional space. [Internet] [Thesis]. IUPUI; 2016. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/1805/11833.

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

Council of Science Editors:

Baskaran S. Visualization of spatio-temporal data in two dimensional space. [Thesis]. IUPUI; 2016. Available from: http://hdl.handle.net/1805/11833

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

11. Matthews, Jennifer L. Spatio-Temporal Cluster Detection and Local Moran Statistics of Point Processes.

Degree: PhD, Mathematics and Statistics, 2019, Old Dominion University

  Moran's index is a statistic that measures spatial dependence, quantifying the degree of dispersion or clustering of point processes and events in some location/area.… (more)

Subjects/Keywords: Moran's index; Point processes; Simulation; Spatio-temporal model; Applied Statistics; Biostatistics

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APA (6th Edition):

Matthews, J. L. (2019). Spatio-Temporal Cluster Detection and Local Moran Statistics of Point Processes. (Doctoral Dissertation). Old Dominion University. Retrieved from 9781392268087 ; https://digitalcommons.odu.edu/mathstat_etds/46

Chicago Manual of Style (16th Edition):

Matthews, Jennifer L. “Spatio-Temporal Cluster Detection and Local Moran Statistics of Point Processes.” 2019. Doctoral Dissertation, Old Dominion University. Accessed October 19, 2019. 9781392268087 ; https://digitalcommons.odu.edu/mathstat_etds/46.

MLA Handbook (7th Edition):

Matthews, Jennifer L. “Spatio-Temporal Cluster Detection and Local Moran Statistics of Point Processes.” 2019. Web. 19 Oct 2019.

Vancouver:

Matthews JL. Spatio-Temporal Cluster Detection and Local Moran Statistics of Point Processes. [Internet] [Doctoral dissertation]. Old Dominion University; 2019. [cited 2019 Oct 19]. Available from: 9781392268087 ; https://digitalcommons.odu.edu/mathstat_etds/46.

Council of Science Editors:

Matthews JL. Spatio-Temporal Cluster Detection and Local Moran Statistics of Point Processes. [Doctoral Dissertation]. Old Dominion University; 2019. Available from: 9781392268087 ; https://digitalcommons.odu.edu/mathstat_etds/46


Virginia Tech

12. Chen, Yang. Robust Prediction of Large Spatio-Temporal Datasets.

Degree: MS, Computer Science, 2013, Virginia Tech

 This thesis describes a robust and efficient design of Student-t based Robust Spatio-Temporal Prediction, namely, St-RSTP, to provide estimation based on observations over spatio-temporal neighbors.… (more)

Subjects/Keywords: Robust Prediction; Expectation Propagation; Student's t Model; Bayesian Hierarchical Model; Spatio-Temporal Process

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APA (6th Edition):

Chen, Y. (2013). Robust Prediction of Large Spatio-Temporal Datasets. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23098

Chicago Manual of Style (16th Edition):

Chen, Yang. “Robust Prediction of Large Spatio-Temporal Datasets.” 2013. Masters Thesis, Virginia Tech. Accessed October 19, 2019. http://hdl.handle.net/10919/23098.

MLA Handbook (7th Edition):

Chen, Yang. “Robust Prediction of Large Spatio-Temporal Datasets.” 2013. Web. 19 Oct 2019.

Vancouver:

Chen Y. Robust Prediction of Large Spatio-Temporal Datasets. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/10919/23098.

Council of Science Editors:

Chen Y. Robust Prediction of Large Spatio-Temporal Datasets. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23098


The Ohio State University

13. Brynjarsdóttir, Jenný. Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical Downscaling.

Degree: PhD, Statistics, 2011, The Ohio State University

  The field of spatial and spatio-temporal statistics is increasingly faced with the challenge of very large datasets. Examples include data obtained from remote sensing… (more)

Subjects/Keywords: Statistics; Dimension reduction; spatio-temporal modeling; Bayesian hierarchical model; data-dependent basis vectors; statistical downscaling

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APA (6th Edition):

Brynjarsdóttir, J. (2011). Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical Downscaling. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1312935520

Chicago Manual of Style (16th Edition):

Brynjarsdóttir, Jenný. “Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical Downscaling.” 2011. Doctoral Dissertation, The Ohio State University. Accessed October 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1312935520.

MLA Handbook (7th Edition):

Brynjarsdóttir, Jenný. “Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical Downscaling.” 2011. Web. 19 Oct 2019.

Vancouver:

Brynjarsdóttir J. Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical Downscaling. [Internet] [Doctoral dissertation]. The Ohio State University; 2011. [cited 2019 Oct 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1312935520.

Council of Science Editors:

Brynjarsdóttir J. Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical Downscaling. [Doctoral Dissertation]. The Ohio State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1312935520


Baylor University

14. Patrick, Joshua D. (Joshua Daniel). Semiparametric estimation and forecasting for functional-coefficient autoregressive models.

Degree: Statistical Sciences., 2013, Baylor University

 The functional-coefficient autoregressive (FCAR) model is a useful structure for reducing the size of the class of nonlinear time series models. Local linear regression has… (more)

Subjects/Keywords: Functional-coefficient autoregressive models.; Forecasting.; Spline-backfitted kernel estimation.; Photovoltaic irradiance data.; Spatio-temporal model.

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APA (6th Edition):

Patrick, J. D. (. D. (2013). Semiparametric estimation and forecasting for functional-coefficient autoregressive models. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/8780

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):

Patrick, Joshua D (Joshua Daniel). “Semiparametric estimation and forecasting for functional-coefficient autoregressive models. ” 2013. Thesis, Baylor University. Accessed October 19, 2019. http://hdl.handle.net/2104/8780.

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

MLA Handbook (7th Edition):

Patrick, Joshua D (Joshua Daniel). “Semiparametric estimation and forecasting for functional-coefficient autoregressive models. ” 2013. Web. 19 Oct 2019.

Vancouver:

Patrick JD(D. Semiparametric estimation and forecasting for functional-coefficient autoregressive models. [Internet] [Thesis]. Baylor University; 2013. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/2104/8780.

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

Council of Science Editors:

Patrick JD(D. Semiparametric estimation and forecasting for functional-coefficient autoregressive models. [Thesis]. Baylor University; 2013. Available from: http://hdl.handle.net/2104/8780

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


McMaster University

15. Cheam, Amay SM. Mixture models for ROC curve and spatio-temporal clustering.

Degree: PhD, 2016, McMaster University

Finite mixture models have had a profound impact on the history of statistics, contributing to modelling heterogeneous populations, generalizing distributional assumptions, and lately, presenting a… (more)

Subjects/Keywords: Finite mixture models; ROC curve; Spatio-temporal data; Functional data; Model-based clustering; EM algorithm

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APA (6th Edition):

Cheam, A. S. (2016). Mixture models for ROC curve and spatio-temporal clustering. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/20693

Chicago Manual of Style (16th Edition):

Cheam, Amay SM. “Mixture models for ROC curve and spatio-temporal clustering.” 2016. Doctoral Dissertation, McMaster University. Accessed October 19, 2019. http://hdl.handle.net/11375/20693.

MLA Handbook (7th Edition):

Cheam, Amay SM. “Mixture models for ROC curve and spatio-temporal clustering.” 2016. Web. 19 Oct 2019.

Vancouver:

Cheam AS. Mixture models for ROC curve and spatio-temporal clustering. [Internet] [Doctoral dissertation]. McMaster University; 2016. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/11375/20693.

Council of Science Editors:

Cheam AS. Mixture models for ROC curve and spatio-temporal clustering. [Doctoral Dissertation]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/20693

16. Demel, Samuel Seth. Modeling and computations of multivariate datasets in space and time.

Degree: PhD, Department of Statistics, 2013, Kansas State University

Spatio-temporal and/or multivariate dependence naturally occur in datasets obtained in various disciplines; such as atmospheric sciences, meteorology, engineering and agriculture. There is a great deal… (more)

Subjects/Keywords: Spatio-temporal covariance modeling; Multivariate tapering; Spatial functional linear model; Statistics (0463)

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APA (6th Edition):

Demel, S. S. (2013). Modeling and computations of multivariate datasets in space and time. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/15578

Chicago Manual of Style (16th Edition):

Demel, Samuel Seth. “Modeling and computations of multivariate datasets in space and time.” 2013. Doctoral Dissertation, Kansas State University. Accessed October 19, 2019. http://hdl.handle.net/2097/15578.

MLA Handbook (7th Edition):

Demel, Samuel Seth. “Modeling and computations of multivariate datasets in space and time.” 2013. Web. 19 Oct 2019.

Vancouver:

Demel SS. Modeling and computations of multivariate datasets in space and time. [Internet] [Doctoral dissertation]. Kansas State University; 2013. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/2097/15578.

Council of Science Editors:

Demel SS. Modeling and computations of multivariate datasets in space and time. [Doctoral Dissertation]. Kansas State University; 2013. Available from: http://hdl.handle.net/2097/15578


University of Melbourne

17. SHI, MINGZHENG. Detecting change in an environment with wireless sensor networks.

Degree: 2010, University of Melbourne

 This thesis is motivated by a new observation tool, called wireless sensor network (WSN). WSN, as any other observation method, must cope with spatial, temporal,… (more)

Subjects/Keywords: GIS; Spatio-temporal Data Model; Qualitative Spatial Changes; Wireless Sensor Network; decentralized spatial computing

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APA (6th Edition):

SHI, M. (2010). Detecting change in an environment with wireless sensor networks. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/35786

Chicago Manual of Style (16th Edition):

SHI, MINGZHENG. “Detecting change in an environment with wireless sensor networks.” 2010. Doctoral Dissertation, University of Melbourne. Accessed October 19, 2019. http://hdl.handle.net/11343/35786.

MLA Handbook (7th Edition):

SHI, MINGZHENG. “Detecting change in an environment with wireless sensor networks.” 2010. Web. 19 Oct 2019.

Vancouver:

SHI M. Detecting change in an environment with wireless sensor networks. [Internet] [Doctoral dissertation]. University of Melbourne; 2010. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/11343/35786.

Council of Science Editors:

SHI M. Detecting change in an environment with wireless sensor networks. [Doctoral Dissertation]. University of Melbourne; 2010. Available from: http://hdl.handle.net/11343/35786


University of Illinois – Urbana-Champaign

18. Pan, Haozhi. Advancing PSS with complex urban systems sciences and scalable spatio-temporal models.

Degree: PhD, Regional Planning, 2017, University of Illinois – Urbana-Champaign

 Planning Support System (PSS) with a core of dynamic spatio-temporal model has been developed as analytical and information tools to aid and inform urban planning… (more)

Subjects/Keywords: Spatio-temporal model; Complex Urban Systems; High-performance computing; Planning Support Systems; Land-use change

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APA (6th Edition):

Pan, H. (2017). Advancing PSS with complex urban systems sciences and scalable spatio-temporal models. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99281

Chicago Manual of Style (16th Edition):

Pan, Haozhi. “Advancing PSS with complex urban systems sciences and scalable spatio-temporal models.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 19, 2019. http://hdl.handle.net/2142/99281.

MLA Handbook (7th Edition):

Pan, Haozhi. “Advancing PSS with complex urban systems sciences and scalable spatio-temporal models.” 2017. Web. 19 Oct 2019.

Vancouver:

Pan H. Advancing PSS with complex urban systems sciences and scalable spatio-temporal models. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/2142/99281.

Council of Science Editors:

Pan H. Advancing PSS with complex urban systems sciences and scalable spatio-temporal models. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99281


University of Pennsylvania

19. Choi, Jeonghye. Online Retailing in Spatially Dispersed Offline Markets.

Degree: 2010, University of Pennsylvania

 This dissertation comprises three essays that study online demand coming from local offline markets. In the first essay, I study two social influence effects reflected… (more)

Subjects/Keywords: E-Commerce; Spatio-Temporal Model; Long Tail; Social Influence; Preference Minorities; Marketing

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APA (6th Edition):

Choi, J. (2010). Online Retailing in Spatially Dispersed Offline Markets. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/178

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):

Choi, Jeonghye. “Online Retailing in Spatially Dispersed Offline Markets.” 2010. Thesis, University of Pennsylvania. Accessed October 19, 2019. https://repository.upenn.edu/edissertations/178.

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

MLA Handbook (7th Edition):

Choi, Jeonghye. “Online Retailing in Spatially Dispersed Offline Markets.” 2010. Web. 19 Oct 2019.

Vancouver:

Choi J. Online Retailing in Spatially Dispersed Offline Markets. [Internet] [Thesis]. University of Pennsylvania; 2010. [cited 2019 Oct 19]. Available from: https://repository.upenn.edu/edissertations/178.

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

Council of Science Editors:

Choi J. Online Retailing in Spatially Dispersed Offline Markets. [Thesis]. University of Pennsylvania; 2010. Available from: https://repository.upenn.edu/edissertations/178

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


University of Illinois – Urbana-Champaign

20. Shand, Lyndsay Elizabeth. Methods and applications for space-time data.

Degree: PhD, Statistics, 2017, University of Illinois – Urbana-Champaign

 Spatial and spatio-temporal data are presented in a variety of forms and require a unique set of techniques to analyze. The goal of such analyses… (more)

Subjects/Keywords: Spatio-temporal data; Nonstationary models; Areal data; Conditional autoregressive (CAR) model; Copula models

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

APA (6th Edition):

Shand, L. E. (2017). Methods and applications for space-time data. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97696

Chicago Manual of Style (16th Edition):

Shand, Lyndsay Elizabeth. “Methods and applications for space-time data.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 19, 2019. http://hdl.handle.net/2142/97696.

MLA Handbook (7th Edition):

Shand, Lyndsay Elizabeth. “Methods and applications for space-time data.” 2017. Web. 19 Oct 2019.

Vancouver:

Shand LE. Methods and applications for space-time data. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/2142/97696.

Council of Science Editors:

Shand LE. Methods and applications for space-time data. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97696


George Mason University

21. Yan, Yongping. Bayesian Hierarchical Point-Pattern-Based Intensity Model in Prediction of Highway Losses .

Degree: 2013, George Mason University

 Traditional spatial-temporal models either use separable models to separate spatial processes from temporal processes, which often results in a loss of information, or use nonseparable… (more)

Subjects/Keywords: Statistics; Public health; Bayesian Hierarchical Model; Expectation Maximization; Finite Mixture model; Highway losses; Poisson point process; Spatio-temporal

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APA (6th Edition):

Yan, Y. (2013). Bayesian Hierarchical Point-Pattern-Based Intensity Model in Prediction of Highway Losses . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/8754

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):

Yan, Yongping. “Bayesian Hierarchical Point-Pattern-Based Intensity Model in Prediction of Highway Losses .” 2013. Thesis, George Mason University. Accessed October 19, 2019. http://hdl.handle.net/1920/8754.

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

MLA Handbook (7th Edition):

Yan, Yongping. “Bayesian Hierarchical Point-Pattern-Based Intensity Model in Prediction of Highway Losses .” 2013. Web. 19 Oct 2019.

Vancouver:

Yan Y. Bayesian Hierarchical Point-Pattern-Based Intensity Model in Prediction of Highway Losses . [Internet] [Thesis]. George Mason University; 2013. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/1920/8754.

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

Council of Science Editors:

Yan Y. Bayesian Hierarchical Point-Pattern-Based Intensity Model in Prediction of Highway Losses . [Thesis]. George Mason University; 2013. Available from: http://hdl.handle.net/1920/8754

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

22. Chen, Longbin. Mathematical and Statistical Models of Culex Mosquito Abundance and Transmission Dynamics of West Nile Virus with Weather Impact.

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

 West Nile virus (WNV) is a serious public health concern worldwide. Mosquitoes are the key factor in the transmission of the disease. Forecasting mosquito abundance… (more)

Subjects/Keywords: Statistics; Hidden dimension; Matrix population model; Missing information; Mosquito abundance model; Weather impact; West Nile virus; Spatio-temporal

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APA (6th Edition):

Chen, L. (2018). Mathematical and Statistical Models of Culex Mosquito Abundance and Transmission Dynamics of West Nile Virus with Weather Impact. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/34496

Chicago Manual of Style (16th Edition):

Chen, Longbin. “Mathematical and Statistical Models of Culex Mosquito Abundance and Transmission Dynamics of West Nile Virus with Weather Impact.” 2018. Doctoral Dissertation, York University. Accessed October 19, 2019. http://hdl.handle.net/10315/34496.

MLA Handbook (7th Edition):

Chen, Longbin. “Mathematical and Statistical Models of Culex Mosquito Abundance and Transmission Dynamics of West Nile Virus with Weather Impact.” 2018. Web. 19 Oct 2019.

Vancouver:

Chen L. Mathematical and Statistical Models of Culex Mosquito Abundance and Transmission Dynamics of West Nile Virus with Weather Impact. [Internet] [Doctoral dissertation]. York University; 2018. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/10315/34496.

Council of Science Editors:

Chen L. Mathematical and Statistical Models of Culex Mosquito Abundance and Transmission Dynamics of West Nile Virus with Weather Impact. [Doctoral Dissertation]. York University; 2018. Available from: http://hdl.handle.net/10315/34496

23. Sanhes, Jeremy. Contribution à la fouille de données spatio-temporelles : application à l'étude de l'érosion : Contribution to spatio-temporal data mining : application to erosion study.

Degree: Docteur es, Informatique, 2014, Nouvelle Calédonie

Les événements spatio-temporels regroupent une large diversité de phénomènes comportant des caractéristiques propres. Par exemple, l’étude de flux migratoires se révèle ainsi très différente de… (more)

Subjects/Keywords: Fouille de données; Fouille de graphe; Spatio-Temporelles; Graphe orienté acyclique; Modèle expert; Erosion; Data mining; Graph mining; Spatio-Temporal; Directed acyclic graph; Expert model; Erosion; 004.36; 004.6; 551.300 285

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APA (6th Edition):

Sanhes, J. (2014). Contribution à la fouille de données spatio-temporelles : application à l'étude de l'érosion : Contribution to spatio-temporal data mining : application to erosion study. (Doctoral Dissertation). Nouvelle Calédonie. Retrieved from http://www.theses.fr/2014NCAL0065

Chicago Manual of Style (16th Edition):

Sanhes, Jeremy. “Contribution à la fouille de données spatio-temporelles : application à l'étude de l'érosion : Contribution to spatio-temporal data mining : application to erosion study.” 2014. Doctoral Dissertation, Nouvelle Calédonie. Accessed October 19, 2019. http://www.theses.fr/2014NCAL0065.

MLA Handbook (7th Edition):

Sanhes, Jeremy. “Contribution à la fouille de données spatio-temporelles : application à l'étude de l'érosion : Contribution to spatio-temporal data mining : application to erosion study.” 2014. Web. 19 Oct 2019.

Vancouver:

Sanhes J. Contribution à la fouille de données spatio-temporelles : application à l'étude de l'érosion : Contribution to spatio-temporal data mining : application to erosion study. [Internet] [Doctoral dissertation]. Nouvelle Calédonie; 2014. [cited 2019 Oct 19]. Available from: http://www.theses.fr/2014NCAL0065.

Council of Science Editors:

Sanhes J. Contribution à la fouille de données spatio-temporelles : application à l'étude de l'érosion : Contribution to spatio-temporal data mining : application to erosion study. [Doctoral Dissertation]. Nouvelle Calédonie; 2014. Available from: http://www.theses.fr/2014NCAL0065

24. Talebzadeh Shahrbabaki, Shahrbanoo. Contribution of colour in guiding visual attention and in a computational model of visual saliency : Contribution de la couleur dans l'attention visuelle et un modèle de saillance visuelle.

Degree: Docteur es, Signal, image, paroles, télécoms, 2015, Grenoble Alpes

Les études menées dans cette thèse portent sur le rôle de la couleur dans l'attention visuelle. Nous avons tenté de comprendre l'influence de l'information couleur… (more)

Subjects/Keywords: Attention visuelle; Saillance spatio-temporel; Modèle de vision; Saillance de couleur; Classification; Calcul paralèlle; Visual attention; Spatio-temporal saliency; Model of vision; Color saliency; Classification; Parallel computing; 620

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APA (6th Edition):

Talebzadeh Shahrbabaki, S. (2015). Contribution of colour in guiding visual attention and in a computational model of visual saliency : Contribution de la couleur dans l'attention visuelle et un modèle de saillance visuelle. (Doctoral Dissertation). Grenoble Alpes. Retrieved from http://www.theses.fr/2015GREAT093

Chicago Manual of Style (16th Edition):

Talebzadeh Shahrbabaki, Shahrbanoo. “Contribution of colour in guiding visual attention and in a computational model of visual saliency : Contribution de la couleur dans l'attention visuelle et un modèle de saillance visuelle.” 2015. Doctoral Dissertation, Grenoble Alpes. Accessed October 19, 2019. http://www.theses.fr/2015GREAT093.

MLA Handbook (7th Edition):

Talebzadeh Shahrbabaki, Shahrbanoo. “Contribution of colour in guiding visual attention and in a computational model of visual saliency : Contribution de la couleur dans l'attention visuelle et un modèle de saillance visuelle.” 2015. Web. 19 Oct 2019.

Vancouver:

Talebzadeh Shahrbabaki S. Contribution of colour in guiding visual attention and in a computational model of visual saliency : Contribution de la couleur dans l'attention visuelle et un modèle de saillance visuelle. [Internet] [Doctoral dissertation]. Grenoble Alpes; 2015. [cited 2019 Oct 19]. Available from: http://www.theses.fr/2015GREAT093.

Council of Science Editors:

Talebzadeh Shahrbabaki S. Contribution of colour in guiding visual attention and in a computational model of visual saliency : Contribution de la couleur dans l'attention visuelle et un modèle de saillance visuelle. [Doctoral Dissertation]. Grenoble Alpes; 2015. Available from: http://www.theses.fr/2015GREAT093

25. Riotte-Lambert, Louise. Se souvenir et revenir : approche théorique et méthodologique des stratégies de déplacement récursif et de leurs conséquences populationnelles : Remembering and coming back : a theoretical and methodological approach to recursive movement strategies and their population-level consequences.

Degree: Docteur es, Ecologie et biodiversité, 2016, Montpellier

Les patrons récursifs de déplacement, où l’individu revient à des sites déjà visités, sont très répandus. L’utilisation de la mémoire, supposée être avantageuse lorsque l’environnement… (more)

Subjects/Keywords: Écologie du déplacement; Domaine vital; Mémoire spatio-temporelle; Marche aléatoire; Récursion; Modèle individu-centré; Movement ecology; Home range; Spatio-Temporal memory; Random walk; Recursion; Individual-Based model

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APA (6th Edition):

Riotte-Lambert, L. (2016). Se souvenir et revenir : approche théorique et méthodologique des stratégies de déplacement récursif et de leurs conséquences populationnelles : Remembering and coming back : a theoretical and methodological approach to recursive movement strategies and their population-level consequences. (Doctoral Dissertation). Montpellier. Retrieved from http://www.theses.fr/2016MONTT169

Chicago Manual of Style (16th Edition):

Riotte-Lambert, Louise. “Se souvenir et revenir : approche théorique et méthodologique des stratégies de déplacement récursif et de leurs conséquences populationnelles : Remembering and coming back : a theoretical and methodological approach to recursive movement strategies and their population-level consequences.” 2016. Doctoral Dissertation, Montpellier. Accessed October 19, 2019. http://www.theses.fr/2016MONTT169.

MLA Handbook (7th Edition):

Riotte-Lambert, Louise. “Se souvenir et revenir : approche théorique et méthodologique des stratégies de déplacement récursif et de leurs conséquences populationnelles : Remembering and coming back : a theoretical and methodological approach to recursive movement strategies and their population-level consequences.” 2016. Web. 19 Oct 2019.

Vancouver:

Riotte-Lambert L. Se souvenir et revenir : approche théorique et méthodologique des stratégies de déplacement récursif et de leurs conséquences populationnelles : Remembering and coming back : a theoretical and methodological approach to recursive movement strategies and their population-level consequences. [Internet] [Doctoral dissertation]. Montpellier; 2016. [cited 2019 Oct 19]. Available from: http://www.theses.fr/2016MONTT169.

Council of Science Editors:

Riotte-Lambert L. Se souvenir et revenir : approche théorique et méthodologique des stratégies de déplacement récursif et de leurs conséquences populationnelles : Remembering and coming back : a theoretical and methodological approach to recursive movement strategies and their population-level consequences. [Doctoral Dissertation]. Montpellier; 2016. Available from: http://www.theses.fr/2016MONTT169


Université de Sherbrooke

26. Nzang Essono, Francine. Approche géomatique de la variabilité spatio-temporelle de la contamination microbienne des eaux récréatives .

Degree: 2017, Université de Sherbrooke

 L’objectif général de cette thèse est de caractériser la dynamique des transferts des bactéries fécales à l’aide d’une modélisation spatio-temporelle, à l’échelle du bassin versant… (more)

Subjects/Keywords: Contamination microbienne; Eaux récréatives; Approche probabiliste; Indices de Sobol; AVSWAT; Cartographie; Modélisation spatio-temporelle; Faecal contamination; Recreational water; Probabilistic modelling; Sobol’s sensitivity indices; Predictive mapping; Spatio-temporal model

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APA (6th Edition):

Nzang Essono, F. (2017). Approche géomatique de la variabilité spatio-temporelle de la contamination microbienne des eaux récréatives . (Doctoral Dissertation). Université de Sherbrooke. Retrieved from http://hdl.handle.net/11143/10211

Chicago Manual of Style (16th Edition):

Nzang Essono, Francine. “Approche géomatique de la variabilité spatio-temporelle de la contamination microbienne des eaux récréatives .” 2017. Doctoral Dissertation, Université de Sherbrooke. Accessed October 19, 2019. http://hdl.handle.net/11143/10211.

MLA Handbook (7th Edition):

Nzang Essono, Francine. “Approche géomatique de la variabilité spatio-temporelle de la contamination microbienne des eaux récréatives .” 2017. Web. 19 Oct 2019.

Vancouver:

Nzang Essono F. Approche géomatique de la variabilité spatio-temporelle de la contamination microbienne des eaux récréatives . [Internet] [Doctoral dissertation]. Université de Sherbrooke; 2017. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/11143/10211.

Council of Science Editors:

Nzang Essono F. Approche géomatique de la variabilité spatio-temporelle de la contamination microbienne des eaux récréatives . [Doctoral Dissertation]. Université de Sherbrooke; 2017. Available from: http://hdl.handle.net/11143/10211


Georgia Tech

27. Jiang, Huijing. Statistical computation and inference for functional data analysis.

Degree: PhD, Industrial and Systems Engineering, 2010, Georgia Tech

 My doctoral research dissertation focuses on two aspects of functional data analysis (FDA): FDA under spatial interdependence and FDA for multi-level data. The first part… (more)

Subjects/Keywords: Service distribution equity; Multi-level data; Model-based clustering; Spatio-temporal; Functional data analysis; Multilevel models (Statistics); Markov random fields

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APA (6th Edition):

Jiang, H. (2010). Statistical computation and inference for functional data analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37087

Chicago Manual of Style (16th Edition):

Jiang, Huijing. “Statistical computation and inference for functional data analysis.” 2010. Doctoral Dissertation, Georgia Tech. Accessed October 19, 2019. http://hdl.handle.net/1853/37087.

MLA Handbook (7th Edition):

Jiang, Huijing. “Statistical computation and inference for functional data analysis.” 2010. Web. 19 Oct 2019.

Vancouver:

Jiang H. Statistical computation and inference for functional data analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/1853/37087.

Council of Science Editors:

Jiang H. Statistical computation and inference for functional data analysis. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/37087


Queensland University of Technology

28. Campbell, Alexander B. Spatio-temporal pattern discovery and hypothesis exploration using a delay reconstruction approach.

Degree: 2008, Queensland University of Technology

 This thesis investigates the computer-based modelling and simulation of complex geospatial phenomena. Geospatial systems are real world processes which extend over some meaningful extent of… (more)

Subjects/Keywords: delay reconstruction; attractor reconstruction; geospatial; spatio-temporal; time series; model selection; validation; pattern discovery; agent-based; hypothesis exploration

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APA (6th Edition):

Campbell, A. B. (2008). Spatio-temporal pattern discovery and hypothesis exploration using a delay reconstruction approach. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/17676/

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):

Campbell, Alexander B. “Spatio-temporal pattern discovery and hypothesis exploration using a delay reconstruction approach.” 2008. Thesis, Queensland University of Technology. Accessed October 19, 2019. https://eprints.qut.edu.au/17676/.

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

MLA Handbook (7th Edition):

Campbell, Alexander B. “Spatio-temporal pattern discovery and hypothesis exploration using a delay reconstruction approach.” 2008. Web. 19 Oct 2019.

Vancouver:

Campbell AB. Spatio-temporal pattern discovery and hypothesis exploration using a delay reconstruction approach. [Internet] [Thesis]. Queensland University of Technology; 2008. [cited 2019 Oct 19]. Available from: https://eprints.qut.edu.au/17676/.

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

Council of Science Editors:

Campbell AB. Spatio-temporal pattern discovery and hypothesis exploration using a delay reconstruction approach. [Thesis]. Queensland University of Technology; 2008. Available from: https://eprints.qut.edu.au/17676/

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


Universidade Nova

29. Kawsar, Riazuddin. Spatio-temporal analyses of the relationship between armed conflict and climate change in the eastern Africa.

Degree: 2013, Universidade Nova

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Despite recent methodological improvements and higher data… (more)

Subjects/Keywords: Armed Conflict; Climate Change; Spatial Point Pattern analysis; Spatial distribution pattern; Spatio-temporal modelling; Spatial Autoregressive model; Climate conflict relationship

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APA (6th Edition):

Kawsar, R. (2013). Spatio-temporal analyses of the relationship between armed conflict and climate change in the eastern Africa. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/9189

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):

Kawsar, Riazuddin. “Spatio-temporal analyses of the relationship between armed conflict and climate change in the eastern Africa.” 2013. Thesis, Universidade Nova. Accessed October 19, 2019. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/9189.

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

MLA Handbook (7th Edition):

Kawsar, Riazuddin. “Spatio-temporal analyses of the relationship between armed conflict and climate change in the eastern Africa.” 2013. Web. 19 Oct 2019.

Vancouver:

Kawsar R. Spatio-temporal analyses of the relationship between armed conflict and climate change in the eastern Africa. [Internet] [Thesis]. Universidade Nova; 2013. [cited 2019 Oct 19]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/9189.

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

Council of Science Editors:

Kawsar R. Spatio-temporal analyses of the relationship between armed conflict and climate change in the eastern Africa. [Thesis]. Universidade Nova; 2013. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/9189

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


University of Adelaide

30. Thanigaimani, Shivshankar. Atrial reverse remodeling in hypertensive substrate.

Degree: 2015, University of Adelaide

 Hypertension is a major independent risk factor for atrial fibrillation (AF). Despite various clinical and experimental studies on atrial remodeling in hypertensive substrates, pre-clinical experimental… (more)

Subjects/Keywords: atrial fibrillation; hypertension; 1K1C ovine model; Fibrosis; inflammation; Connexin43; TGF-B1; CTGF; CFAE; DF; spatio-temporal complexity

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

APA (6th Edition):

Thanigaimani, S. (2015). Atrial reverse remodeling in hypertensive substrate. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/98709

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):

Thanigaimani, Shivshankar. “Atrial reverse remodeling in hypertensive substrate.” 2015. Thesis, University of Adelaide. Accessed October 19, 2019. http://hdl.handle.net/2440/98709.

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

MLA Handbook (7th Edition):

Thanigaimani, Shivshankar. “Atrial reverse remodeling in hypertensive substrate.” 2015. Web. 19 Oct 2019.

Vancouver:

Thanigaimani S. Atrial reverse remodeling in hypertensive substrate. [Internet] [Thesis]. University of Adelaide; 2015. [cited 2019 Oct 19]. Available from: http://hdl.handle.net/2440/98709.

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

Council of Science Editors:

Thanigaimani S. Atrial reverse remodeling in hypertensive substrate. [Thesis]. University of Adelaide; 2015. Available from: http://hdl.handle.net/2440/98709

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

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