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310 total matches.

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- 2017 – 2021 (114)
- 2012 – 2016 (115)
- 2007 – 2011 (55)
- 2002 – 2006 (20)

Universities

- University of Cambridge (20)
- Georgia Tech (13)
- Michigan State University (13)
- University of Oxford (12)

Degrees

- PhD (108)
- Docteur es (29)
- MS (13)

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1. Li, Sai. Constructing confidence intervals in high-dimensional models and dealing with pleiotropy in mendelian randomization.

Degree: PhD, Statistics and Biostatistics, 2018, Rutgers University

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/57643/

►

Constructing confidence intervals in high-dimensional models is a challenging task due to the lack of knowledge on the distribution of many regularized estimators. The debiased… (more)

Subjects/Keywords: Gaussian processes

Record Details Similar Records

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

APA (6^{th} Edition):

Li, S. (2018). Constructing confidence intervals in high-dimensional models and dealing with pleiotropy in mendelian randomization. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/57643/

Chicago Manual of Style (16^{th} Edition):

Li, Sai. “Constructing confidence intervals in high-dimensional models and dealing with pleiotropy in mendelian randomization.” 2018. Doctoral Dissertation, Rutgers University. Accessed May 09, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/57643/.

MLA Handbook (7^{th} Edition):

Li, Sai. “Constructing confidence intervals in high-dimensional models and dealing with pleiotropy in mendelian randomization.” 2018. Web. 09 May 2021.

Vancouver:

Li S. Constructing confidence intervals in high-dimensional models and dealing with pleiotropy in mendelian randomization. [Internet] [Doctoral dissertation]. Rutgers University; 2018. [cited 2021 May 09]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/57643/.

Council of Science Editors:

Li S. Constructing confidence intervals in high-dimensional models and dealing with pleiotropy in mendelian randomization. [Doctoral Dissertation]. Rutgers University; 2018. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/57643/

Oregon State University

2.
Kolodziej, Wojciech Jan.
Conditionally *Gaussian* *processes* in stochastic control theory.

Degree: PhD, Electrical and Computer Engineering, 1980, Oregon State University

URL: http://hdl.handle.net/1957/42084

► An application of the theory of conditionally *Gaussian* random *processes* to filtering and stochastic control problems is presented here. The results due to Liptser and…
(more)

Subjects/Keywords: Gaussian processes

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APA (6^{th} Edition):

Kolodziej, W. J. (1980). Conditionally Gaussian processes in stochastic control theory. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/42084

Chicago Manual of Style (16^{th} Edition):

Kolodziej, Wojciech Jan. “Conditionally Gaussian processes in stochastic control theory.” 1980. Doctoral Dissertation, Oregon State University. Accessed May 09, 2021. http://hdl.handle.net/1957/42084.

MLA Handbook (7^{th} Edition):

Kolodziej, Wojciech Jan. “Conditionally Gaussian processes in stochastic control theory.” 1980. Web. 09 May 2021.

Vancouver:

Kolodziej WJ. Conditionally Gaussian processes in stochastic control theory. [Internet] [Doctoral dissertation]. Oregon State University; 1980. [cited 2021 May 09]. Available from: http://hdl.handle.net/1957/42084.

Council of Science Editors:

Kolodziej WJ. Conditionally Gaussian processes in stochastic control theory. [Doctoral Dissertation]. Oregon State University; 1980. Available from: http://hdl.handle.net/1957/42084

Oregon State University

3.
Attia, Farag Abdel-Salam.
On the distribution function of the interval between zero-crossings of a stationary *Gaussian* process.

Degree: PhD, Mathematics, 1969, Oregon State University

URL: http://hdl.handle.net/1957/17123

See pdf
*Advisors/Committee Members: Stone, William M. (advisor).*

Subjects/Keywords: Gaussian processes

Record Details Similar Records

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

APA (6^{th} Edition):

Attia, F. A. (1969). On the distribution function of the interval between zero-crossings of a stationary Gaussian process. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/17123

Chicago Manual of Style (16^{th} Edition):

Attia, Farag Abdel-Salam. “On the distribution function of the interval between zero-crossings of a stationary Gaussian process.” 1969. Doctoral Dissertation, Oregon State University. Accessed May 09, 2021. http://hdl.handle.net/1957/17123.

MLA Handbook (7^{th} Edition):

Attia, Farag Abdel-Salam. “On the distribution function of the interval between zero-crossings of a stationary Gaussian process.” 1969. Web. 09 May 2021.

Vancouver:

Attia FA. On the distribution function of the interval between zero-crossings of a stationary Gaussian process. [Internet] [Doctoral dissertation]. Oregon State University; 1969. [cited 2021 May 09]. Available from: http://hdl.handle.net/1957/17123.

Council of Science Editors:

Attia FA. On the distribution function of the interval between zero-crossings of a stationary Gaussian process. [Doctoral Dissertation]. Oregon State University; 1969. Available from: http://hdl.handle.net/1957/17123

Columbia University

4. Li, Tong. On the Construction of Minimax Optimal Nonparametric Tests with Kernel Embedding Methods.

Degree: 2021, Columbia University

URL: https://doi.org/10.7916/d8-mehw-pp87

► Kernel embedding methods have witnessed a great deal of practical success in the area of nonparametric hypothesis testing in recent years. But ever since its…
(more)

Subjects/Keywords: Statistics; Gaussian processes; Nonparametric statistics

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APA (6^{th} Edition):

Li, T. (2021). On the Construction of Minimax Optimal Nonparametric Tests with Kernel Embedding Methods. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/d8-mehw-pp87

Chicago Manual of Style (16^{th} Edition):

Li, Tong. “On the Construction of Minimax Optimal Nonparametric Tests with Kernel Embedding Methods.” 2021. Doctoral Dissertation, Columbia University. Accessed May 09, 2021. https://doi.org/10.7916/d8-mehw-pp87.

MLA Handbook (7^{th} Edition):

Li, Tong. “On the Construction of Minimax Optimal Nonparametric Tests with Kernel Embedding Methods.” 2021. Web. 09 May 2021.

Vancouver:

Li T. On the Construction of Minimax Optimal Nonparametric Tests with Kernel Embedding Methods. [Internet] [Doctoral dissertation]. Columbia University; 2021. [cited 2021 May 09]. Available from: https://doi.org/10.7916/d8-mehw-pp87.

Council of Science Editors:

Li T. On the Construction of Minimax Optimal Nonparametric Tests with Kernel Embedding Methods. [Doctoral Dissertation]. Columbia University; 2021. Available from: https://doi.org/10.7916/d8-mehw-pp87

University of Alaska – Fairbanks

5.
Best, John K.
* Gaussian* process convolutions for Bayesian spatial classification.

Degree: 2016, University of Alaska – Fairbanks

URL: http://hdl.handle.net/11122/8031

► We compare three models for their ability to perform binary spatial classification. A geospatial data set consisting of observations that are either permafrost or not…
(more)

Subjects/Keywords: Gaussian processes; Spatial analysis (Statistics)

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APA (6^{th} Edition):

Best, J. K. (2016). Gaussian process convolutions for Bayesian spatial classification. (Thesis). University of Alaska – Fairbanks. Retrieved from http://hdl.handle.net/11122/8031

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Best, John K. “Gaussian process convolutions for Bayesian spatial classification.” 2016. Thesis, University of Alaska – Fairbanks. Accessed May 09, 2021. http://hdl.handle.net/11122/8031.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Best, John K. “Gaussian process convolutions for Bayesian spatial classification.” 2016. Web. 09 May 2021.

Vancouver:

Best JK. Gaussian process convolutions for Bayesian spatial classification. [Internet] [Thesis]. University of Alaska – Fairbanks; 2016. [cited 2021 May 09]. Available from: http://hdl.handle.net/11122/8031.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Best JK. Gaussian process convolutions for Bayesian spatial classification. [Thesis]. University of Alaska – Fairbanks; 2016. Available from: http://hdl.handle.net/11122/8031

Not specified: Masters Thesis or Doctoral Dissertation

Royal Holloway, University of London

6. Schaechtle, Ulrich. Dynamic causal discovery.

Degree: PhD, 2016, Royal Holloway, University of London

URL: https://pure.royalholloway.ac.uk/portal/en/publications/dynamic-causal-discovery(cd3d3473-702f-41ff-921d-94af862c6aad).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.792446

► Discovering rich causal models computationally can be key to creating human like artificial intelligence. Recent research has detached the notion of time from approaches to…
(more)

Subjects/Keywords: Causality; Gaussian Processes; Causal Discovery; Probabilistic Programming

Record Details Similar Records

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

APA (6^{th} Edition):

Schaechtle, U. (2016). Dynamic causal discovery. (Doctoral Dissertation). Royal Holloway, University of London. Retrieved from https://pure.royalholloway.ac.uk/portal/en/publications/dynamic-causal-discovery(cd3d3473-702f-41ff-921d-94af862c6aad).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.792446

Chicago Manual of Style (16^{th} Edition):

Schaechtle, Ulrich. “Dynamic causal discovery.” 2016. Doctoral Dissertation, Royal Holloway, University of London. Accessed May 09, 2021. https://pure.royalholloway.ac.uk/portal/en/publications/dynamic-causal-discovery(cd3d3473-702f-41ff-921d-94af862c6aad).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.792446.

MLA Handbook (7^{th} Edition):

Schaechtle, Ulrich. “Dynamic causal discovery.” 2016. Web. 09 May 2021.

Vancouver:

Schaechtle U. Dynamic causal discovery. [Internet] [Doctoral dissertation]. Royal Holloway, University of London; 2016. [cited 2021 May 09]. Available from: https://pure.royalholloway.ac.uk/portal/en/publications/dynamic-causal-discovery(cd3d3473-702f-41ff-921d-94af862c6aad).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.792446.

Council of Science Editors:

Schaechtle U. Dynamic causal discovery. [Doctoral Dissertation]. Royal Holloway, University of London; 2016. Available from: https://pure.royalholloway.ac.uk/portal/en/publications/dynamic-causal-discovery(cd3d3473-702f-41ff-921d-94af862c6aad).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.792446

University of Johannesburg

7.
Robbertse, Johannes Lodewickes.
Estimation of parameters and tests for parameter changes in fractional *Gaussian* noise.

Degree: 2013, University of Johannesburg

URL: http://hdl.handle.net/10210/8570

►

D.Phil. (Mathematical Statistics)

Fractional Brownian motion and its increment process, fractional *Gaussian* noise, are syn- onymous with the concept of long range dependence. A strictly…
(more)

Subjects/Keywords: Gaussian processes; Random noise theory; Parameter estimation

Record Details Similar Records

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APA (6^{th} Edition):

Robbertse, J. L. (2013). Estimation of parameters and tests for parameter changes in fractional Gaussian noise. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/8570

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Robbertse, Johannes Lodewickes. “Estimation of parameters and tests for parameter changes in fractional Gaussian noise.” 2013. Thesis, University of Johannesburg. Accessed May 09, 2021. http://hdl.handle.net/10210/8570.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Robbertse, Johannes Lodewickes. “Estimation of parameters and tests for parameter changes in fractional Gaussian noise.” 2013. Web. 09 May 2021.

Vancouver:

Robbertse JL. Estimation of parameters and tests for parameter changes in fractional Gaussian noise. [Internet] [Thesis]. University of Johannesburg; 2013. [cited 2021 May 09]. Available from: http://hdl.handle.net/10210/8570.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Robbertse JL. Estimation of parameters and tests for parameter changes in fractional Gaussian noise. [Thesis]. University of Johannesburg; 2013. Available from: http://hdl.handle.net/10210/8570

Not specified: Masters Thesis or Doctoral Dissertation

University of Sydney

8.
Silversides, Katherine.
Automated analysis of natural gamm logs by *gaussian* *processes*: Application to marker shales in iron ore mines
.

Degree: 2013, University of Sydney

URL: http://hdl.handle.net/2123/9722

► In the banded iron formation hosted ores of the Hamersley Province, Western Australia, laterally persistent shale bands represent mappable marker units that allow the stratigraphy…
(more)

Subjects/Keywords: Hamersley iron ore; geophysical logging; Gaussian Processes

Record Details Similar Records

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APA (6^{th} Edition):

Silversides, K. (2013). Automated analysis of natural gamm logs by gaussian processes: Application to marker shales in iron ore mines . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/9722

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Silversides, Katherine. “Automated analysis of natural gamm logs by gaussian processes: Application to marker shales in iron ore mines .” 2013. Thesis, University of Sydney. Accessed May 09, 2021. http://hdl.handle.net/2123/9722.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Silversides, Katherine. “Automated analysis of natural gamm logs by gaussian processes: Application to marker shales in iron ore mines .” 2013. Web. 09 May 2021.

Vancouver:

Silversides K. Automated analysis of natural gamm logs by gaussian processes: Application to marker shales in iron ore mines . [Internet] [Thesis]. University of Sydney; 2013. [cited 2021 May 09]. Available from: http://hdl.handle.net/2123/9722.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Silversides K. Automated analysis of natural gamm logs by gaussian processes: Application to marker shales in iron ore mines . [Thesis]. University of Sydney; 2013. Available from: http://hdl.handle.net/2123/9722

Not specified: Masters Thesis or Doctoral Dissertation

University of Missouri – Columbia

9. Calhoun, Ryan J. On the relationship between generalized covariance union and the minimal enclosing ellipsoid problem.

Degree: 2008, University of Missouri – Columbia

URL: https://doi.org/10.32469/10355/6675

► [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Examination of the behavior of Generalized Covariance Union (GCU) reveals a previously unsuspected superficial relationship…
(more)

Subjects/Keywords: Ellipsoid; Gaussian processes

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APA (6^{th} Edition):

Calhoun, R. J. (2008). On the relationship between generalized covariance union and the minimal enclosing ellipsoid problem. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/6675

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Calhoun, Ryan J. “On the relationship between generalized covariance union and the minimal enclosing ellipsoid problem.” 2008. Thesis, University of Missouri – Columbia. Accessed May 09, 2021. https://doi.org/10.32469/10355/6675.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Calhoun, Ryan J. “On the relationship between generalized covariance union and the minimal enclosing ellipsoid problem.” 2008. Web. 09 May 2021.

Vancouver:

Calhoun RJ. On the relationship between generalized covariance union and the minimal enclosing ellipsoid problem. [Internet] [Thesis]. University of Missouri – Columbia; 2008. [cited 2021 May 09]. Available from: https://doi.org/10.32469/10355/6675.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Calhoun RJ. On the relationship between generalized covariance union and the minimal enclosing ellipsoid problem. [Thesis]. University of Missouri – Columbia; 2008. Available from: https://doi.org/10.32469/10355/6675

Not specified: Masters Thesis or Doctoral Dissertation

Michigan State University

10.
Zhou, Yuzhen.
Multivariate *Gaussian* random fields : extreme values, parameter estimation and prediction.

Degree: 2015, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:3607

►

Thesis Ph. D. Michigan State University. Statistics 2015

Motivated by the wide applications of multivariate *Gaussian* random fields in spatial modeling, we study the tail…
(more)

Subjects/Keywords: Multivariate analysis; Gaussian processes; Random fields; Statistics

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APA (6^{th} Edition):

Zhou, Y. (2015). Multivariate Gaussian random fields : extreme values, parameter estimation and prediction. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:3607

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Zhou, Yuzhen. “Multivariate Gaussian random fields : extreme values, parameter estimation and prediction.” 2015. Thesis, Michigan State University. Accessed May 09, 2021. http://etd.lib.msu.edu/islandora/object/etd:3607.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Zhou, Yuzhen. “Multivariate Gaussian random fields : extreme values, parameter estimation and prediction.” 2015. Web. 09 May 2021.

Vancouver:

Zhou Y. Multivariate Gaussian random fields : extreme values, parameter estimation and prediction. [Internet] [Thesis]. Michigan State University; 2015. [cited 2021 May 09]. Available from: http://etd.lib.msu.edu/islandora/object/etd:3607.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhou Y. Multivariate Gaussian random fields : extreme values, parameter estimation and prediction. [Thesis]. Michigan State University; 2015. Available from: http://etd.lib.msu.edu/islandora/object/etd:3607

Not specified: Masters Thesis or Doctoral Dissertation

Virginia Tech

11.
Chowdhary, Abhilash.
Terrain Aided Navigation for Autonomous Underwater Vehicles with Local *Gaussian* * Processes*.

Degree: MS, Computer Engineering, 2017, Virginia Tech

URL: http://hdl.handle.net/10919/78278

► Navigation of autonomous underwater vehicles (AUVs) in the subsea environment is particularly challenging due to the unavailability of GPS because of rapid attenuation of electromagnetic…
(more)

Subjects/Keywords: Autonomous Underwater Vehicles; Navigation; Gaussian Processes

Record Details Similar Records

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

APA (6^{th} Edition):

Chowdhary, A. (2017). Terrain Aided Navigation for Autonomous Underwater Vehicles with Local Gaussian Processes. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78278

Chicago Manual of Style (16^{th} Edition):

Chowdhary, Abhilash. “Terrain Aided Navigation for Autonomous Underwater Vehicles with Local Gaussian Processes.” 2017. Masters Thesis, Virginia Tech. Accessed May 09, 2021. http://hdl.handle.net/10919/78278.

MLA Handbook (7^{th} Edition):

Chowdhary, Abhilash. “Terrain Aided Navigation for Autonomous Underwater Vehicles with Local Gaussian Processes.” 2017. Web. 09 May 2021.

Vancouver:

Chowdhary A. Terrain Aided Navigation for Autonomous Underwater Vehicles with Local Gaussian Processes. [Internet] [Masters thesis]. Virginia Tech; 2017. [cited 2021 May 09]. Available from: http://hdl.handle.net/10919/78278.

Council of Science Editors:

Chowdhary A. Terrain Aided Navigation for Autonomous Underwater Vehicles with Local Gaussian Processes. [Masters Thesis]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78278

University of Sydney

12. Tompkins, Anthony. Bayesian Spatio-Temporal Modelling with Fourier Features .

Degree: 2018, University of Sydney

URL: http://hdl.handle.net/2123/21328

► One of the most powerful machine learning techniques is \emph{*Gaussian* *Processes*} (GPs) which incur an O(N^{3}) complexity in the number of data samples. In regression…
(more)

Subjects/Keywords: Gaussian Processes; bayesian inference; periodicity; Timeseries

Record Details Similar Records

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

APA (6^{th} Edition):

Tompkins, A. (2018). Bayesian Spatio-Temporal Modelling with Fourier Features . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/21328

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Tompkins, Anthony. “Bayesian Spatio-Temporal Modelling with Fourier Features .” 2018. Thesis, University of Sydney. Accessed May 09, 2021. http://hdl.handle.net/2123/21328.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Tompkins, Anthony. “Bayesian Spatio-Temporal Modelling with Fourier Features .” 2018. Web. 09 May 2021.

Vancouver:

Tompkins A. Bayesian Spatio-Temporal Modelling with Fourier Features . [Internet] [Thesis]. University of Sydney; 2018. [cited 2021 May 09]. Available from: http://hdl.handle.net/2123/21328.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tompkins A. Bayesian Spatio-Temporal Modelling with Fourier Features . [Thesis]. University of Sydney; 2018. Available from: http://hdl.handle.net/2123/21328

Not specified: Masters Thesis or Doctoral Dissertation

University of Sydney

13. Barkby, Stephen. Efficient and Featureless Approaches to Bathymetric Simultaneous Localisation and Mapping .

Degree: 2011, University of Sydney

URL: http://hdl.handle.net/2123/7919

► This thesis investigates efficient forms of Simultaneous Localization and Mapping (SLAM) that do not require explicit identification, tracking or association of map features. The specific…
(more)

Subjects/Keywords: SLAM; navigation; mapping; bathymetric; Gaussian Processes

Record Details Similar Records

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

APA (6^{th} Edition):

Barkby, S. (2011). Efficient and Featureless Approaches to Bathymetric Simultaneous Localisation and Mapping . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/7919

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Barkby, Stephen. “Efficient and Featureless Approaches to Bathymetric Simultaneous Localisation and Mapping .” 2011. Thesis, University of Sydney. Accessed May 09, 2021. http://hdl.handle.net/2123/7919.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Barkby, Stephen. “Efficient and Featureless Approaches to Bathymetric Simultaneous Localisation and Mapping .” 2011. Web. 09 May 2021.

Vancouver:

Barkby S. Efficient and Featureless Approaches to Bathymetric Simultaneous Localisation and Mapping . [Internet] [Thesis]. University of Sydney; 2011. [cited 2021 May 09]. Available from: http://hdl.handle.net/2123/7919.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Barkby S. Efficient and Featureless Approaches to Bathymetric Simultaneous Localisation and Mapping . [Thesis]. University of Sydney; 2011. Available from: http://hdl.handle.net/2123/7919

Not specified: Masters Thesis or Doctoral Dissertation

Virginia Tech

14. Suryan, Varun. Learning a Spatial Field in Minimum Time with a Team of Robots.

Degree: M. S., Computer Engineering, 2018, Virginia Tech

URL: http://hdl.handle.net/10919/93735

► We solve the problem of measuring a physical phenomenon accurately using a team of robots in minimum time. Examples of such phenomena include the amount…
(more)

Subjects/Keywords: Sensor Placement; Informative Path Planning; Gaussian Processes

Record Details Similar Records

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APA (6^{th} Edition):

Suryan, V. (2018). Learning a Spatial Field in Minimum Time with a Team of Robots. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/93735

Chicago Manual of Style (16^{th} Edition):

Suryan, Varun. “Learning a Spatial Field in Minimum Time with a Team of Robots.” 2018. Masters Thesis, Virginia Tech. Accessed May 09, 2021. http://hdl.handle.net/10919/93735.

MLA Handbook (7^{th} Edition):

Suryan, Varun. “Learning a Spatial Field in Minimum Time with a Team of Robots.” 2018. Web. 09 May 2021.

Vancouver:

Suryan V. Learning a Spatial Field in Minimum Time with a Team of Robots. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2021 May 09]. Available from: http://hdl.handle.net/10919/93735.

Council of Science Editors:

Suryan V. Learning a Spatial Field in Minimum Time with a Team of Robots. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/93735

Delft University of Technology

15. Kasprzyk, Szymon (author). Design of a reconfigurable metamaterial with the use of Bayesian optimization and machine learning.

Degree: 2020, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:7c8c1531-33ee-4719-8a53-fd6f90cbc2f7

► Metamaterials are a relatively new group of materials whose behaviour strongly depends on the design of their internal structure. They can be employed in a…
(more)

Subjects/Keywords: Metamaterials; Machine Learning; Gaussian Processes; Bayesian Optimization

Record Details Similar Records

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APA (6^{th} Edition):

Kasprzyk, S. (. (2020). Design of a reconfigurable metamaterial with the use of Bayesian optimization and machine learning. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:7c8c1531-33ee-4719-8a53-fd6f90cbc2f7

Chicago Manual of Style (16^{th} Edition):

Kasprzyk, Szymon (author). “Design of a reconfigurable metamaterial with the use of Bayesian optimization and machine learning.” 2020. Masters Thesis, Delft University of Technology. Accessed May 09, 2021. http://resolver.tudelft.nl/uuid:7c8c1531-33ee-4719-8a53-fd6f90cbc2f7.

MLA Handbook (7^{th} Edition):

Kasprzyk, Szymon (author). “Design of a reconfigurable metamaterial with the use of Bayesian optimization and machine learning.” 2020. Web. 09 May 2021.

Vancouver:

Kasprzyk S(. Design of a reconfigurable metamaterial with the use of Bayesian optimization and machine learning. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 May 09]. Available from: http://resolver.tudelft.nl/uuid:7c8c1531-33ee-4719-8a53-fd6f90cbc2f7.

Council of Science Editors:

Kasprzyk S(. Design of a reconfigurable metamaterial with the use of Bayesian optimization and machine learning. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:7c8c1531-33ee-4719-8a53-fd6f90cbc2f7

16. Zhao, Yibo, 1988-. New models and methods for applied statistics: topics in computer experiments and time series analysis.

Degree: PhD, Statistics and Biostatistics, 2017, Rutgers University

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/55790/

►

In applied statistics, people develop models to solve real world problems based on data. However, the data is growing fast and become more and more… (more)

Subjects/Keywords: Gaussian processes

…Chapter 1
Efficient *Gaussian* Process Modeling Using Experimental
Design-based Subagging
1.1… …Introduction
*Gaussian* process (GP) models, also known as kriging models, are widely used… …Section 7.
1.2
Variable selection in *Gaussian* process models
For a domain of interest Γ in Rd… …we consider a *Gaussian* process {Y (x) : x ∈ Rd } such
that
Y (x… …coefficients and Z(x) is a stationary
*Gaussian* process with mean 0 and covariance function…

Record Details Similar Records

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

APA (6^{th} Edition):

Zhao, Yibo, 1. (2017). New models and methods for applied statistics: topics in computer experiments and time series analysis. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/55790/

Chicago Manual of Style (16^{th} Edition):

Zhao, Yibo, 1988-. “New models and methods for applied statistics: topics in computer experiments and time series analysis.” 2017. Doctoral Dissertation, Rutgers University. Accessed May 09, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/55790/.

MLA Handbook (7^{th} Edition):

Zhao, Yibo, 1988-. “New models and methods for applied statistics: topics in computer experiments and time series analysis.” 2017. Web. 09 May 2021.

Vancouver:

Zhao, Yibo 1. New models and methods for applied statistics: topics in computer experiments and time series analysis. [Internet] [Doctoral dissertation]. Rutgers University; 2017. [cited 2021 May 09]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55790/.

Council of Science Editors:

Zhao, Yibo 1. New models and methods for applied statistics: topics in computer experiments and time series analysis. [Doctoral Dissertation]. Rutgers University; 2017. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/55790/

University of British Columbia

17.
Little, James Joseph.
Recovering shape and determining attitude from extended *gaussian* images.

Degree: PhD, Computer Science, 1985, University of British Columbia

URL: http://hdl.handle.net/2429/25816

► This dissertation is concerned with surface representations which record surface properties as a function of surface orientation. The Extended *Gaussian* Image (EGI) of an object…
(more)

Subjects/Keywords: Gaussian sums; Gaussian processes

Record Details Similar Records

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

APA (6^{th} Edition):

Little, J. J. (1985). Recovering shape and determining attitude from extended gaussian images. (Doctoral Dissertation). University of British Columbia. Retrieved from http://hdl.handle.net/2429/25816

Chicago Manual of Style (16^{th} Edition):

Little, James Joseph. “Recovering shape and determining attitude from extended gaussian images.” 1985. Doctoral Dissertation, University of British Columbia. Accessed May 09, 2021. http://hdl.handle.net/2429/25816.

MLA Handbook (7^{th} Edition):

Little, James Joseph. “Recovering shape and determining attitude from extended gaussian images.” 1985. Web. 09 May 2021.

Vancouver:

Little JJ. Recovering shape and determining attitude from extended gaussian images. [Internet] [Doctoral dissertation]. University of British Columbia; 1985. [cited 2021 May 09]. Available from: http://hdl.handle.net/2429/25816.

Council of Science Editors:

Little JJ. Recovering shape and determining attitude from extended gaussian images. [Doctoral Dissertation]. University of British Columbia; 1985. Available from: http://hdl.handle.net/2429/25816

18. Zertuche, Federico. Utilisation de simulateurs multi-fidélité pour les études d'incertitudes dans les codes de caclul : Assessment of uncertainty in computer experiments when working with multifidelity simulators.

Degree: Docteur es, Mathématiques appliquées, 2015, Université Grenoble Alpes (ComUE)

URL: http://www.theses.fr/2015GREAM069

►

Les simulations par ordinateur sont un outil de grande importance pour les mathématiciens appliqués et les ingénieurs. Elles sont devenues plus précises mais aussi plus… (more)

Subjects/Keywords: Multi-Fidélité; Ondelettes; Gaussian Processes; Régression; Multi-Fidelity; Wavelets; Gaussian Processes; Regression; 510

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

APA (6^{th} Edition):

Zertuche, F. (2015). Utilisation de simulateurs multi-fidélité pour les études d'incertitudes dans les codes de caclul : Assessment of uncertainty in computer experiments when working with multifidelity simulators. (Doctoral Dissertation). Université Grenoble Alpes (ComUE). Retrieved from http://www.theses.fr/2015GREAM069

Chicago Manual of Style (16^{th} Edition):

Zertuche, Federico. “Utilisation de simulateurs multi-fidélité pour les études d'incertitudes dans les codes de caclul : Assessment of uncertainty in computer experiments when working with multifidelity simulators.” 2015. Doctoral Dissertation, Université Grenoble Alpes (ComUE). Accessed May 09, 2021. http://www.theses.fr/2015GREAM069.

MLA Handbook (7^{th} Edition):

Zertuche, Federico. “Utilisation de simulateurs multi-fidélité pour les études d'incertitudes dans les codes de caclul : Assessment of uncertainty in computer experiments when working with multifidelity simulators.” 2015. Web. 09 May 2021.

Vancouver:

Zertuche F. Utilisation de simulateurs multi-fidélité pour les études d'incertitudes dans les codes de caclul : Assessment of uncertainty in computer experiments when working with multifidelity simulators. [Internet] [Doctoral dissertation]. Université Grenoble Alpes (ComUE); 2015. [cited 2021 May 09]. Available from: http://www.theses.fr/2015GREAM069.

Council of Science Editors:

Zertuche F. Utilisation de simulateurs multi-fidélité pour les études d'incertitudes dans les codes de caclul : Assessment of uncertainty in computer experiments when working with multifidelity simulators. [Doctoral Dissertation]. Université Grenoble Alpes (ComUE); 2015. Available from: http://www.theses.fr/2015GREAM069

Ryerson University

19.
Han, Jianan.
Financial time series volatility analysis using *Gaussian* process state-space models.

Degree: 2015, Ryerson University

URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A4462

► In this thesis, we propose a novel nonparametric modeling framework for financial time series data analysis, and we apply the framework to the problem of…
(more)

Subjects/Keywords: Time-series analysis; Gaussian processes; Stochastic processes; Finance – Mathematical models

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

APA (6^{th} Edition):

Han, J. (2015). Financial time series volatility analysis using Gaussian process state-space models. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A4462

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Han, Jianan. “Financial time series volatility analysis using Gaussian process state-space models.” 2015. Thesis, Ryerson University. Accessed May 09, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A4462.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Han, Jianan. “Financial time series volatility analysis using Gaussian process state-space models.” 2015. Web. 09 May 2021.

Vancouver:

Han J. Financial time series volatility analysis using Gaussian process state-space models. [Internet] [Thesis]. Ryerson University; 2015. [cited 2021 May 09]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A4462.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Han J. Financial time series volatility analysis using Gaussian process state-space models. [Thesis]. Ryerson University; 2015. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A4462

Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

20.
Ding, Liang IELM.
Scalable modeling and computation for high dimensional *Gaussian* * processes*.

Degree: 2019, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-102281 ; https://doi.org/10.14711/thesis-991012763467603412 ; http://repository.ust.hk/ir/bitstream/1783.1-102281/1/th_redirect.html

► *Gaussian* Process(GP) is a popular technique for simulation metamodeling due to its flexibility and analytical tractability. Its computational bottleneck is the inversion of a covariance…
(more)

Subjects/Keywords: Gaussian processes ; Markov processes ; Analysis of covariance ; Kriging

Record Details Similar Records

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

APA (6^{th} Edition):

Ding, L. I. (2019). Scalable modeling and computation for high dimensional Gaussian processes. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-102281 ; https://doi.org/10.14711/thesis-991012763467603412 ; http://repository.ust.hk/ir/bitstream/1783.1-102281/1/th_redirect.html

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Ding, Liang IELM. “Scalable modeling and computation for high dimensional Gaussian processes.” 2019. Thesis, Hong Kong University of Science and Technology. Accessed May 09, 2021. http://repository.ust.hk/ir/Record/1783.1-102281 ; https://doi.org/10.14711/thesis-991012763467603412 ; http://repository.ust.hk/ir/bitstream/1783.1-102281/1/th_redirect.html.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ding, Liang IELM. “Scalable modeling and computation for high dimensional Gaussian processes.” 2019. Web. 09 May 2021.

Vancouver:

Ding LI. Scalable modeling and computation for high dimensional Gaussian processes. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2019. [cited 2021 May 09]. Available from: http://repository.ust.hk/ir/Record/1783.1-102281 ; https://doi.org/10.14711/thesis-991012763467603412 ; http://repository.ust.hk/ir/bitstream/1783.1-102281/1/th_redirect.html.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ding LI. Scalable modeling and computation for high dimensional Gaussian processes. [Thesis]. Hong Kong University of Science and Technology; 2019. Available from: http://repository.ust.hk/ir/Record/1783.1-102281 ; https://doi.org/10.14711/thesis-991012763467603412 ; http://repository.ust.hk/ir/bitstream/1783.1-102281/1/th_redirect.html

Not specified: Masters Thesis or Doctoral Dissertation

University College Cork

21. Tobin, Ena. A facilities maintenance management process based on degradation prediction using sensed data.

Degree: 2014, University College Cork

URL: http://hdl.handle.net/10468/2584

► Energy efficiency and user comfort have recently become priorities in the Facility Management (FM) sector. This has resulted in the use of innovative building components,…
(more)

Subjects/Keywords: Maintenance processes; Degradation monitoring; Gaussian processes; Particle filter; HVAC data analysis

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APA (6^{th} Edition):

Tobin, E. (2014). A facilities maintenance management process based on degradation prediction using sensed data. (Thesis). University College Cork. Retrieved from http://hdl.handle.net/10468/2584

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Tobin, Ena. “A facilities maintenance management process based on degradation prediction using sensed data.” 2014. Thesis, University College Cork. Accessed May 09, 2021. http://hdl.handle.net/10468/2584.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Tobin, Ena. “A facilities maintenance management process based on degradation prediction using sensed data.” 2014. Web. 09 May 2021.

Vancouver:

Tobin E. A facilities maintenance management process based on degradation prediction using sensed data. [Internet] [Thesis]. University College Cork; 2014. [cited 2021 May 09]. Available from: http://hdl.handle.net/10468/2584.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tobin E. A facilities maintenance management process based on degradation prediction using sensed data. [Thesis]. University College Cork; 2014. Available from: http://hdl.handle.net/10468/2584

Not specified: Masters Thesis or Doctoral Dissertation

Michigan State University

22.
Taraporevala, Arnavaz P.
Series representation for *processes* with infinite energy and their prediction.

Degree: PhD, Department of Statistics and Probability, 1988, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:20295

Subjects/Keywords: Stochastic processes; Gaussian processes

Record Details Similar Records

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

APA (6^{th} Edition):

Taraporevala, A. P. (1988). Series representation for processes with infinite energy and their prediction. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:20295

Chicago Manual of Style (16^{th} Edition):

Taraporevala, Arnavaz P. “Series representation for processes with infinite energy and their prediction.” 1988. Doctoral Dissertation, Michigan State University. Accessed May 09, 2021. http://etd.lib.msu.edu/islandora/object/etd:20295.

MLA Handbook (7^{th} Edition):

Taraporevala, Arnavaz P. “Series representation for processes with infinite energy and their prediction.” 1988. Web. 09 May 2021.

Vancouver:

Taraporevala AP. Series representation for processes with infinite energy and their prediction. [Internet] [Doctoral dissertation]. Michigan State University; 1988. [cited 2021 May 09]. Available from: http://etd.lib.msu.edu/islandora/object/etd:20295.

Council of Science Editors:

Taraporevala AP. Series representation for processes with infinite energy and their prediction. [Doctoral Dissertation]. Michigan State University; 1988. Available from: http://etd.lib.msu.edu/islandora/object/etd:20295

University of Technology, Sydney

23.
Ghaffari Jadidi, Maani.
*Gaussian**processes* for information-theoretic robotic mapping and exploration.

Degree: 2017, University of Technology, Sydney

URL: http://hdl.handle.net/10453/102700

► This thesis proposes a framework for autonomous robotic mapping, exploration, and planning that uses *Gaussian* *Processes* (GPs) to model high-dimensional dense maps and solve the…
(more)

Subjects/Keywords: Robotics.; Autonomous robotic mapping.; Gaussian processes (GPs); Incremental GP occupancy mapping technique.; Excessive smoothness problem.; Warped Gaussian Processes.

Record Details Similar Records

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

APA (6^{th} Edition):

Ghaffari Jadidi, M. (2017). Gaussian processes for information-theoretic robotic mapping and exploration. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/102700

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Ghaffari Jadidi, Maani. “Gaussian processes for information-theoretic robotic mapping and exploration.” 2017. Thesis, University of Technology, Sydney. Accessed May 09, 2021. http://hdl.handle.net/10453/102700.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Ghaffari Jadidi, Maani. “Gaussian processes for information-theoretic robotic mapping and exploration.” 2017. Web. 09 May 2021.

Vancouver:

Ghaffari Jadidi M. Gaussian processes for information-theoretic robotic mapping and exploration. [Internet] [Thesis]. University of Technology, Sydney; 2017. [cited 2021 May 09]. Available from: http://hdl.handle.net/10453/102700.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ghaffari Jadidi M. Gaussian processes for information-theoretic robotic mapping and exploration. [Thesis]. University of Technology, Sydney; 2017. Available from: http://hdl.handle.net/10453/102700

Not specified: Masters Thesis or Doctoral Dissertation

University of Cambridge

24.
van der Wilk, Mark.
Sparse *Gaussian* process approximations and applications.

Degree: PhD, 2019, University of Cambridge

URL: https://doi.org/10.17863/CAM.35660 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763795

► Many tasks in machine learning require learning some kind of input-output relation (function), for example, recognising handwritten digits (from image to number) or learning the…
(more)

Subjects/Keywords: 006.3; machine learning; gaussian processes; convolutional neural networks; bayes; variational inference; invariance; convolutional gaussian processes; uncertainty; non-parametric

Record Details Similar Records

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

APA (6^{th} Edition):

van der Wilk, M. (2019). Sparse Gaussian process approximations and applications. (Doctoral Dissertation). University of Cambridge. Retrieved from https://doi.org/10.17863/CAM.35660 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763795

Chicago Manual of Style (16^{th} Edition):

van der Wilk, Mark. “Sparse Gaussian process approximations and applications.” 2019. Doctoral Dissertation, University of Cambridge. Accessed May 09, 2021. https://doi.org/10.17863/CAM.35660 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763795.

MLA Handbook (7^{th} Edition):

van der Wilk, Mark. “Sparse Gaussian process approximations and applications.” 2019. Web. 09 May 2021.

Vancouver:

van der Wilk M. Sparse Gaussian process approximations and applications. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2021 May 09]. Available from: https://doi.org/10.17863/CAM.35660 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763795.

Council of Science Editors:

van der Wilk M. Sparse Gaussian process approximations and applications. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://doi.org/10.17863/CAM.35660 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763795

Penn State University

25. Goldstein, Joshua Randall. Compartmental, Spatial, and Point Process Models for Infectious Diseases.

Degree: 2015, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/27346

► My dissertation research focuses on developing a range of methods for modelling infectious diseases. The classes of models I consider include (i) compartmental models, SIR…
(more)

Subjects/Keywords: infectious disease models; SIR models; spatial point processes; Gaussian processes; Markov chain Monte Carlo

Record Details Similar Records

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

APA (6^{th} Edition):

Goldstein, J. R. (2015). Compartmental, Spatial, and Point Process Models for Infectious Diseases. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/27346

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Goldstein, Joshua Randall. “Compartmental, Spatial, and Point Process Models for Infectious Diseases.” 2015. Thesis, Penn State University. Accessed May 09, 2021. https://submit-etda.libraries.psu.edu/catalog/27346.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Goldstein, Joshua Randall. “Compartmental, Spatial, and Point Process Models for Infectious Diseases.” 2015. Web. 09 May 2021.

Vancouver:

Goldstein JR. Compartmental, Spatial, and Point Process Models for Infectious Diseases. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 May 09]. Available from: https://submit-etda.libraries.psu.edu/catalog/27346.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Goldstein JR. Compartmental, Spatial, and Point Process Models for Infectious Diseases. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/27346

Not specified: Masters Thesis or Doctoral Dissertation

University of Washington

26. Palacios Roman, Julia Adela. Bayesian Nonparametric Inference of Effective Population Size Trajectories from Genomic Data.

Degree: PhD, 2013, University of Washington

URL: http://hdl.handle.net/1773/23368

► Phylodynamics is an area at the intersection of phylogenetics and population genetics that aims to reconstruct population size trajectories from genetic data. Phylodynamic methods rely…
(more)

Subjects/Keywords: Coalescent; Data augmentation; Gaussian Processes; Phylodynamics; Point processes; Statistics; Biostatistics; Epidemiology; statistics

Record Details Similar Records

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

APA (6^{th} Edition):

Palacios Roman, J. A. (2013). Bayesian Nonparametric Inference of Effective Population Size Trajectories from Genomic Data. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/23368

Chicago Manual of Style (16^{th} Edition):

Palacios Roman, Julia Adela. “Bayesian Nonparametric Inference of Effective Population Size Trajectories from Genomic Data.” 2013. Doctoral Dissertation, University of Washington. Accessed May 09, 2021. http://hdl.handle.net/1773/23368.

MLA Handbook (7^{th} Edition):

Palacios Roman, Julia Adela. “Bayesian Nonparametric Inference of Effective Population Size Trajectories from Genomic Data.” 2013. Web. 09 May 2021.

Vancouver:

Palacios Roman JA. Bayesian Nonparametric Inference of Effective Population Size Trajectories from Genomic Data. [Internet] [Doctoral dissertation]. University of Washington; 2013. [cited 2021 May 09]. Available from: http://hdl.handle.net/1773/23368.

Council of Science Editors:

Palacios Roman JA. Bayesian Nonparametric Inference of Effective Population Size Trajectories from Genomic Data. [Doctoral Dissertation]. University of Washington; 2013. Available from: http://hdl.handle.net/1773/23368

Michigan State University

27.
Zhang, Sixiang.
Markov properties of measure-indexed *Gaussian* random fields.

Degree: PhD, Department of Statistics and Probability, 1990, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:22749

Subjects/Keywords: Markov processes; Gaussian processes; Random fields

Record Details Similar Records

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

APA (6^{th} Edition):

Zhang, S. (1990). Markov properties of measure-indexed Gaussian random fields. (Doctoral Dissertation). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:22749

Chicago Manual of Style (16^{th} Edition):

Zhang, Sixiang. “Markov properties of measure-indexed Gaussian random fields.” 1990. Doctoral Dissertation, Michigan State University. Accessed May 09, 2021. http://etd.lib.msu.edu/islandora/object/etd:22749.

MLA Handbook (7^{th} Edition):

Zhang, Sixiang. “Markov properties of measure-indexed Gaussian random fields.” 1990. Web. 09 May 2021.

Vancouver:

Zhang S. Markov properties of measure-indexed Gaussian random fields. [Internet] [Doctoral dissertation]. Michigan State University; 1990. [cited 2021 May 09]. Available from: http://etd.lib.msu.edu/islandora/object/etd:22749.

Council of Science Editors:

Zhang S. Markov properties of measure-indexed Gaussian random fields. [Doctoral Dissertation]. Michigan State University; 1990. Available from: http://etd.lib.msu.edu/islandora/object/etd:22749

Michigan State University

28. Jadaliha, Mahdi. Spatio-temporal field prediction under localization uncertainty for mobile sensor networks.

Degree: 2013, Michigan State University

URL: http://etd.lib.msu.edu/islandora/object/etd:2273

►

Thesis Ph. D. Michigan State University. Mechanical Engineering 2013.

Recently, there has been a growing interest in wireless sensor networks due to the advanced embedded… (more)

Subjects/Keywords: Sensor networks; Gaussian processes; Markov processes; Random fields; Engineering; Environmental engineering; Statistics

Record Details Similar Records

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

APA (6^{th} Edition):

Jadaliha, M. (2013). Spatio-temporal field prediction under localization uncertainty for mobile sensor networks. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:2273

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Jadaliha, Mahdi. “Spatio-temporal field prediction under localization uncertainty for mobile sensor networks.” 2013. Thesis, Michigan State University. Accessed May 09, 2021. http://etd.lib.msu.edu/islandora/object/etd:2273.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Jadaliha, Mahdi. “Spatio-temporal field prediction under localization uncertainty for mobile sensor networks.” 2013. Web. 09 May 2021.

Vancouver:

Jadaliha M. Spatio-temporal field prediction under localization uncertainty for mobile sensor networks. [Internet] [Thesis]. Michigan State University; 2013. [cited 2021 May 09]. Available from: http://etd.lib.msu.edu/islandora/object/etd:2273.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jadaliha M. Spatio-temporal field prediction under localization uncertainty for mobile sensor networks. [Thesis]. Michigan State University; 2013. Available from: http://etd.lib.msu.edu/islandora/object/etd:2273

Not specified: Masters Thesis or Doctoral Dissertation

29.
Mannersalo, Petteri.
* Gaussian* and Multifractal

Degree: 2004, VTT Technical Research Centre of Finland

URL: http://lib.tkk.fi/Diss/2003/isbn951386037X/

►

In this thesis, we consider two classes of stochastic models which both capture some of the essential properties of teletraffic. Teletraffic has two time regimes… (more)

Subjects/Keywords: Gaussian processes; multifractals; queueing systems; performance analysis; traffic modeling

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APA (6^{th} Edition):

Mannersalo, P. (2004). Gaussian and Multifractal Processes in Teletraffic Theory. (Thesis). VTT Technical Research Centre of Finland. Retrieved from http://lib.tkk.fi/Diss/2003/isbn951386037X/

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Mannersalo, Petteri. “Gaussian and Multifractal Processes in Teletraffic Theory.” 2004. Thesis, VTT Technical Research Centre of Finland. Accessed May 09, 2021. http://lib.tkk.fi/Diss/2003/isbn951386037X/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Mannersalo, Petteri. “Gaussian and Multifractal Processes in Teletraffic Theory.” 2004. Web. 09 May 2021.

Vancouver:

Mannersalo P. Gaussian and Multifractal Processes in Teletraffic Theory. [Internet] [Thesis]. VTT Technical Research Centre of Finland; 2004. [cited 2021 May 09]. Available from: http://lib.tkk.fi/Diss/2003/isbn951386037X/.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mannersalo P. Gaussian and Multifractal Processes in Teletraffic Theory. [Thesis]. VTT Technical Research Centre of Finland; 2004. Available from: http://lib.tkk.fi/Diss/2003/isbn951386037X/

Not specified: Masters Thesis or Doctoral Dissertation

Ryerson University

30. Rahman, Faizan Ur. Kernel k-MACE: hypercube unsupervised clustering method.

Degree: 2017, Ryerson University

URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A6929

► Transforming data to feature space using a kernel function can result in better expression of its features, resulting in better separability for some datasets. The…
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Subjects/Keywords: Cluster analysis – Data processing.; Kernal functions.; Cluster analysis.; Gaussian processes.

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

APA (6^{th} Edition):

Rahman, F. U. (2017). Kernel k-MACE: hypercube unsupervised clustering method. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A6929

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Rahman, Faizan Ur. “Kernel k-MACE: hypercube unsupervised clustering method.” 2017. Thesis, Ryerson University. Accessed May 09, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A6929.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Rahman, Faizan Ur. “Kernel k-MACE: hypercube unsupervised clustering method.” 2017. Web. 09 May 2021.

Vancouver:

Rahman FU. Kernel k-MACE: hypercube unsupervised clustering method. [Internet] [Thesis]. Ryerson University; 2017. [cited 2021 May 09]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6929.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rahman FU. Kernel k-MACE: hypercube unsupervised clustering method. [Thesis]. Ryerson University; 2017. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A6929

Not specified: Masters Thesis or Doctoral Dissertation