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You searched for +publisher:"Brown University" +contributor:("Harrison, Matthew"). Showing records 1 – 8 of 8 total matches.

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1. Wang, Wei-Ying. Image Compression and Data Clustering: New Takes on Some Old Problems.

Degree: Department of Applied Mathematics, 2017, Brown University

 We explore two topics in this thesis: (1) entropy rate on images, and (2) robust generalized clustering method. On the first topic, we examine the… (more)

Subjects/Keywords: Image compression

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

APA (6th Edition):

Wang, W. (2017). Image Compression and Data Clustering: New Takes on Some Old Problems. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:733554/

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):

Wang, Wei-Ying. “Image Compression and Data Clustering: New Takes on Some Old Problems.” 2017. Thesis, Brown University. Accessed March 20, 2019. https://repository.library.brown.edu/studio/item/bdr:733554/.

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

MLA Handbook (7th Edition):

Wang, Wei-Ying. “Image Compression and Data Clustering: New Takes on Some Old Problems.” 2017. Web. 20 Mar 2019.

Vancouver:

Wang W. Image Compression and Data Clustering: New Takes on Some Old Problems. [Internet] [Thesis]. Brown University; 2017. [cited 2019 Mar 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:733554/.

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

Council of Science Editors:

Wang W. Image Compression and Data Clustering: New Takes on Some Old Problems. [Thesis]. Brown University; 2017. Available from: https://repository.library.brown.edu/studio/item/bdr:733554/

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

2. Pfrang, Christian Werner. Diagonalizing Random Matrices with Integrable Systems.

Degree: PhD, Applied Mathematics, 2011, Brown University

 This thesis is concerned with the applicationof a certain class of eigenvalue algorithmsto random matrix initial data. In particularwe study numerically the time to first… (more)

Subjects/Keywords: Completely Integrable

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APA (6th Edition):

Pfrang, C. W. (2011). Diagonalizing Random Matrices with Integrable Systems. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:11289/

Chicago Manual of Style (16th Edition):

Pfrang, Christian Werner. “Diagonalizing Random Matrices with Integrable Systems.” 2011. Doctoral Dissertation, Brown University. Accessed March 20, 2019. https://repository.library.brown.edu/studio/item/bdr:11289/.

MLA Handbook (7th Edition):

Pfrang, Christian Werner. “Diagonalizing Random Matrices with Integrable Systems.” 2011. Web. 20 Mar 2019.

Vancouver:

Pfrang CW. Diagonalizing Random Matrices with Integrable Systems. [Internet] [Doctoral dissertation]. Brown University; 2011. [cited 2019 Mar 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:11289/.

Council of Science Editors:

Pfrang CW. Diagonalizing Random Matrices with Integrable Systems. [Doctoral Dissertation]. Brown University; 2011. Available from: https://repository.library.brown.edu/studio/item/bdr:11289/

3. Miller, Jeffrey W. Nonparametric and Variable-Dimension Bayesian Mixture Models: Analysis, Comparison, and New Methods.

Degree: PhD, Applied Mathematics, 2014, Brown University

 Many nonparametric Bayesian models can be viewed as an infinite-dimensional limit of a family of finite-dimensional models. However, another way to construct a flexible Bayesian… (more)

Subjects/Keywords: Bayesian nonparametrics

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APA (6th Edition):

Miller, J. W. (2014). Nonparametric and Variable-Dimension Bayesian Mixture Models: Analysis, Comparison, and New Methods. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:386270/

Chicago Manual of Style (16th Edition):

Miller, Jeffrey W. “Nonparametric and Variable-Dimension Bayesian Mixture Models: Analysis, Comparison, and New Methods.” 2014. Doctoral Dissertation, Brown University. Accessed March 20, 2019. https://repository.library.brown.edu/studio/item/bdr:386270/.

MLA Handbook (7th Edition):

Miller, Jeffrey W. “Nonparametric and Variable-Dimension Bayesian Mixture Models: Analysis, Comparison, and New Methods.” 2014. Web. 20 Mar 2019.

Vancouver:

Miller JW. Nonparametric and Variable-Dimension Bayesian Mixture Models: Analysis, Comparison, and New Methods. [Internet] [Doctoral dissertation]. Brown University; 2014. [cited 2019 Mar 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:386270/.

Council of Science Editors:

Miller JW. Nonparametric and Variable-Dimension Bayesian Mixture Models: Analysis, Comparison, and New Methods. [Doctoral Dissertation]. Brown University; 2014. Available from: https://repository.library.brown.edu/studio/item/bdr:386270/

4. Loper, Jackson Hoy. Theory and Computation for Modern Probabilistic Models.

Degree: Department of Applied Mathematics, 2017, Brown University

 Modern probabilistic models involve computation and analysis in very high-dimensional spaces. Here we explore several of ways in which analysis of problems high dimensional spaces… (more)

Subjects/Keywords: Machine Learning

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APA (6th Edition):

Loper, J. H. (2017). Theory and Computation for Modern Probabilistic Models. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:733424/

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):

Loper, Jackson Hoy. “Theory and Computation for Modern Probabilistic Models.” 2017. Thesis, Brown University. Accessed March 20, 2019. https://repository.library.brown.edu/studio/item/bdr:733424/.

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

MLA Handbook (7th Edition):

Loper, Jackson Hoy. “Theory and Computation for Modern Probabilistic Models.” 2017. Web. 20 Mar 2019.

Vancouver:

Loper JH. Theory and Computation for Modern Probabilistic Models. [Internet] [Thesis]. Brown University; 2017. [cited 2019 Mar 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:733424/.

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

Council of Science Editors:

Loper JH. Theory and Computation for Modern Probabilistic Models. [Thesis]. Brown University; 2017. Available from: https://repository.library.brown.edu/studio/item/bdr:733424/

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

5. Nadkarni, Dahlia. The Incidental Parameter Problem in Network Analysis for Neural Spiking Data.

Degree: PhD, Applied Mathematics, 2015, Brown University

 The spiking electrical activity of simultaneously recorded neurons is often modeled as a multivariate binary time series. Inference about the fast temporal correlation structure of… (more)

Subjects/Keywords: Incidental parameter problems

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

APA (6th Edition):

Nadkarni, D. (2015). The Incidental Parameter Problem in Network Analysis for Neural Spiking Data. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:419471/

Chicago Manual of Style (16th Edition):

Nadkarni, Dahlia. “The Incidental Parameter Problem in Network Analysis for Neural Spiking Data.” 2015. Doctoral Dissertation, Brown University. Accessed March 20, 2019. https://repository.library.brown.edu/studio/item/bdr:419471/.

MLA Handbook (7th Edition):

Nadkarni, Dahlia. “The Incidental Parameter Problem in Network Analysis for Neural Spiking Data.” 2015. Web. 20 Mar 2019.

Vancouver:

Nadkarni D. The Incidental Parameter Problem in Network Analysis for Neural Spiking Data. [Internet] [Doctoral dissertation]. Brown University; 2015. [cited 2019 Mar 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:419471/.

Council of Science Editors:

Nadkarni D. The Incidental Parameter Problem in Network Analysis for Neural Spiking Data. [Doctoral Dissertation]. Brown University; 2015. Available from: https://repository.library.brown.edu/studio/item/bdr:419471/

6. CHRYSANTHOPOULOU, STAVROULA. Statistical Methods in Micro-Simulation Modeling: Calibration and Predictive Accuracy.

Degree: PhD, Biostatistics, 2013, Brown University

 This thesis presents research on statistical methods for the development and evaluation of micro-simulation models (MSM). We developed a streamlined, continuous time MSM that describes… (more)

Subjects/Keywords: Micro-simulation Model

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

APA (6th Edition):

CHRYSANTHOPOULOU, S. (2013). Statistical Methods in Micro-Simulation Modeling: Calibration and Predictive Accuracy. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:386153/

Chicago Manual of Style (16th Edition):

CHRYSANTHOPOULOU, STAVROULA. “Statistical Methods in Micro-Simulation Modeling: Calibration and Predictive Accuracy.” 2013. Doctoral Dissertation, Brown University. Accessed March 20, 2019. https://repository.library.brown.edu/studio/item/bdr:386153/.

MLA Handbook (7th Edition):

CHRYSANTHOPOULOU, STAVROULA. “Statistical Methods in Micro-Simulation Modeling: Calibration and Predictive Accuracy.” 2013. Web. 20 Mar 2019.

Vancouver:

CHRYSANTHOPOULOU S. Statistical Methods in Micro-Simulation Modeling: Calibration and Predictive Accuracy. [Internet] [Doctoral dissertation]. Brown University; 2013. [cited 2019 Mar 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:386153/.

Council of Science Editors:

CHRYSANTHOPOULOU S. Statistical Methods in Micro-Simulation Modeling: Calibration and Predictive Accuracy. [Doctoral Dissertation]. Brown University; 2013. Available from: https://repository.library.brown.edu/studio/item/bdr:386153/

7. Homer, Mark L. Novel Algorithms for Better Decoding of Neural Signals for Intracortical Brain Computer Interfaces.

Degree: PhD, Biomedical Engineering, 2014, Brown University

 Intracortical brain computer interfaces directly link the brain to external devices. When a person attempts to move, electrodes inserted into the motor cortex can record… (more)

Subjects/Keywords: Intracortical brain computer interfaces

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

APA (6th Edition):

Homer, M. L. (2014). Novel Algorithms for Better Decoding of Neural Signals for Intracortical Brain Computer Interfaces. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:386197/

Chicago Manual of Style (16th Edition):

Homer, Mark L. “Novel Algorithms for Better Decoding of Neural Signals for Intracortical Brain Computer Interfaces.” 2014. Doctoral Dissertation, Brown University. Accessed March 20, 2019. https://repository.library.brown.edu/studio/item/bdr:386197/.

MLA Handbook (7th Edition):

Homer, Mark L. “Novel Algorithms for Better Decoding of Neural Signals for Intracortical Brain Computer Interfaces.” 2014. Web. 20 Mar 2019.

Vancouver:

Homer ML. Novel Algorithms for Better Decoding of Neural Signals for Intracortical Brain Computer Interfaces. [Internet] [Doctoral dissertation]. Brown University; 2014. [cited 2019 Mar 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:386197/.

Council of Science Editors:

Homer ML. Novel Algorithms for Better Decoding of Neural Signals for Intracortical Brain Computer Interfaces. [Doctoral Dissertation]. Brown University; 2014. Available from: https://repository.library.brown.edu/studio/item/bdr:386197/

8. Ott, Miles Q. Analytic Methods for Network Data.

Degree: PhD, Biostatistics, 2014, Brown University

 This dissertation presents methods for statistical analysis of social network data. First, we develop a Bayesian hierarchical model that calibrates self and peer-reports in order… (more)

Subjects/Keywords: respondent-driven sampling

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

APA (6th Edition):

Ott, M. Q. (2014). Analytic Methods for Network Data. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:386155/

Chicago Manual of Style (16th Edition):

Ott, Miles Q. “Analytic Methods for Network Data.” 2014. Doctoral Dissertation, Brown University. Accessed March 20, 2019. https://repository.library.brown.edu/studio/item/bdr:386155/.

MLA Handbook (7th Edition):

Ott, Miles Q. “Analytic Methods for Network Data.” 2014. Web. 20 Mar 2019.

Vancouver:

Ott MQ. Analytic Methods for Network Data. [Internet] [Doctoral dissertation]. Brown University; 2014. [cited 2019 Mar 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:386155/.

Council of Science Editors:

Ott MQ. Analytic Methods for Network Data. [Doctoral Dissertation]. Brown University; 2014. Available from: https://repository.library.brown.edu/studio/item/bdr:386155/

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