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You searched for +publisher:"University of Colorado" +contributor:("Jem Corcoran"). Showing records 1 – 29 of 29 total matches.

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University of Colorado

1. Woytarowicz, Nicole. Discretizing Continuous Attributes of a Bayesian Network With a Birth and Death Process Based on Minimum Description Length.

Degree: MS, Applied Mathematics, 2018, University of Colorado

  A Bayesian network is a graphical model that can be used to represent potentially complex relationships between a large number of random variables. Given… (more)

Subjects/Keywords: bayesian networks; birth and death process; Applied Statistics

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APA (6th Edition):

Woytarowicz, N. (2018). Discretizing Continuous Attributes of a Bayesian Network With a Birth and Death Process Based on Minimum Description Length. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/98

Chicago Manual of Style (16th Edition):

Woytarowicz, Nicole. “Discretizing Continuous Attributes of a Bayesian Network With a Birth and Death Process Based on Minimum Description Length.” 2018. Masters Thesis, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/98.

MLA Handbook (7th Edition):

Woytarowicz, Nicole. “Discretizing Continuous Attributes of a Bayesian Network With a Birth and Death Process Based on Minimum Description Length.” 2018. Web. 25 Jan 2021.

Vancouver:

Woytarowicz N. Discretizing Continuous Attributes of a Bayesian Network With a Birth and Death Process Based on Minimum Description Length. [Internet] [Masters thesis]. University of Colorado; 2018. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/98.

Council of Science Editors:

Woytarowicz N. Discretizing Continuous Attributes of a Bayesian Network With a Birth and Death Process Based on Minimum Description Length. [Masters Thesis]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/appm_gradetds/98


University of Colorado

2. Sidrow, Evan. Network Structure Sampling in Bayesian Networks via Perfect Sampling from Linear Extensions.

Degree: MS, Applied Mathematics, 2018, University of Colorado

  Bayesian networks are widely considered as powerful tools for modeling risk assessment, uncertainty, and decision making. They have been extensively employed to develop decision… (more)

Subjects/Keywords: Bayesian Networks; Partially Ordered Sets; Perfect Simulation; Directed Acyclic Graphs; Applied Statistics; Probability

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APA (6th Edition):

Sidrow, E. (2018). Network Structure Sampling in Bayesian Networks via Perfect Sampling from Linear Extensions. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/98

Chicago Manual of Style (16th Edition):

Sidrow, Evan. “Network Structure Sampling in Bayesian Networks via Perfect Sampling from Linear Extensions.” 2018. Masters Thesis, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/98.

MLA Handbook (7th Edition):

Sidrow, Evan. “Network Structure Sampling in Bayesian Networks via Perfect Sampling from Linear Extensions.” 2018. Web. 25 Jan 2021.

Vancouver:

Sidrow E. Network Structure Sampling in Bayesian Networks via Perfect Sampling from Linear Extensions. [Internet] [Masters thesis]. University of Colorado; 2018. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/98.

Council of Science Editors:

Sidrow E. Network Structure Sampling in Bayesian Networks via Perfect Sampling from Linear Extensions. [Masters Thesis]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/appm_gradetds/98


University of Colorado

3. Kazakov, Denis. State Denoised Recurrent Neural Networks.

Degree: MS, 2018, University of Colorado

 We investigate the use of attractor neural networks for denoising the internal states of another neural network, thereby boosting its generalization performance. Denoising is most… (more)

Subjects/Keywords: recurrent sequence-processing; denoising; information theoretic analysis; binary sequence; behavior; Applied Mathematics; Computer Sciences

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APA (6th Edition):

Kazakov, D. (2018). State Denoised Recurrent Neural Networks. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/112

Chicago Manual of Style (16th Edition):

Kazakov, Denis. “State Denoised Recurrent Neural Networks.” 2018. Masters Thesis, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/112.

MLA Handbook (7th Edition):

Kazakov, Denis. “State Denoised Recurrent Neural Networks.” 2018. Web. 25 Jan 2021.

Vancouver:

Kazakov D. State Denoised Recurrent Neural Networks. [Internet] [Masters thesis]. University of Colorado; 2018. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/112.

Council of Science Editors:

Kazakov D. State Denoised Recurrent Neural Networks. [Masters Thesis]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/appm_gradetds/112


University of Colorado

4. Char, Ian Guo-fan. Algorithmic Construction and Stochastic Analysis of Optimal Automata for Generalized Strings.

Degree: MS, 2018, University of Colorado

  In many applications, the need arises to search a text for appearances of a given set of keywords. As an example, in bioinformatics one… (more)

Subjects/Keywords: aho-corasick automaton; biological motifs; deterministic finite automata; generalized strings; stochastic analysis; Applied Mathematics; Computer Sciences

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APA (6th Edition):

Char, I. G. (2018). Algorithmic Construction and Stochastic Analysis of Optimal Automata for Generalized Strings. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/115

Chicago Manual of Style (16th Edition):

Char, Ian Guo-fan. “Algorithmic Construction and Stochastic Analysis of Optimal Automata for Generalized Strings.” 2018. Masters Thesis, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/115.

MLA Handbook (7th Edition):

Char, Ian Guo-fan. “Algorithmic Construction and Stochastic Analysis of Optimal Automata for Generalized Strings.” 2018. Web. 25 Jan 2021.

Vancouver:

Char IG. Algorithmic Construction and Stochastic Analysis of Optimal Automata for Generalized Strings. [Internet] [Masters thesis]. University of Colorado; 2018. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/115.

Council of Science Editors:

Char IG. Algorithmic Construction and Stochastic Analysis of Optimal Automata for Generalized Strings. [Masters Thesis]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/appm_gradetds/115


University of Colorado

5. Border, Richard. Stochastic Lanczos Likelihood Estimation of Genomic Variance Components.

Degree: MS, Applied Mathematics, 2018, University of Colorado

  Genomic variance components analysis seeks to estimate the extent to which interindividual variation in a given trait can be attributed to genetic similarity. Likelihood… (more)

Subjects/Keywords: variance components; likelihood estimation; numerical linear algebra; krylov subspaces; genomics; Biostatistics; Numerical Analysis and Computation

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APA (6th Edition):

Border, R. (2018). Stochastic Lanczos Likelihood Estimation of Genomic Variance Components. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/120

Chicago Manual of Style (16th Edition):

Border, Richard. “Stochastic Lanczos Likelihood Estimation of Genomic Variance Components.” 2018. Masters Thesis, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/120.

MLA Handbook (7th Edition):

Border, Richard. “Stochastic Lanczos Likelihood Estimation of Genomic Variance Components.” 2018. Web. 25 Jan 2021.

Vancouver:

Border R. Stochastic Lanczos Likelihood Estimation of Genomic Variance Components. [Internet] [Masters thesis]. University of Colorado; 2018. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/120.

Council of Science Editors:

Border R. Stochastic Lanczos Likelihood Estimation of Genomic Variance Components. [Masters Thesis]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/appm_gradetds/120


University of Colorado

6. Lee, Kwan Ho. Simulation of Nonstationary Gaussian Process by Consecutive Conditioning.

Degree: MS, 2018, University of Colorado

  This thesis aims to develop the method of consecutive conditioning, which is used to directly simulate a stochastic process given an arbitrary covariance function.… (more)

Subjects/Keywords: conditional simulatioin; kriging; nonstationary; covariance function; physical processes; Applied Mathematics; Physical Processes

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APA (6th Edition):

Lee, K. H. (2018). Simulation of Nonstationary Gaussian Process by Consecutive Conditioning. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/136

Chicago Manual of Style (16th Edition):

Lee, Kwan Ho. “Simulation of Nonstationary Gaussian Process by Consecutive Conditioning.” 2018. Masters Thesis, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/136.

MLA Handbook (7th Edition):

Lee, Kwan Ho. “Simulation of Nonstationary Gaussian Process by Consecutive Conditioning.” 2018. Web. 25 Jan 2021.

Vancouver:

Lee KH. Simulation of Nonstationary Gaussian Process by Consecutive Conditioning. [Internet] [Masters thesis]. University of Colorado; 2018. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/136.

Council of Science Editors:

Lee KH. Simulation of Nonstationary Gaussian Process by Consecutive Conditioning. [Masters Thesis]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/appm_gradetds/136


University of Colorado

7. Lewis, Owen Ardron. A Review of Mathematical Techniques in Machine Learning.

Degree: MS, Applied Mathematics, 2010, University of Colorado

  As machine learning has developed, its methodologies have become increasingly mathematically sophisticated. For example, sampling and variational methods that were originally developed for application… (more)

Subjects/Keywords: machine learning techniques; Applied Mathematics

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APA (6th Edition):

Lewis, O. A. (2010). A Review of Mathematical Techniques in Machine Learning. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/7

Chicago Manual of Style (16th Edition):

Lewis, Owen Ardron. “A Review of Mathematical Techniques in Machine Learning.” 2010. Masters Thesis, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/7.

MLA Handbook (7th Edition):

Lewis, Owen Ardron. “A Review of Mathematical Techniques in Machine Learning.” 2010. Web. 25 Jan 2021.

Vancouver:

Lewis OA. A Review of Mathematical Techniques in Machine Learning. [Internet] [Masters thesis]. University of Colorado; 2010. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/7.

Council of Science Editors:

Lewis OA. A Review of Mathematical Techniques in Machine Learning. [Masters Thesis]. University of Colorado; 2010. Available from: https://scholar.colorado.edu/appm_gradetds/7


University of Colorado

8. Carpenter, Marshall. Statistical Properties of Avalanches on Complex Networks.

Degree: MS, Applied Mathematics, 2012, University of Colorado

  We characterize the distribution of sizes and durations of avalanches propagating in complex networks. We find that the statistics of avalanches can be characterized… (more)

Subjects/Keywords: Adjacency Matrix; Avalanches; Degree Distribution; Networks; Perron-Frobenius; Power-law; Mathematics; Neurosciences

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APA (6th Edition):

Carpenter, M. (2012). Statistical Properties of Avalanches on Complex Networks. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/25

Chicago Manual of Style (16th Edition):

Carpenter, Marshall. “Statistical Properties of Avalanches on Complex Networks.” 2012. Masters Thesis, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/25.

MLA Handbook (7th Edition):

Carpenter, Marshall. “Statistical Properties of Avalanches on Complex Networks.” 2012. Web. 25 Jan 2021.

Vancouver:

Carpenter M. Statistical Properties of Avalanches on Complex Networks. [Internet] [Masters thesis]. University of Colorado; 2012. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/25.

Council of Science Editors:

Carpenter M. Statistical Properties of Avalanches on Complex Networks. [Masters Thesis]. University of Colorado; 2012. Available from: https://scholar.colorado.edu/appm_gradetds/25


University of Colorado

9. Hampton, Jerrad Davis. Dissimilarity and Optimal Sampling in Urn Ensembles.

Degree: PhD, Applied Mathematics, 2012, University of Colorado

  We study an ensemble of urns with unknown compositions inferred from initial samples with replacement from each urn. This model fits diverse situations. For… (more)

Subjects/Keywords: Alpha-Diversity; Coverage; Dissimilarity; Urn Models; Applied Mathematics; Statistics and Probability

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APA (6th Edition):

Hampton, J. D. (2012). Dissimilarity and Optimal Sampling in Urn Ensembles. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/27

Chicago Manual of Style (16th Edition):

Hampton, Jerrad Davis. “Dissimilarity and Optimal Sampling in Urn Ensembles.” 2012. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/27.

MLA Handbook (7th Edition):

Hampton, Jerrad Davis. “Dissimilarity and Optimal Sampling in Urn Ensembles.” 2012. Web. 25 Jan 2021.

Vancouver:

Hampton JD. Dissimilarity and Optimal Sampling in Urn Ensembles. [Internet] [Doctoral dissertation]. University of Colorado; 2012. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/27.

Council of Science Editors:

Hampton JD. Dissimilarity and Optimal Sampling in Urn Ensembles. [Doctoral Dissertation]. University of Colorado; 2012. Available from: https://scholar.colorado.edu/appm_gradetds/27


University of Colorado

10. Aicher, Christopher Vinyu. The Weighted Stochastic Block Model.

Degree: MS, Applied Mathematics, 2014, University of Colorado

  Community detection is an important task in network analysis, in which we aim to learn a network partition that groups together vertices with similar… (more)

Subjects/Keywords: Bayesian; Community Detection; Generative Models; Machine Learning; Networks; Variational Inference; Applied Mathematics; Computer Sciences; Statistics and Probability; Theory and Algorithms

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APA (6th Edition):

Aicher, C. V. (2014). The Weighted Stochastic Block Model. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/50

Chicago Manual of Style (16th Edition):

Aicher, Christopher Vinyu. “The Weighted Stochastic Block Model.” 2014. Masters Thesis, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/50.

MLA Handbook (7th Edition):

Aicher, Christopher Vinyu. “The Weighted Stochastic Block Model.” 2014. Web. 25 Jan 2021.

Vancouver:

Aicher CV. The Weighted Stochastic Block Model. [Internet] [Masters thesis]. University of Colorado; 2014. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/50.

Council of Science Editors:

Aicher CV. The Weighted Stochastic Block Model. [Masters Thesis]. University of Colorado; 2014. Available from: https://scholar.colorado.edu/appm_gradetds/50


University of Colorado

11. Olson, Branden. Stochastic Weather Generation with Approximate Bayesian Computation.

Degree: MS, Applied Mathematics, 2016, University of Colorado

  Stochastic weather generators (SWGs) are designed to create simulations of synthetic weather data and are frequently used as input into physical models throughout many… (more)

Subjects/Keywords: Approximate Bayesian Computation; Gaussian processes; Geostatistics; Markov chain Monte Carlo; Precipitation Modeling; Stochastic Weather Generators; Applied Mathematics; Applied Statistics; Atmospheric Sciences; Hydrology; Meteorology

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APA (6th Edition):

Olson, B. (2016). Stochastic Weather Generation with Approximate Bayesian Computation. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/74

Chicago Manual of Style (16th Edition):

Olson, Branden. “Stochastic Weather Generation with Approximate Bayesian Computation.” 2016. Masters Thesis, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/74.

MLA Handbook (7th Edition):

Olson, Branden. “Stochastic Weather Generation with Approximate Bayesian Computation.” 2016. Web. 25 Jan 2021.

Vancouver:

Olson B. Stochastic Weather Generation with Approximate Bayesian Computation. [Internet] [Masters thesis]. University of Colorado; 2016. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/74.

Council of Science Editors:

Olson B. Stochastic Weather Generation with Approximate Bayesian Computation. [Masters Thesis]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/appm_gradetds/74


University of Colorado

12. Driggs, Derek T. Optimization for High-Dimensional Data Analysis.

Degree: MS, Applied Mathematics, 2017, University of Colorado

 As modern datasets continue to grow in size, they are also growing in complexity. Data are more often being recorded using multiple sensors, creating large,… (more)

Subjects/Keywords: Low-rank regularization; Parallel programming; RPCA; Tensor; Applied Mathematics; Numerical Analysis and Scientific Computing

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APA (6th Edition):

Driggs, D. T. (2017). Optimization for High-Dimensional Data Analysis. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/86

Chicago Manual of Style (16th Edition):

Driggs, Derek T. “Optimization for High-Dimensional Data Analysis.” 2017. Masters Thesis, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/86.

MLA Handbook (7th Edition):

Driggs, Derek T. “Optimization for High-Dimensional Data Analysis.” 2017. Web. 25 Jan 2021.

Vancouver:

Driggs DT. Optimization for High-Dimensional Data Analysis. [Internet] [Masters thesis]. University of Colorado; 2017. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/86.

Council of Science Editors:

Driggs DT. Optimization for High-Dimensional Data Analysis. [Masters Thesis]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/appm_gradetds/86


University of Colorado

13. Mink, Jacob. Twitter and Movies: Can Important Users Influence the Industry?.

Degree: MS, Applied Mathematics, 2017, University of Colorado

 Over the past decade, social media has become an increasingly powerful tool for economic and social analysis. Specifically, Twitter has been used in a variety… (more)

Subjects/Keywords: box office; NLP; Twitter; user graph; Applied Mathematics; Social Media

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APA (6th Edition):

Mink, J. (2017). Twitter and Movies: Can Important Users Influence the Industry?. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/91

Chicago Manual of Style (16th Edition):

Mink, Jacob. “Twitter and Movies: Can Important Users Influence the Industry?.” 2017. Masters Thesis, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/91.

MLA Handbook (7th Edition):

Mink, Jacob. “Twitter and Movies: Can Important Users Influence the Industry?.” 2017. Web. 25 Jan 2021.

Vancouver:

Mink J. Twitter and Movies: Can Important Users Influence the Industry?. [Internet] [Masters thesis]. University of Colorado; 2017. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/91.

Council of Science Editors:

Mink J. Twitter and Movies: Can Important Users Influence the Industry?. [Masters Thesis]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/appm_gradetds/91


University of Colorado

14. Medley, Gavin Christopher. Detection and Characterization of Ice Surface Elevation Profiles from Micropulse Photon-Counting Lidar Data.

Degree: MS, Applied Mathematics, 2016, University of Colorado

 Quantitative analysis of the cryosphere relies on accurate and very precise data describing the ice surfaces of the earth. These data can be used to… (more)

Subjects/Keywords: altimetry; glacier; greenland; icesat; lidar; simpl; Applied Mathematics; Geographic Information Sciences; Remote Sensing

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APA (6th Edition):

Medley, G. C. (2016). Detection and Characterization of Ice Surface Elevation Profiles from Micropulse Photon-Counting Lidar Data. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/100

Chicago Manual of Style (16th Edition):

Medley, Gavin Christopher. “Detection and Characterization of Ice Surface Elevation Profiles from Micropulse Photon-Counting Lidar Data.” 2016. Masters Thesis, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/100.

MLA Handbook (7th Edition):

Medley, Gavin Christopher. “Detection and Characterization of Ice Surface Elevation Profiles from Micropulse Photon-Counting Lidar Data.” 2016. Web. 25 Jan 2021.

Vancouver:

Medley GC. Detection and Characterization of Ice Surface Elevation Profiles from Micropulse Photon-Counting Lidar Data. [Internet] [Masters thesis]. University of Colorado; 2016. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/100.

Council of Science Editors:

Medley GC. Detection and Characterization of Ice Surface Elevation Profiles from Micropulse Photon-Counting Lidar Data. [Masters Thesis]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/appm_gradetds/100


University of Colorado

15. Slattum, Victoria Anne. Feature-Based Calibration of a Global Magnetosphere-Ionosphere Model for Geomagnetic Storms.

Degree: MS, Applied Mathematics, 2017, University of Colorado

 Geomagnetic storms play a significant role in space weather physics and have the potential to impact our daily lives. Widespread impacts of space weather physics… (more)

Subjects/Keywords: calibration; computer experiments; geomagnetic storms; kriging; multivariate computer model; Applied Mathematics; Applied Statistics; Atmospheric Sciences

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APA (6th Edition):

Slattum, V. A. (2017). Feature-Based Calibration of a Global Magnetosphere-Ionosphere Model for Geomagnetic Storms. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/101

Chicago Manual of Style (16th Edition):

Slattum, Victoria Anne. “Feature-Based Calibration of a Global Magnetosphere-Ionosphere Model for Geomagnetic Storms.” 2017. Masters Thesis, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/101.

MLA Handbook (7th Edition):

Slattum, Victoria Anne. “Feature-Based Calibration of a Global Magnetosphere-Ionosphere Model for Geomagnetic Storms.” 2017. Web. 25 Jan 2021.

Vancouver:

Slattum VA. Feature-Based Calibration of a Global Magnetosphere-Ionosphere Model for Geomagnetic Storms. [Internet] [Masters thesis]. University of Colorado; 2017. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/101.

Council of Science Editors:

Slattum VA. Feature-Based Calibration of a Global Magnetosphere-Ionosphere Model for Geomagnetic Storms. [Masters Thesis]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/appm_gradetds/101


University of Colorado

16. Dao, Raymond. Probabilistic and Statistical Methods for Target Tracking.

Degree: MS, Applied Mathematics, 2015, University of Colorado

  Accurate and efficient tracking of objects through frames of a video is important in a wide range of areas including surveillance, military, and medical… (more)

Subjects/Keywords: Image Alignment; Target Tracking; Applied Mathematics; Applied Statistics

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APA (6th Edition):

Dao, R. (2015). Probabilistic and Statistical Methods for Target Tracking. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/69

Chicago Manual of Style (16th Edition):

Dao, Raymond. “Probabilistic and Statistical Methods for Target Tracking.” 2015. Masters Thesis, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/69.

MLA Handbook (7th Edition):

Dao, Raymond. “Probabilistic and Statistical Methods for Target Tracking.” 2015. Web. 25 Jan 2021.

Vancouver:

Dao R. Probabilistic and Statistical Methods for Target Tracking. [Internet] [Masters thesis]. University of Colorado; 2015. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/69.

Council of Science Editors:

Dao R. Probabilistic and Statistical Methods for Target Tracking. [Masters Thesis]. University of Colorado; 2015. Available from: https://scholar.colorado.edu/appm_gradetds/69


University of Colorado

17. Zetterlund, Erika Henning. Fuel for the Star Formation Engine: Dense Molecular Cloud Clumps in the Northern Galactic Plane.

Degree: PhD, 2018, University of Colorado

  The interstellar medium (ISM) is a confusing, muddled place. It provides the fuel for star formation, but before that can occur, the ISM must… (more)

Subjects/Keywords: interstellar medium; milky way galaxy; herschel infrared galactic; galactic plane; molecular; Astrophysics and Astronomy; Stars, Interstellar Medium and the Galaxy

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APA (6th Edition):

Zetterlund, E. H. (2018). Fuel for the Star Formation Engine: Dense Molecular Cloud Clumps in the Northern Galactic Plane. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/astr_gradetds/55

Chicago Manual of Style (16th Edition):

Zetterlund, Erika Henning. “Fuel for the Star Formation Engine: Dense Molecular Cloud Clumps in the Northern Galactic Plane.” 2018. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/astr_gradetds/55.

MLA Handbook (7th Edition):

Zetterlund, Erika Henning. “Fuel for the Star Formation Engine: Dense Molecular Cloud Clumps in the Northern Galactic Plane.” 2018. Web. 25 Jan 2021.

Vancouver:

Zetterlund EH. Fuel for the Star Formation Engine: Dense Molecular Cloud Clumps in the Northern Galactic Plane. [Internet] [Doctoral dissertation]. University of Colorado; 2018. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/astr_gradetds/55.

Council of Science Editors:

Zetterlund EH. Fuel for the Star Formation Engine: Dense Molecular Cloud Clumps in the Northern Galactic Plane. [Doctoral Dissertation]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/astr_gradetds/55


University of Colorado

18. Fairbanks, Hillary Ruth. Low-Rank, Multi-Fidelity Methods for Uncertainty Quantification of High-Dimensional Systems.

Degree: PhD, 2018, University of Colorado

  Characterizing and incorporating uncertainties when simulating physical phenomena is essential for improving model-based predictions. These uncertainties may stem from a lack of knowledge regarding… (more)

Subjects/Keywords: bi-fidelity approximations; low-rank approximations; multi-fidelity approximations; parametric model reduction; uncertainty quantification; Applied Mathematics; Models and Methods

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APA (6th Edition):

Fairbanks, H. R. (2018). Low-Rank, Multi-Fidelity Methods for Uncertainty Quantification of High-Dimensional Systems. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/114

Chicago Manual of Style (16th Edition):

Fairbanks, Hillary Ruth. “Low-Rank, Multi-Fidelity Methods for Uncertainty Quantification of High-Dimensional Systems.” 2018. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/114.

MLA Handbook (7th Edition):

Fairbanks, Hillary Ruth. “Low-Rank, Multi-Fidelity Methods for Uncertainty Quantification of High-Dimensional Systems.” 2018. Web. 25 Jan 2021.

Vancouver:

Fairbanks HR. Low-Rank, Multi-Fidelity Methods for Uncertainty Quantification of High-Dimensional Systems. [Internet] [Doctoral dissertation]. University of Colorado; 2018. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/114.

Council of Science Editors:

Fairbanks HR. Low-Rank, Multi-Fidelity Methods for Uncertainty Quantification of High-Dimensional Systems. [Doctoral Dissertation]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/appm_gradetds/114


University of Colorado

19. Coston, Natalie A. Spectral Properties of Products of Independent Random Matrices.

Degree: PhD, 2018, University of Colorado

  In the field of random matrix theory, there are many matrix models one may choose to study. This thesis focuses on independent and identically… (more)

Subjects/Keywords: probability; random matrix; eigenvalues; product; gaussian distribution; Mathematics; Statistics and Probability

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APA (6th Edition):

Coston, N. A. (2018). Spectral Properties of Products of Independent Random Matrices. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/math_gradetds/62

Chicago Manual of Style (16th Edition):

Coston, Natalie A. “Spectral Properties of Products of Independent Random Matrices.” 2018. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/math_gradetds/62.

MLA Handbook (7th Edition):

Coston, Natalie A. “Spectral Properties of Products of Independent Random Matrices.” 2018. Web. 25 Jan 2021.

Vancouver:

Coston NA. Spectral Properties of Products of Independent Random Matrices. [Internet] [Doctoral dissertation]. University of Colorado; 2018. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/math_gradetds/62.

Council of Science Editors:

Coston NA. Spectral Properties of Products of Independent Random Matrices. [Doctoral Dissertation]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/math_gradetds/62


University of Colorado

20. Matviychuk, Yevgen. Learning and Mapping onto Manifolds with Applications to Patch-based Image Processing.

Degree: PhD, Electrical, Computer & Energy Engineering, 2016, University of Colorado

  While the field of image processing has been around for some time, new applications across many diverse areas, such as medical imaging, remote sensing,… (more)

Subjects/Keywords: Image processing; Inverse problems; Kernel methods; Machine learning; Manifold models; Computer Sciences; Electrical and Computer Engineering

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APA (6th Edition):

Matviychuk, Y. (2016). Learning and Mapping onto Manifolds with Applications to Patch-based Image Processing. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/ecen_gradetds/124

Chicago Manual of Style (16th Edition):

Matviychuk, Yevgen. “Learning and Mapping onto Manifolds with Applications to Patch-based Image Processing.” 2016. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/ecen_gradetds/124.

MLA Handbook (7th Edition):

Matviychuk, Yevgen. “Learning and Mapping onto Manifolds with Applications to Patch-based Image Processing.” 2016. Web. 25 Jan 2021.

Vancouver:

Matviychuk Y. Learning and Mapping onto Manifolds with Applications to Patch-based Image Processing. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/ecen_gradetds/124.

Council of Science Editors:

Matviychuk Y. Learning and Mapping onto Manifolds with Applications to Patch-based Image Processing. [Doctoral Dissertation]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/ecen_gradetds/124


University of Colorado

21. Broido, Anna. Characterizing the tails of degree distributions in real-world networks.

Degree: PhD, Applied Mathematics, 2019, University of Colorado

  This is a thesis about how to characterize the statistical structure of the tails of degree distributions of real-world networks. The primary contribution is… (more)

Subjects/Keywords: networks; power law; scale free; Applied Statistics; Other Applied Mathematics; Probability; Statistical Methodology; Statistical Models

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APA (6th Edition):

Broido, A. (2019). Characterizing the tails of degree distributions in real-world networks. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/143

Chicago Manual of Style (16th Edition):

Broido, Anna. “Characterizing the tails of degree distributions in real-world networks.” 2019. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/143.

MLA Handbook (7th Edition):

Broido, Anna. “Characterizing the tails of degree distributions in real-world networks.” 2019. Web. 25 Jan 2021.

Vancouver:

Broido A. Characterizing the tails of degree distributions in real-world networks. [Internet] [Doctoral dissertation]. University of Colorado; 2019. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/143.

Council of Science Editors:

Broido A. Characterizing the tails of degree distributions in real-world networks. [Doctoral Dissertation]. University of Colorado; 2019. Available from: https://scholar.colorado.edu/appm_gradetds/143


University of Colorado

22. Kightley, Eric P. Stokes, Gauss, and Bayes walk into a bar...

Degree: PhD, Applied Mathematics, 2019, University of Colorado

  This thesis consists of three distinct projects. The first is a study of microbial aggregate fragmentation, in which we develop a dynamical model of… (more)

Subjects/Keywords: Gaussian mixture models; clustering; Bayesian networks; probabilistic graphical models; anomaly detection; classification; Artificial Intelligence and Robotics; Information Security; Numerical Analysis and Computation; Other Applied Mathematics

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APA (6th Edition):

Kightley, E. P. (2019). Stokes, Gauss, and Bayes walk into a bar... (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/144

Chicago Manual of Style (16th Edition):

Kightley, Eric P. “Stokes, Gauss, and Bayes walk into a bar...” 2019. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/144.

MLA Handbook (7th Edition):

Kightley, Eric P. “Stokes, Gauss, and Bayes walk into a bar...” 2019. Web. 25 Jan 2021.

Vancouver:

Kightley EP. Stokes, Gauss, and Bayes walk into a bar... [Internet] [Doctoral dissertation]. University of Colorado; 2019. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/144.

Council of Science Editors:

Kightley EP. Stokes, Gauss, and Bayes walk into a bar... [Doctoral Dissertation]. University of Colorado; 2019. Available from: https://scholar.colorado.edu/appm_gradetds/144


University of Colorado

23. Kightley, Eric Paul. Stokes, Gauss, and Bayes Walk into a Bar...

Degree: PhD, 2019, University of Colorado

 This thesis consists of three distinct projects. The first is a study of microbial aggregate fragmentation, in which we develop a dynamical model of aggregate… (more)

Subjects/Keywords: classification; clustering; dimensionality reduction; probabilistic graphical models; random projections; Applied Mathematics; Artificial Intelligence and Robotics; Statistical Models

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APA (6th Edition):

Kightley, E. P. (2019). Stokes, Gauss, and Bayes Walk into a Bar... (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/152

Chicago Manual of Style (16th Edition):

Kightley, Eric Paul. “Stokes, Gauss, and Bayes Walk into a Bar...” 2019. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/152.

MLA Handbook (7th Edition):

Kightley, Eric Paul. “Stokes, Gauss, and Bayes Walk into a Bar...” 2019. Web. 25 Jan 2021.

Vancouver:

Kightley EP. Stokes, Gauss, and Bayes Walk into a Bar... [Internet] [Doctoral dissertation]. University of Colorado; 2019. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/152.

Council of Science Editors:

Kightley EP. Stokes, Gauss, and Bayes Walk into a Bar... [Doctoral Dissertation]. University of Colorado; 2019. Available from: https://scholar.colorado.edu/appm_gradetds/152


University of Colorado

24. Broido, Anna D. Characterizing the Tails of Degree Distributions in Real-World Networks.

Degree: PhD, 2019, University of Colorado

 This is a thesis about how to characterize the statistical structure of the tails of degree distributions of real-world networks. The primary contribution is a… (more)

Subjects/Keywords: networks; power law; scale free; Applied Mathematics

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

APA (6th Edition):

Broido, A. D. (2019). Characterizing the Tails of Degree Distributions in Real-World Networks. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/153

Chicago Manual of Style (16th Edition):

Broido, Anna D. “Characterizing the Tails of Degree Distributions in Real-World Networks.” 2019. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/153.

MLA Handbook (7th Edition):

Broido, Anna D. “Characterizing the Tails of Degree Distributions in Real-World Networks.” 2019. Web. 25 Jan 2021.

Vancouver:

Broido AD. Characterizing the Tails of Degree Distributions in Real-World Networks. [Internet] [Doctoral dissertation]. University of Colorado; 2019. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/153.

Council of Science Editors:

Broido AD. Characterizing the Tails of Degree Distributions in Real-World Networks. [Doctoral Dissertation]. University of Colorado; 2019. Available from: https://scholar.colorado.edu/appm_gradetds/153


University of Colorado

25. Ali, Ashar Fawad. ULF Waves and Diffusive Radial Transport of Charged Particles.

Degree: PhD, Applied Mathematics, 2016, University of Colorado

  The Van Allen radiation belts contain highly energetic particles which interact with a variety of plasma and magnetohydrodynamic (MHD) waves. Waves in the ultra… (more)

Subjects/Keywords: CRRES; Magnetospheric Physics; Radial Diffusion; RBSP; ULF Waves; Van Allen Radiation Belts; Applied Mathematics; Plasma and Beam Physics

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APA (6th Edition):

Ali, A. F. (2016). ULF Waves and Diffusive Radial Transport of Charged Particles. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/71

Chicago Manual of Style (16th Edition):

Ali, Ashar Fawad. “ULF Waves and Diffusive Radial Transport of Charged Particles.” 2016. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/71.

MLA Handbook (7th Edition):

Ali, Ashar Fawad. “ULF Waves and Diffusive Radial Transport of Charged Particles.” 2016. Web. 25 Jan 2021.

Vancouver:

Ali AF. ULF Waves and Diffusive Radial Transport of Charged Particles. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/71.

Council of Science Editors:

Ali AF. ULF Waves and Diffusive Radial Transport of Charged Particles. [Doctoral Dissertation]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/appm_gradetds/71


University of Colorado

26. Wong, Tony E. The Impact of Stable Water Isotopic Information on Parameter Calibration in a Land Surface Model.

Degree: PhD, Applied Mathematics, 2016, University of Colorado

  The single largest uncertainty in climate model energy balance is the surface latent heating over tropical land. Furthermore, the partitioning of the total latent… (more)

Subjects/Keywords: Bayesian; calibration; isotope; Markov; model; uncertainty; Applied Mathematics; Hydrology

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APA (6th Edition):

Wong, T. E. (2016). The Impact of Stable Water Isotopic Information on Parameter Calibration in a Land Surface Model. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/72

Chicago Manual of Style (16th Edition):

Wong, Tony E. “The Impact of Stable Water Isotopic Information on Parameter Calibration in a Land Surface Model.” 2016. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/72.

MLA Handbook (7th Edition):

Wong, Tony E. “The Impact of Stable Water Isotopic Information on Parameter Calibration in a Land Surface Model.” 2016. Web. 25 Jan 2021.

Vancouver:

Wong TE. The Impact of Stable Water Isotopic Information on Parameter Calibration in a Land Surface Model. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/72.

Council of Science Editors:

Wong TE. The Impact of Stable Water Isotopic Information on Parameter Calibration in a Land Surface Model. [Doctoral Dissertation]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/appm_gradetds/72


University of Colorado

27. Mullen, Zachary. Theory and Methods for Large Spatial Data.

Degree: PhD, 2018, University of Colorado

  Correlated Gaussian processes are of central importance to the study of time series, spatial statistics, computer experiments, and many machine learning models. Large spatially… (more)

Subjects/Keywords: circular data; equivalent kernel; gaussian processes; spatial statistics; stochastic weather generators; wind modeling; Applied Mathematics; Statistical Theory

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APA (6th Edition):

Mullen, Z. (2018). Theory and Methods for Large Spatial Data. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/105

Chicago Manual of Style (16th Edition):

Mullen, Zachary. “Theory and Methods for Large Spatial Data.” 2018. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/appm_gradetds/105.

MLA Handbook (7th Edition):

Mullen, Zachary. “Theory and Methods for Large Spatial Data.” 2018. Web. 25 Jan 2021.

Vancouver:

Mullen Z. Theory and Methods for Large Spatial Data. [Internet] [Doctoral dissertation]. University of Colorado; 2018. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/appm_gradetds/105.

Council of Science Editors:

Mullen Z. Theory and Methods for Large Spatial Data. [Doctoral Dissertation]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/appm_gradetds/105


University of Colorado

28. Saraiva, Paulo Quinderé. GMM Estimation of Spatial Autoregressive Models in a System of Simultaneous Equations.

Degree: PhD, Economics, 2015, University of Colorado

  This dissertation proposes a generalized method of moments (GMM) estimation framework for the spatial autorregressive (SAR) model in a system of simultaneous equations with… (more)

Subjects/Keywords: GMM; Heterosgedasticity; IV; Robust; SAR; System of Equations; Economics; Statistical Models

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APA (6th Edition):

Saraiva, P. Q. (2015). GMM Estimation of Spatial Autoregressive Models in a System of Simultaneous Equations. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/econ_gradetds/63

Chicago Manual of Style (16th Edition):

Saraiva, Paulo Quinderé. “GMM Estimation of Spatial Autoregressive Models in a System of Simultaneous Equations.” 2015. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/econ_gradetds/63.

MLA Handbook (7th Edition):

Saraiva, Paulo Quinderé. “GMM Estimation of Spatial Autoregressive Models in a System of Simultaneous Equations.” 2015. Web. 25 Jan 2021.

Vancouver:

Saraiva PQ. GMM Estimation of Spatial Autoregressive Models in a System of Simultaneous Equations. [Internet] [Doctoral dissertation]. University of Colorado; 2015. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/econ_gradetds/63.

Council of Science Editors:

Saraiva PQ. GMM Estimation of Spatial Autoregressive Models in a System of Simultaneous Equations. [Doctoral Dissertation]. University of Colorado; 2015. Available from: https://scholar.colorado.edu/econ_gradetds/63


University of Colorado

29. Dunlap, Colton Ray. Reverberation Chamber Characterization Using Enhanced Backscatter Coefficient Measurements.

Degree: PhD, Electrical, Computer & Energy Engineering, 2013, University of Colorado

  The primary focus of this thesis is to evaluate the use of the enhanced backscatter coefficient as a quantity for characterizing the spatial uniformity… (more)

Subjects/Keywords: antenna efficiency; enhanced backscatter; Green's function model; power delay profile; reverberation chamber; statistical measurement; Electromagnetics and Photonics

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APA (6th Edition):

Dunlap, C. R. (2013). Reverberation Chamber Characterization Using Enhanced Backscatter Coefficient Measurements. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/ecen_gradetds/74

Chicago Manual of Style (16th Edition):

Dunlap, Colton Ray. “Reverberation Chamber Characterization Using Enhanced Backscatter Coefficient Measurements.” 2013. Doctoral Dissertation, University of Colorado. Accessed January 25, 2021. https://scholar.colorado.edu/ecen_gradetds/74.

MLA Handbook (7th Edition):

Dunlap, Colton Ray. “Reverberation Chamber Characterization Using Enhanced Backscatter Coefficient Measurements.” 2013. Web. 25 Jan 2021.

Vancouver:

Dunlap CR. Reverberation Chamber Characterization Using Enhanced Backscatter Coefficient Measurements. [Internet] [Doctoral dissertation]. University of Colorado; 2013. [cited 2021 Jan 25]. Available from: https://scholar.colorado.edu/ecen_gradetds/74.

Council of Science Editors:

Dunlap CR. Reverberation Chamber Characterization Using Enhanced Backscatter Coefficient Measurements. [Doctoral Dissertation]. University of Colorado; 2013. Available from: https://scholar.colorado.edu/ecen_gradetds/74

.