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You searched for subject:(Gaussian processes). Showing records 1 – 30 of 310 total matches.

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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

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

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APA (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

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

Subjects/Keywords: Gaussian processes

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APA (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

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

 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

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APA (6th 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 (16th 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 (7th 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

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

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 [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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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

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APA (6th 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 (16th 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 (7th 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

 One of the most powerful machine learning techniques is \emph{Gaussian Processes} (GPs) which incur an O(N3) complexity in the number of data samples. In regression… (more)

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

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APA (6th Edition):

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

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):

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

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

MLA Handbook (7th 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.

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

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

 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

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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

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APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

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… 

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

APA (6th 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 (16th 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 (7th 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

 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

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

APA (6th 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 (16th 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 (7th 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)

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 (6th 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 (16th 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 (7th 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

 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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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


Hong Kong University of Science and Technology

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

Degree: 2019, Hong Kong University of Science and Technology

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

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

APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

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

APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

Subjects/Keywords: Stochastic processes; Gaussian processes

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

APA (6th 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 (16th 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 (7th 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

 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.

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

APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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

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

APA (6th 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 (16th 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 (7th 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

 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

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

 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

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APA (6th 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 (16th 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 (7th 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

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

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

APA (6th 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 (16th 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 (7th 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

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

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APA (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

29. Mannersalo, Petteri. Gaussian and Multifractal Processes in Teletraffic Theory.

Degree: 2004, VTT Technical Research Centre of Finland

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 (6th 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/

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):

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/.

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

MLA Handbook (7th 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/.

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

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


Ryerson University

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

Degree: 2017, Ryerson University

 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… (more)

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 (6th 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

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):

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.

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

MLA Handbook (7th 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.

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

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

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