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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

URL: https://scholar.colorado.edu/appm_gradetds/98

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/98

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/112

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/115

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/120

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/136

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/7

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/25

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/27

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/50

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/74

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/86

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/91

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/100

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/101

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/69

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/astr_gradetds/55

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/114

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/math_gradetds/62

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/ecen_gradetds/124

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/143

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/144

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/152

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/153

► 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

Record Details Similar Records

❌

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/71

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/72

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/appm_gradetds/105

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/econ_gradetds/63

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholar.colorado.edu/ecen_gradetds/74

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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