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You searched for subject:(Gaussian model). Showing records 1 – 30 of 350 total matches.

[1] [2] [3] [4] [5] … [12]

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Virginia Tech

1. Lin, Jiali. Bayesian Multilevel-multiclass Graphical Model.

Degree: PhD, Statistics, 2019, Virginia Tech

Gaussian graphical model has been a popular tool to investigate conditional dependency between random variables by estimating sparse precision matrices. Two problems have been discussed.… (more)

Subjects/Keywords: Gaussian graphical model

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

APA (6th Edition):

Lin, J. (2019). Bayesian Multilevel-multiclass Graphical Model. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/101092

Chicago Manual of Style (16th Edition):

Lin, Jiali. “Bayesian Multilevel-multiclass Graphical Model.” 2019. Doctoral Dissertation, Virginia Tech. Accessed April 13, 2021. http://hdl.handle.net/10919/101092.

MLA Handbook (7th Edition):

Lin, Jiali. “Bayesian Multilevel-multiclass Graphical Model.” 2019. Web. 13 Apr 2021.

Vancouver:

Lin J. Bayesian Multilevel-multiclass Graphical Model. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/10919/101092.

Council of Science Editors:

Lin J. Bayesian Multilevel-multiclass Graphical Model. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/101092


University of Saskatchewan

2. An, Sen. A Highly Accurate and Robust Retinal Vessel Segmentation Algorithm.

Degree: 2015, University of Saskatchewan

 Retinal vessel segmentation is beneficial for eye surgery and detection of diabetic retinopathy. Mathematical morphology, or top-hat reconstruction can keep desired vessel structures. Gaussian mixture… (more)

Subjects/Keywords: Retinal segmentation; mathematical morphology; Gaussian mixture model

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APA (6th Edition):

An, S. (2015). A Highly Accurate and Robust Retinal Vessel Segmentation Algorithm. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/12617

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):

An, Sen. “A Highly Accurate and Robust Retinal Vessel Segmentation Algorithm.” 2015. Thesis, University of Saskatchewan. Accessed April 13, 2021. http://hdl.handle.net/10388/12617.

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

MLA Handbook (7th Edition):

An, Sen. “A Highly Accurate and Robust Retinal Vessel Segmentation Algorithm.” 2015. Web. 13 Apr 2021.

Vancouver:

An S. A Highly Accurate and Robust Retinal Vessel Segmentation Algorithm. [Internet] [Thesis]. University of Saskatchewan; 2015. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/10388/12617.

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

Council of Science Editors:

An S. A Highly Accurate and Robust Retinal Vessel Segmentation Algorithm. [Thesis]. University of Saskatchewan; 2015. Available from: http://hdl.handle.net/10388/12617

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


Uppsala University

3. Dahlqwist, Elisabeth. Birthweight-specific neonatal health : With application on data from a tertiaryhospital in Tanzania.

Degree: Statistics, 2014, Uppsala University

  The following study analyzes birthweight-specific neonatal health using a combination of a mixture model and logistic regression: the extended Parametric Mixture of Logistic Regression.… (more)

Subjects/Keywords: Birthweight; heaping; neonatal mortality; Gaussian mixture model

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

APA (6th Edition):

Dahlqwist, E. (2014). Birthweight-specific neonatal health : With application on data from a tertiaryhospital in Tanzania. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227531

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):

Dahlqwist, Elisabeth. “Birthweight-specific neonatal health : With application on data from a tertiaryhospital in Tanzania.” 2014. Thesis, Uppsala University. Accessed April 13, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227531.

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

MLA Handbook (7th Edition):

Dahlqwist, Elisabeth. “Birthweight-specific neonatal health : With application on data from a tertiaryhospital in Tanzania.” 2014. Web. 13 Apr 2021.

Vancouver:

Dahlqwist E. Birthweight-specific neonatal health : With application on data from a tertiaryhospital in Tanzania. [Internet] [Thesis]. Uppsala University; 2014. [cited 2021 Apr 13]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227531.

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

Council of Science Editors:

Dahlqwist E. Birthweight-specific neonatal health : With application on data from a tertiaryhospital in Tanzania. [Thesis]. Uppsala University; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227531

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


Delft University of Technology

4. Turan, Taylan (author). Reduced Order Model Base Creation with Bayesian Optimization.

Degree: 2020, Delft University of Technology

 This research considers the offline training stage of the Reduced Order Models (ROM), that has been getting attention recently on the endeavor to come up… (more)

Subjects/Keywords: Bayesian Optimization; Reduced Order Model; Gaussian Process

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

APA (6th Edition):

Turan, T. (. (2020). Reduced Order Model Base Creation with Bayesian Optimization. (Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:972caf56-3621-414b-a582-2561e2a5ff54

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):

Turan, Taylan (author). “Reduced Order Model Base Creation with Bayesian Optimization.” 2020. Thesis, Delft University of Technology. Accessed April 13, 2021. http://resolver.tudelft.nl/uuid:972caf56-3621-414b-a582-2561e2a5ff54.

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

MLA Handbook (7th Edition):

Turan, Taylan (author). “Reduced Order Model Base Creation with Bayesian Optimization.” 2020. Web. 13 Apr 2021.

Vancouver:

Turan T(. Reduced Order Model Base Creation with Bayesian Optimization. [Internet] [Thesis]. Delft University of Technology; 2020. [cited 2021 Apr 13]. Available from: http://resolver.tudelft.nl/uuid:972caf56-3621-414b-a582-2561e2a5ff54.

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

Council of Science Editors:

Turan T(. Reduced Order Model Base Creation with Bayesian Optimization. [Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:972caf56-3621-414b-a582-2561e2a5ff54

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


University of Texas – Austin

5. -0368-0657. Statistical clustering of data.

Degree: MSin Statistics, Statistics, 2015, University of Texas – Austin

 Cluster analysis aims at segmenting objects into groups with similar members and, therefore helps to discover distribution of properties and correlations in large datasets. Data… (more)

Subjects/Keywords: Clustering; Hierarchical; K-means; Gaussian mixture model

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APA (6th Edition):

-0368-0657. (2015). Statistical clustering of data. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32491

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

Chicago Manual of Style (16th Edition):

-0368-0657. “Statistical clustering of data.” 2015. Masters Thesis, University of Texas – Austin. Accessed April 13, 2021. http://hdl.handle.net/2152/32491.

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

MLA Handbook (7th Edition):

-0368-0657. “Statistical clustering of data.” 2015. Web. 13 Apr 2021.

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

Vancouver:

-0368-0657. Statistical clustering of data. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/2152/32491.

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

Council of Science Editors:

-0368-0657. Statistical clustering of data. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32491

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


Delft University of Technology

6. Seuren, Stijn (author). Real-time reference trajectory adaptation for haptic shared control during teleoperation.

Degree: 2018, Delft University of Technology

Haptic Shared Control (HSC) can improve operator performance during teleoperation. HSC uses assistive forces on the master device to guide the operator's control input towards… (more)

Subjects/Keywords: Teleoperation; Haptic Shared Control; Reference adaption; Task Parameterized Gaussian Mixture Model; Incremental Gaussian Mixture Model

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

APA (6th Edition):

Seuren, S. (. (2018). Real-time reference trajectory adaptation for haptic shared control during teleoperation. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:8f6aa3d6-d4ea-4eab-b3cd-e678ba250646

Chicago Manual of Style (16th Edition):

Seuren, Stijn (author). “Real-time reference trajectory adaptation for haptic shared control during teleoperation.” 2018. Masters Thesis, Delft University of Technology. Accessed April 13, 2021. http://resolver.tudelft.nl/uuid:8f6aa3d6-d4ea-4eab-b3cd-e678ba250646.

MLA Handbook (7th Edition):

Seuren, Stijn (author). “Real-time reference trajectory adaptation for haptic shared control during teleoperation.” 2018. Web. 13 Apr 2021.

Vancouver:

Seuren S(. Real-time reference trajectory adaptation for haptic shared control during teleoperation. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Apr 13]. Available from: http://resolver.tudelft.nl/uuid:8f6aa3d6-d4ea-4eab-b3cd-e678ba250646.

Council of Science Editors:

Seuren S(. Real-time reference trajectory adaptation for haptic shared control during teleoperation. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:8f6aa3d6-d4ea-4eab-b3cd-e678ba250646


Penn State University

7. Chang, Won. Climate Model Calibration Using High-Dimensional and Non-Gaussian Spatial Data.

Degree: 2014, Penn State University

 This thesis focuses on statistical methods to calibrate complex computer models using high-dimensional spatial data sets. This work is motivated by important research problems in… (more)

Subjects/Keywords: Climate Model Calibration; Gaussian Process; High-dimensional Spatial Data; Non-Gaussian Spatial Data

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

APA (6th Edition):

Chang, W. (2014). Climate Model Calibration Using High-Dimensional and Non-Gaussian Spatial Data. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/22487

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):

Chang, Won. “Climate Model Calibration Using High-Dimensional and Non-Gaussian Spatial Data.” 2014. Thesis, Penn State University. Accessed April 13, 2021. https://submit-etda.libraries.psu.edu/catalog/22487.

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

MLA Handbook (7th Edition):

Chang, Won. “Climate Model Calibration Using High-Dimensional and Non-Gaussian Spatial Data.” 2014. Web. 13 Apr 2021.

Vancouver:

Chang W. Climate Model Calibration Using High-Dimensional and Non-Gaussian Spatial Data. [Internet] [Thesis]. Penn State University; 2014. [cited 2021 Apr 13]. Available from: https://submit-etda.libraries.psu.edu/catalog/22487.

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

Council of Science Editors:

Chang W. Climate Model Calibration Using High-Dimensional and Non-Gaussian Spatial Data. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/22487

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


University of Melbourne

8. Li, Yan. A probabilistic approach for Wi-Fi based indoor localization.

Degree: 2019, University of Melbourne

 The Global Navigation Satellite System (GNSS) has been widely used to provide location information in outdoor environments, but it fails to provide reliable positioning indoors.… (more)

Subjects/Keywords: WiFi localization; Hidden Markov Model; Probabilistic fingerprinting; Gaussian mixture model

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

APA (6th Edition):

Li, Y. (2019). A probabilistic approach for Wi-Fi based indoor localization. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/234278

Chicago Manual of Style (16th Edition):

Li, Yan. “A probabilistic approach for Wi-Fi based indoor localization.” 2019. Doctoral Dissertation, University of Melbourne. Accessed April 13, 2021. http://hdl.handle.net/11343/234278.

MLA Handbook (7th Edition):

Li, Yan. “A probabilistic approach for Wi-Fi based indoor localization.” 2019. Web. 13 Apr 2021.

Vancouver:

Li Y. A probabilistic approach for Wi-Fi based indoor localization. [Internet] [Doctoral dissertation]. University of Melbourne; 2019. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/11343/234278.

Council of Science Editors:

Li Y. A probabilistic approach for Wi-Fi based indoor localization. [Doctoral Dissertation]. University of Melbourne; 2019. Available from: http://hdl.handle.net/11343/234278


Georgia Tech

9. Rajaram, Dushhyanth. Methods for Construction of Surrogates For Computationally Expensive High-Dimensional Problems.

Degree: PhD, Aerospace Engineering, 2020, Georgia Tech

 Maturation of computational models has increased reliance on numerical simulations for the analysis, and more importantly, design of complex engineered systems. The high accuracy and… (more)

Subjects/Keywords: Reduced Order Model; Surrogate Model; Gaussian Process; High-Dimensional; Machine Learning

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

APA (6th Edition):

Rajaram, D. (2020). Methods for Construction of Surrogates For Computationally Expensive High-Dimensional Problems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/64154

Chicago Manual of Style (16th Edition):

Rajaram, Dushhyanth. “Methods for Construction of Surrogates For Computationally Expensive High-Dimensional Problems.” 2020. Doctoral Dissertation, Georgia Tech. Accessed April 13, 2021. http://hdl.handle.net/1853/64154.

MLA Handbook (7th Edition):

Rajaram, Dushhyanth. “Methods for Construction of Surrogates For Computationally Expensive High-Dimensional Problems.” 2020. Web. 13 Apr 2021.

Vancouver:

Rajaram D. Methods for Construction of Surrogates For Computationally Expensive High-Dimensional Problems. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1853/64154.

Council of Science Editors:

Rajaram D. Methods for Construction of Surrogates For Computationally Expensive High-Dimensional Problems. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/64154


Penn State University

10. Guan, Yawen. Reduced-dimensional Non-Gaussian Spatial Models and Statistical Methods for Studying the West Antarctic Ice Sheet.

Degree: 2017, Penn State University

 My dissertation research focuses on developing efficient statistical methods for high-dimensional non-Gaussian spatial data, and hierarchical models for the West Antarctic Ice Sheet (WAIS). My… (more)

Subjects/Keywords: Spatial Model; Non-Gaussian Spatial Data; Markov chain Monte Carlo Expectation Maximization; West Antarctic Ice Sheet; Glacier Dynamics; Bayesian Hierarchical Model; Gaussian Process; Latent Gaussian Process Model

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

APA (6th Edition):

Guan, Y. (2017). Reduced-dimensional Non-Gaussian Spatial Models and Statistical Methods for Studying the West Antarctic Ice Sheet. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14397yig5031

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):

Guan, Yawen. “Reduced-dimensional Non-Gaussian Spatial Models and Statistical Methods for Studying the West Antarctic Ice Sheet.” 2017. Thesis, Penn State University. Accessed April 13, 2021. https://submit-etda.libraries.psu.edu/catalog/14397yig5031.

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

MLA Handbook (7th Edition):

Guan, Yawen. “Reduced-dimensional Non-Gaussian Spatial Models and Statistical Methods for Studying the West Antarctic Ice Sheet.” 2017. Web. 13 Apr 2021.

Vancouver:

Guan Y. Reduced-dimensional Non-Gaussian Spatial Models and Statistical Methods for Studying the West Antarctic Ice Sheet. [Internet] [Thesis]. Penn State University; 2017. [cited 2021 Apr 13]. Available from: https://submit-etda.libraries.psu.edu/catalog/14397yig5031.

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

Council of Science Editors:

Guan Y. Reduced-dimensional Non-Gaussian Spatial Models and Statistical Methods for Studying the West Antarctic Ice Sheet. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14397yig5031

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


NSYSU

11. Lin, Min-Rui. Analysis the regional impacts due to emission from the VOCs and odor pollutions in the semiconductor packaging processes using the ISCST3 model.

Degree: Master, Environmental Engineering, 2016, NSYSU

 Isopropyl alcohol (IPA), ketones, and other volatile organic compounds (VOCs) are often used during wafer processing, packaging, test, and cleaning processes in the semiconductor industry.… (more)

Subjects/Keywords: Gaussian diffusion model simulation; Malodorous pollutants; isopropyl alcohol; dimethyl sulfide; trimethylamine

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

APA (6th Edition):

Lin, M. (2016). Analysis the regional impacts due to emission from the VOCs and odor pollutions in the semiconductor packaging processes using the ISCST3 model. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0612116-105823

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):

Lin, Min-Rui. “Analysis the regional impacts due to emission from the VOCs and odor pollutions in the semiconductor packaging processes using the ISCST3 model.” 2016. Thesis, NSYSU. Accessed April 13, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0612116-105823.

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

MLA Handbook (7th Edition):

Lin, Min-Rui. “Analysis the regional impacts due to emission from the VOCs and odor pollutions in the semiconductor packaging processes using the ISCST3 model.” 2016. Web. 13 Apr 2021.

Vancouver:

Lin M. Analysis the regional impacts due to emission from the VOCs and odor pollutions in the semiconductor packaging processes using the ISCST3 model. [Internet] [Thesis]. NSYSU; 2016. [cited 2021 Apr 13]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0612116-105823.

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

Council of Science Editors:

Lin M. Analysis the regional impacts due to emission from the VOCs and odor pollutions in the semiconductor packaging processes using the ISCST3 model. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0612116-105823

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


Penn State University

12. Atiyat, Muhammad. A COMPARISON OF FREQUENTIST AND BAYESIAN APPROACHES FOR LINEAR GAUSSIAN PROCESS MODELS .

Degree: 2008, Penn State University

 Spatial data (data that are geographically referenced) are commonly encountered in varied fields such as ecology, epidemiology, public health, and geoscience. We consider practical issues… (more)

Subjects/Keywords: gaussian process model; spatial models

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

APA (6th Edition):

Atiyat, M. (2008). A COMPARISON OF FREQUENTIST AND BAYESIAN APPROACHES FOR LINEAR GAUSSIAN PROCESS MODELS . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/8376

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):

Atiyat, Muhammad. “A COMPARISON OF FREQUENTIST AND BAYESIAN APPROACHES FOR LINEAR GAUSSIAN PROCESS MODELS .” 2008. Thesis, Penn State University. Accessed April 13, 2021. https://submit-etda.libraries.psu.edu/catalog/8376.

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

MLA Handbook (7th Edition):

Atiyat, Muhammad. “A COMPARISON OF FREQUENTIST AND BAYESIAN APPROACHES FOR LINEAR GAUSSIAN PROCESS MODELS .” 2008. Web. 13 Apr 2021.

Vancouver:

Atiyat M. A COMPARISON OF FREQUENTIST AND BAYESIAN APPROACHES FOR LINEAR GAUSSIAN PROCESS MODELS . [Internet] [Thesis]. Penn State University; 2008. [cited 2021 Apr 13]. Available from: https://submit-etda.libraries.psu.edu/catalog/8376.

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

Council of Science Editors:

Atiyat M. A COMPARISON OF FREQUENTIST AND BAYESIAN APPROACHES FOR LINEAR GAUSSIAN PROCESS MODELS . [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/8376

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


Penn State University

13. Qiao, Mu. Visual Analytics Through Gaussian Mixture Models with Subspace Constrained Component Means.

Degree: 2017, Penn State University

 We develop a new method for high dimensional data visualization via the Gaussian mixture model (GMM) with the component means constrained in a pre-selected subspace.… (more)

Subjects/Keywords: visualization; high dimensionality; dimension reduction; subspace; Gaussian mixture model

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

APA (6th Edition):

Qiao, M. (2017). Visual Analytics Through Gaussian Mixture Models with Subspace Constrained Component Means. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14721muq103

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):

Qiao, Mu. “Visual Analytics Through Gaussian Mixture Models with Subspace Constrained Component Means.” 2017. Thesis, Penn State University. Accessed April 13, 2021. https://submit-etda.libraries.psu.edu/catalog/14721muq103.

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

MLA Handbook (7th Edition):

Qiao, Mu. “Visual Analytics Through Gaussian Mixture Models with Subspace Constrained Component Means.” 2017. Web. 13 Apr 2021.

Vancouver:

Qiao M. Visual Analytics Through Gaussian Mixture Models with Subspace Constrained Component Means. [Internet] [Thesis]. Penn State University; 2017. [cited 2021 Apr 13]. Available from: https://submit-etda.libraries.psu.edu/catalog/14721muq103.

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

Council of Science Editors:

Qiao M. Visual Analytics Through Gaussian Mixture Models with Subspace Constrained Component Means. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14721muq103

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


Penn State University

14. Jandarov, Roman A. Inference with implicit likelihoods for infectious disease models.

Degree: 2012, Penn State University

 Probabilistic models for infectious diseases are important for understanding mechanisms underlying the spread of infection. I develop new models and computational approaches motivated by several… (more)

Subjects/Keywords: Expensive likelihood; SIR model; Gaussian processes; emulation; infectious diseases; meningitis; measles.

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APA (6th Edition):

Jandarov, R. A. (2012). Inference with implicit likelihoods for infectious disease models. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15261

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):

Jandarov, Roman A. “Inference with implicit likelihoods for infectious disease models.” 2012. Thesis, Penn State University. Accessed April 13, 2021. https://submit-etda.libraries.psu.edu/catalog/15261.

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

MLA Handbook (7th Edition):

Jandarov, Roman A. “Inference with implicit likelihoods for infectious disease models.” 2012. Web. 13 Apr 2021.

Vancouver:

Jandarov RA. Inference with implicit likelihoods for infectious disease models. [Internet] [Thesis]. Penn State University; 2012. [cited 2021 Apr 13]. Available from: https://submit-etda.libraries.psu.edu/catalog/15261.

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

Council of Science Editors:

Jandarov RA. Inference with implicit likelihoods for infectious disease models. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15261

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

15. Letierce, François. Approche calculatoire pour la déconvolution en aveugle : application à l'imagerie SIMS : A computational approach for blind deconvolution : application to SIMS images.

Degree: Docteur es, Informatique, 2007, Evry-Val d'Essonne

La Spectroscopie de Masse d'Ions Secondaires (SIMS) permet d'obtenir des images de distributions d'atomes à la surface d'un échantillon. La réponse impulsionnelle (RI) de l'instrument… (more)

Subjects/Keywords: Modèle gaussien; Gaussian model

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

APA (6th Edition):

Letierce, F. (2007). Approche calculatoire pour la déconvolution en aveugle : application à l'imagerie SIMS : A computational approach for blind deconvolution : application to SIMS images. (Doctoral Dissertation). Evry-Val d'Essonne. Retrieved from http://www.theses.fr/2007EVRY0038

Chicago Manual of Style (16th Edition):

Letierce, François. “Approche calculatoire pour la déconvolution en aveugle : application à l'imagerie SIMS : A computational approach for blind deconvolution : application to SIMS images.” 2007. Doctoral Dissertation, Evry-Val d'Essonne. Accessed April 13, 2021. http://www.theses.fr/2007EVRY0038.

MLA Handbook (7th Edition):

Letierce, François. “Approche calculatoire pour la déconvolution en aveugle : application à l'imagerie SIMS : A computational approach for blind deconvolution : application to SIMS images.” 2007. Web. 13 Apr 2021.

Vancouver:

Letierce F. Approche calculatoire pour la déconvolution en aveugle : application à l'imagerie SIMS : A computational approach for blind deconvolution : application to SIMS images. [Internet] [Doctoral dissertation]. Evry-Val d'Essonne; 2007. [cited 2021 Apr 13]. Available from: http://www.theses.fr/2007EVRY0038.

Council of Science Editors:

Letierce F. Approche calculatoire pour la déconvolution en aveugle : application à l'imagerie SIMS : A computational approach for blind deconvolution : application to SIMS images. [Doctoral Dissertation]. Evry-Val d'Essonne; 2007. Available from: http://www.theses.fr/2007EVRY0038

16. Pacini, Clare. Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii.

Degree: PhD, 2017, University of Cambridge

 Modelling interactions between genes and their regulators is fundamental to understanding how, for example a disease progresses, or the impact of inserting a synthetic circuit… (more)

Subjects/Keywords: Gaussian graphical model; Regulatory network; Small sample sizes

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

APA (6th Edition):

Pacini, C. (2017). Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/269711

Chicago Manual of Style (16th Edition):

Pacini, Clare. “Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii.” 2017. Doctoral Dissertation, University of Cambridge. Accessed April 13, 2021. https://www.repository.cam.ac.uk/handle/1810/269711.

MLA Handbook (7th Edition):

Pacini, Clare. “Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii.” 2017. Web. 13 Apr 2021.

Vancouver:

Pacini C. Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii. [Internet] [Doctoral dissertation]. University of Cambridge; 2017. [cited 2021 Apr 13]. Available from: https://www.repository.cam.ac.uk/handle/1810/269711.

Council of Science Editors:

Pacini C. Inferring condition specific regulatory networks with small sample sizes: a case study in bacillus subtilis and infection of mus musculus by the parasite Toxoplasma gondii. [Doctoral Dissertation]. University of Cambridge; 2017. Available from: https://www.repository.cam.ac.uk/handle/1810/269711

17. Duvenaud, David. Automatic model construction with Gaussian processes.

Degree: PhD, 2014, University of Cambridge

 This thesis develops a method for automatically constructing, visualizing and describing a large class of models, useful for forecasting and finding structure in domains such… (more)

Subjects/Keywords: Machine learning; Statistics; Forecasting; Model building; Gaussian processes; Time series

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APA (6th Edition):

Duvenaud, D. (2014). Automatic model construction with Gaussian processes. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/247281https://www.repository.cam.ac.uk/bitstream/1810/247281/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/247281/3/license_rdf ; https://www.repository.cam.ac.uk/bitstream/1810/247281/4/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/247281/5/thesis.pdf.jpg

Chicago Manual of Style (16th Edition):

Duvenaud, David. “Automatic model construction with Gaussian processes.” 2014. Doctoral Dissertation, University of Cambridge. Accessed April 13, 2021. https://www.repository.cam.ac.uk/handle/1810/247281https://www.repository.cam.ac.uk/bitstream/1810/247281/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/247281/3/license_rdf ; https://www.repository.cam.ac.uk/bitstream/1810/247281/4/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/247281/5/thesis.pdf.jpg.

MLA Handbook (7th Edition):

Duvenaud, David. “Automatic model construction with Gaussian processes.” 2014. Web. 13 Apr 2021.

Vancouver:

Duvenaud D. Automatic model construction with Gaussian processes. [Internet] [Doctoral dissertation]. University of Cambridge; 2014. [cited 2021 Apr 13]. Available from: https://www.repository.cam.ac.uk/handle/1810/247281https://www.repository.cam.ac.uk/bitstream/1810/247281/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/247281/3/license_rdf ; https://www.repository.cam.ac.uk/bitstream/1810/247281/4/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/247281/5/thesis.pdf.jpg.

Council of Science Editors:

Duvenaud D. Automatic model construction with Gaussian processes. [Doctoral Dissertation]. University of Cambridge; 2014. Available from: https://www.repository.cam.ac.uk/handle/1810/247281https://www.repository.cam.ac.uk/bitstream/1810/247281/2/license.txt ; https://www.repository.cam.ac.uk/bitstream/1810/247281/3/license_rdf ; https://www.repository.cam.ac.uk/bitstream/1810/247281/4/thesis.pdf.txt ; https://www.repository.cam.ac.uk/bitstream/1810/247281/5/thesis.pdf.jpg


University of the Western Cape

18. Bere, Alphonce. Some non-standard statistical dependence problems .

Degree: 2016, University of the Western Cape

 The major result of this thesis is the development of a framework for the application of pair-mixtures of copulas to model asymmetric dependencies in bivariate… (more)

Subjects/Keywords: Gamma-ray bursts; Konus; Copulas (Mathematical statistics); Gaussian mixture model

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

APA (6th Edition):

Bere, A. (2016). Some non-standard statistical dependence problems . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/4868

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):

Bere, Alphonce. “Some non-standard statistical dependence problems .” 2016. Thesis, University of the Western Cape. Accessed April 13, 2021. http://hdl.handle.net/11394/4868.

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

MLA Handbook (7th Edition):

Bere, Alphonce. “Some non-standard statistical dependence problems .” 2016. Web. 13 Apr 2021.

Vancouver:

Bere A. Some non-standard statistical dependence problems . [Internet] [Thesis]. University of the Western Cape; 2016. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/11394/4868.

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

Council of Science Editors:

Bere A. Some non-standard statistical dependence problems . [Thesis]. University of the Western Cape; 2016. Available from: http://hdl.handle.net/11394/4868

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


Virginia Tech

19. Prussin II, Aaron Justin. Monitoring and Predicting the Long Distance Transport of Fusarium graminearum, Causal Agent of Fusarium Head Blight in Wheat and Barley.

Degree: PhD, Plant Pathology, Physiology, and Weed Science, 2013, Virginia Tech

 Fusarium head blight (FHB), caused by Fusarium graminearum, is a serious disease of wheat and barley that has caused several billion dollars in crop losses… (more)

Subjects/Keywords: Atmospheric transport Fusarium graminearum; Fusarium head blight; Gaussian plume model; Microsatellite

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APA (6th Edition):

Prussin II, A. J. (2013). Monitoring and Predicting the Long Distance Transport of Fusarium graminearum, Causal Agent of Fusarium Head Blight in Wheat and Barley. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/22044

Chicago Manual of Style (16th Edition):

Prussin II, Aaron Justin. “Monitoring and Predicting the Long Distance Transport of Fusarium graminearum, Causal Agent of Fusarium Head Blight in Wheat and Barley.” 2013. Doctoral Dissertation, Virginia Tech. Accessed April 13, 2021. http://hdl.handle.net/10919/22044.

MLA Handbook (7th Edition):

Prussin II, Aaron Justin. “Monitoring and Predicting the Long Distance Transport of Fusarium graminearum, Causal Agent of Fusarium Head Blight in Wheat and Barley.” 2013. Web. 13 Apr 2021.

Vancouver:

Prussin II AJ. Monitoring and Predicting the Long Distance Transport of Fusarium graminearum, Causal Agent of Fusarium Head Blight in Wheat and Barley. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/10919/22044.

Council of Science Editors:

Prussin II AJ. Monitoring and Predicting the Long Distance Transport of Fusarium graminearum, Causal Agent of Fusarium Head Blight in Wheat and Barley. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/22044


University of Missouri – Columbia

20. Sun, Xie. Integrate template matching and statistical modeling for continuous speech recognition.

Degree: 2011, University of Missouri – Columbia

 In this dissertation, a novel approach of integrating template matching with statistical modeling is proposed to improve continuous speech recognition. Commonly used Hidden Markov Models… (more)

Subjects/Keywords: speech recognition; template matching; lattice rescoring; Gaussian mixture model

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APA (6th Edition):

Sun, X. (2011). Integrate template matching and statistical modeling for continuous speech recognition. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/14455

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):

Sun, Xie. “Integrate template matching and statistical modeling for continuous speech recognition.” 2011. Thesis, University of Missouri – Columbia. Accessed April 13, 2021. http://hdl.handle.net/10355/14455.

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

MLA Handbook (7th Edition):

Sun, Xie. “Integrate template matching and statistical modeling for continuous speech recognition.” 2011. Web. 13 Apr 2021.

Vancouver:

Sun X. Integrate template matching and statistical modeling for continuous speech recognition. [Internet] [Thesis]. University of Missouri – Columbia; 2011. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/10355/14455.

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

Council of Science Editors:

Sun X. Integrate template matching and statistical modeling for continuous speech recognition. [Thesis]. University of Missouri – Columbia; 2011. Available from: http://hdl.handle.net/10355/14455

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


Colorado State University

21. Wang, Lulu. Some topics on model-based clustering.

Degree: PhD, Statistics, 2016, Colorado State University

 Cluster analysis is widely applied in various areas. Model-based clustering, which assumes a mixture model, is one of the most useful approaches in clustering. Using… (more)

Subjects/Keywords: model-based clustering; semiparametric; non-Gaussian; high-dimensional

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APA (6th Edition):

Wang, L. (2016). Some topics on model-based clustering. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/178931

Chicago Manual of Style (16th Edition):

Wang, Lulu. “Some topics on model-based clustering.” 2016. Doctoral Dissertation, Colorado State University. Accessed April 13, 2021. http://hdl.handle.net/10217/178931.

MLA Handbook (7th Edition):

Wang, Lulu. “Some topics on model-based clustering.” 2016. Web. 13 Apr 2021.

Vancouver:

Wang L. Some topics on model-based clustering. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/10217/178931.

Council of Science Editors:

Wang L. Some topics on model-based clustering. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/178931


Clemson University

22. Chakravorty, Arghya. Modeling Electrostatics and Geometrical Quantities in Molecular Biophysics Using a Gaussian-Based Model of Atoms.

Degree: PhD, Physics and Astronomy, 2019, Clemson University

  Electrostatic and geometric factors are critical to modeling the interactions and solvation effects of biomolecules in the aqueous environments of biological cells as they… (more)

Subjects/Keywords: Delphi; electrostatics; Gaussian model; geometrical quantities; molecular biophysics; Poisson-Boltzmann

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APA (6th Edition):

Chakravorty, A. (2019). Modeling Electrostatics and Geometrical Quantities in Molecular Biophysics Using a Gaussian-Based Model of Atoms. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2424

Chicago Manual of Style (16th Edition):

Chakravorty, Arghya. “Modeling Electrostatics and Geometrical Quantities in Molecular Biophysics Using a Gaussian-Based Model of Atoms.” 2019. Doctoral Dissertation, Clemson University. Accessed April 13, 2021. https://tigerprints.clemson.edu/all_dissertations/2424.

MLA Handbook (7th Edition):

Chakravorty, Arghya. “Modeling Electrostatics and Geometrical Quantities in Molecular Biophysics Using a Gaussian-Based Model of Atoms.” 2019. Web. 13 Apr 2021.

Vancouver:

Chakravorty A. Modeling Electrostatics and Geometrical Quantities in Molecular Biophysics Using a Gaussian-Based Model of Atoms. [Internet] [Doctoral dissertation]. Clemson University; 2019. [cited 2021 Apr 13]. Available from: https://tigerprints.clemson.edu/all_dissertations/2424.

Council of Science Editors:

Chakravorty A. Modeling Electrostatics and Geometrical Quantities in Molecular Biophysics Using a Gaussian-Based Model of Atoms. [Doctoral Dissertation]. Clemson University; 2019. Available from: https://tigerprints.clemson.edu/all_dissertations/2424


University of Edinburgh

23. Pu, Can. 3D data fusion by depth refinement and pose recovery.

Degree: PhD, 2019, University of Edinburgh

 Refining depth maps from different sources to obtain a refined depth map, and aligning the rigid point clouds from different views, are two core techniques.… (more)

Subjects/Keywords: depth fusion; adversarial network; rigid point cloud registration; Gaussian mixture model

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

APA (6th Edition):

Pu, C. (2019). 3D data fusion by depth refinement and pose recovery. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/36575

Chicago Manual of Style (16th Edition):

Pu, Can. “3D data fusion by depth refinement and pose recovery.” 2019. Doctoral Dissertation, University of Edinburgh. Accessed April 13, 2021. http://hdl.handle.net/1842/36575.

MLA Handbook (7th Edition):

Pu, Can. “3D data fusion by depth refinement and pose recovery.” 2019. Web. 13 Apr 2021.

Vancouver:

Pu C. 3D data fusion by depth refinement and pose recovery. [Internet] [Doctoral dissertation]. University of Edinburgh; 2019. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1842/36575.

Council of Science Editors:

Pu C. 3D data fusion by depth refinement and pose recovery. [Doctoral Dissertation]. University of Edinburgh; 2019. Available from: http://hdl.handle.net/1842/36575


Virginia Tech

24. Fadikar, Arindam. Stochastic Computer Model Calibration and Uncertainty Quantification.

Degree: PhD, Statistics, 2019, Virginia Tech

 Mathematical models are versatile and often provide accurate description of physical events. Scientific models are used to study such events in order to gain understanding… (more)

Subjects/Keywords: Computer model; gaussian process; sensitivity analysis; epidemiology; bayesian estimation; mcmc

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

APA (6th Edition):

Fadikar, A. (2019). Stochastic Computer Model Calibration and Uncertainty Quantification. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/91985

Chicago Manual of Style (16th Edition):

Fadikar, Arindam. “Stochastic Computer Model Calibration and Uncertainty Quantification.” 2019. Doctoral Dissertation, Virginia Tech. Accessed April 13, 2021. http://hdl.handle.net/10919/91985.

MLA Handbook (7th Edition):

Fadikar, Arindam. “Stochastic Computer Model Calibration and Uncertainty Quantification.” 2019. Web. 13 Apr 2021.

Vancouver:

Fadikar A. Stochastic Computer Model Calibration and Uncertainty Quantification. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/10919/91985.

Council of Science Editors:

Fadikar A. Stochastic Computer Model Calibration and Uncertainty Quantification. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/91985


University of Cambridge

25. Pacini, Clare. Inferring condition specific regulatory networks with small sample sizes : a case study in Bacillus subtilis and infection of Mus musculus by the parasite Toxoplasma gondii.

Degree: PhD, 2017, University of Cambridge

 Modelling interactions between genes and their regulators is fundamental to understanding how, for example a disease progresses, or the impact of inserting a synthetic circuit… (more)

Subjects/Keywords: 572.8; Gaussian graphical model; Regulatory network; Small sample sizes

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APA (6th Edition):

Pacini, C. (2017). Inferring condition specific regulatory networks with small sample sizes : a case study in Bacillus subtilis and infection of Mus musculus by the parasite Toxoplasma gondii. (Doctoral Dissertation). University of Cambridge. Retrieved from https://doi.org/10.17863/CAM.16660 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744325

Chicago Manual of Style (16th Edition):

Pacini, Clare. “Inferring condition specific regulatory networks with small sample sizes : a case study in Bacillus subtilis and infection of Mus musculus by the parasite Toxoplasma gondii.” 2017. Doctoral Dissertation, University of Cambridge. Accessed April 13, 2021. https://doi.org/10.17863/CAM.16660 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744325.

MLA Handbook (7th Edition):

Pacini, Clare. “Inferring condition specific regulatory networks with small sample sizes : a case study in Bacillus subtilis and infection of Mus musculus by the parasite Toxoplasma gondii.” 2017. Web. 13 Apr 2021.

Vancouver:

Pacini C. Inferring condition specific regulatory networks with small sample sizes : a case study in Bacillus subtilis and infection of Mus musculus by the parasite Toxoplasma gondii. [Internet] [Doctoral dissertation]. University of Cambridge; 2017. [cited 2021 Apr 13]. Available from: https://doi.org/10.17863/CAM.16660 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744325.

Council of Science Editors:

Pacini C. Inferring condition specific regulatory networks with small sample sizes : a case study in Bacillus subtilis and infection of Mus musculus by the parasite Toxoplasma gondii. [Doctoral Dissertation]. University of Cambridge; 2017. Available from: https://doi.org/10.17863/CAM.16660 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.744325


King Abdullah University of Science and Technology

26. Yan, Yuan. Spatio-Temporal Data Analysis by Transformed Gaussian Processes.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2018, King Abdullah University of Science and Technology

 In the analysis of spatio-temporal data, statistical inference based on the Gaussian assumption is ubiquitous due to its many attractive properties. However, data collected from… (more)

Subjects/Keywords: non-gaussian; spatiotemporal model; data transformation; wind data

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APA (6th Edition):

Yan, Y. (2018). Spatio-Temporal Data Analysis by Transformed Gaussian Processes. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/630227

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

Chicago Manual of Style (16th Edition):

Yan, Yuan. “Spatio-Temporal Data Analysis by Transformed Gaussian Processes.” 2018. Thesis, King Abdullah University of Science and Technology. Accessed April 13, 2021. http://hdl.handle.net/10754/630227.

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

MLA Handbook (7th Edition):

Yan, Yuan. “Spatio-Temporal Data Analysis by Transformed Gaussian Processes.” 2018. Web. 13 Apr 2021.

Vancouver:

Yan Y. Spatio-Temporal Data Analysis by Transformed Gaussian Processes. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2018. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/10754/630227.

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

Council of Science Editors:

Yan Y. Spatio-Temporal Data Analysis by Transformed Gaussian Processes. [Thesis]. King Abdullah University of Science and Technology; 2018. Available from: http://hdl.handle.net/10754/630227

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


Cornell University

27. Qian, Wei. Local Minima in Mixture Problems and their Algorithmic Implications.

Degree: PhD, Operations Research and Information Engineering, 2020, Cornell University

 We study the location estimation problem for a balanced mixture of k distributions. The geometry of this non-convex optimization problem differs according to the number… (more)

Subjects/Keywords: Expectation Maximization; Gaussian Mixture Model; K-means; Non Convex Optimization

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APA (6th Edition):

Qian, W. (2020). Local Minima in Mixture Problems and their Algorithmic Implications. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/102985

Chicago Manual of Style (16th Edition):

Qian, Wei. “Local Minima in Mixture Problems and their Algorithmic Implications.” 2020. Doctoral Dissertation, Cornell University. Accessed April 13, 2021. http://hdl.handle.net/1813/102985.

MLA Handbook (7th Edition):

Qian, Wei. “Local Minima in Mixture Problems and their Algorithmic Implications.” 2020. Web. 13 Apr 2021.

Vancouver:

Qian W. Local Minima in Mixture Problems and their Algorithmic Implications. [Internet] [Doctoral dissertation]. Cornell University; 2020. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1813/102985.

Council of Science Editors:

Qian W. Local Minima in Mixture Problems and their Algorithmic Implications. [Doctoral Dissertation]. Cornell University; 2020. Available from: http://hdl.handle.net/1813/102985


Vanderbilt University

28. Abdelaziz, Hamzah Ahmed. A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes.

Degree: PhD, Electrical Engineering, 2018, Vanderbilt University

 The growing advances in information technologies have led to a new generation of systems known as cyber-physical systems (CPS). CPS are multi-discipline engineering systems, which… (more)

Subjects/Keywords: Gaussian Processes; Stochastic Hybrid Systems; Reachability Analysis; Cyber Physical Systems; Model Predictive Control; Model Learning

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

APA (6th Edition):

Abdelaziz, H. A. (2018). A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/10418

Chicago Manual of Style (16th Edition):

Abdelaziz, Hamzah Ahmed. “A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed April 13, 2021. http://hdl.handle.net/1803/10418.

MLA Handbook (7th Edition):

Abdelaziz, Hamzah Ahmed. “A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes.” 2018. Web. 13 Apr 2021.

Vancouver:

Abdelaziz HA. A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/1803/10418.

Council of Science Editors:

Abdelaziz HA. A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://hdl.handle.net/1803/10418


Princeton University

29. wu, anqi. Bayesian latent structure discovery for large-scale neural recordings .

Degree: PhD, 2019, Princeton University

 Many studies in neuroscience posit that large-scale neural activity reflects noisy high-dimensional observations of some underlying, low-dimensional signals of interest. One approach to the problem… (more)

Subjects/Keywords: Bayesian probabilistic modeling; brain analysis; Gaussian process; latent variable model; neural recording; statistical model

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

APA (6th Edition):

wu, a. (2019). Bayesian latent structure discovery for large-scale neural recordings . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01pz50h0025

Chicago Manual of Style (16th Edition):

wu, anqi. “Bayesian latent structure discovery for large-scale neural recordings .” 2019. Doctoral Dissertation, Princeton University. Accessed April 13, 2021. http://arks.princeton.edu/ark:/88435/dsp01pz50h0025.

MLA Handbook (7th Edition):

wu, anqi. “Bayesian latent structure discovery for large-scale neural recordings .” 2019. Web. 13 Apr 2021.

Vancouver:

wu a. Bayesian latent structure discovery for large-scale neural recordings . [Internet] [Doctoral dissertation]. Princeton University; 2019. [cited 2021 Apr 13]. Available from: http://arks.princeton.edu/ark:/88435/dsp01pz50h0025.

Council of Science Editors:

wu a. Bayesian latent structure discovery for large-scale neural recordings . [Doctoral Dissertation]. Princeton University; 2019. Available from: http://arks.princeton.edu/ark:/88435/dsp01pz50h0025


University of Illinois – Urbana-Champaign

30. Zhuang, Xiaodan. Modeling audio and visual cues for real-world event detection.

Degree: PhD, 1200, 2011, University of Illinois – Urbana-Champaign

 Audio-visual event detection aims to identify semantically defined events that reveal human activities. Most previous literature focused on restricted highlight events, and depended on highly… (more)

Subjects/Keywords: hidden Markov model; Gaussian mixture model; Acoustic Event Detection; multimedia retrieval; branch and bound

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

APA (6th Edition):

Zhuang, X. (2011). Modeling audio and visual cues for real-world event detection. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/24439

Chicago Manual of Style (16th Edition):

Zhuang, Xiaodan. “Modeling audio and visual cues for real-world event detection.” 2011. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 13, 2021. http://hdl.handle.net/2142/24439.

MLA Handbook (7th Edition):

Zhuang, Xiaodan. “Modeling audio and visual cues for real-world event detection.” 2011. Web. 13 Apr 2021.

Vancouver:

Zhuang X. Modeling audio and visual cues for real-world event detection. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2011. [cited 2021 Apr 13]. Available from: http://hdl.handle.net/2142/24439.

Council of Science Editors:

Zhuang X. Modeling audio and visual cues for real-world event detection. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/24439

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