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You searched for +publisher:"University of Colorado" +contributor:("Vanja Dukic"). Showing records 1 – 19 of 19 total matches.

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University of Colorado

1. Virkar, Yogesh S. Power-Law Distributions and Binned Empirical data.

Degree: MS, Computer Science, 2012, University of Colorado

  Many man-made and natural phenomenon, including the intensity of earthquakes, population of cities, and sizes of wars, are believed to follow power-law distributions, and… (more)

Subjects/Keywords: Binned data; Heavy-tailed distribution; Power law; Applied Mathematics; Computer Sciences

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APA (6th Edition):

Virkar, Y. S. (2012). Power-Law Distributions and Binned Empirical data. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/52

Chicago Manual of Style (16th Edition):

Virkar, Yogesh S. “Power-Law Distributions and Binned Empirical data.” 2012. Masters Thesis, University of Colorado. Accessed April 10, 2020. https://scholar.colorado.edu/csci_gradetds/52.

MLA Handbook (7th Edition):

Virkar, Yogesh S. “Power-Law Distributions and Binned Empirical data.” 2012. Web. 10 Apr 2020.

Vancouver:

Virkar YS. Power-Law Distributions and Binned Empirical data. [Internet] [Masters thesis]. University of Colorado; 2012. [cited 2020 Apr 10]. Available from: https://scholar.colorado.edu/csci_gradetds/52.

Council of Science Editors:

Virkar YS. Power-Law Distributions and Binned Empirical data. [Masters Thesis]. University of Colorado; 2012. Available from: https://scholar.colorado.edu/csci_gradetds/52


University of Colorado

2. 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 April 10, 2020. https://scholar.colorado.edu/appm_gradetds/50.

MLA Handbook (7th Edition):

Aicher, Christopher Vinyu. “The Weighted Stochastic Block Model.” 2014. Web. 10 Apr 2020.

Vancouver:

Aicher CV. The Weighted Stochastic Block Model. [Internet] [Masters thesis]. University of Colorado; 2014. [cited 2020 Apr 10]. 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

3. 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 April 10, 2020. https://scholar.colorado.edu/appm_gradetds/74.

MLA Handbook (7th Edition):

Olson, Branden. “Stochastic Weather Generation with Approximate Bayesian Computation.” 2016. Web. 10 Apr 2020.

Vancouver:

Olson B. Stochastic Weather Generation with Approximate Bayesian Computation. [Internet] [Masters thesis]. University of Colorado; 2016. [cited 2020 Apr 10]. 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

4. Kissler, Stephen Michael. Personalized Control of Diabetes Using a Two-Delay Model.

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

 Diabetes cases worldwide have risen steadily over the past decades, lending urgency to the search for more efficient, effective, and personalized ways to treat the… (more)

Subjects/Keywords: Artificial Pancreas; Blood Glucose; Delay Differential Equations; Personalized Medicine; Ultradian Oscillations; Endocrinology; Mathematics; Physiology

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APA (6th Edition):

Kissler, S. M. (2014). Personalized Control of Diabetes Using a Two-Delay Model. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/76

Chicago Manual of Style (16th Edition):

Kissler, Stephen Michael. “Personalized Control of Diabetes Using a Two-Delay Model.” 2014. Masters Thesis, University of Colorado. Accessed April 10, 2020. https://scholar.colorado.edu/appm_gradetds/76.

MLA Handbook (7th Edition):

Kissler, Stephen Michael. “Personalized Control of Diabetes Using a Two-Delay Model.” 2014. Web. 10 Apr 2020.

Vancouver:

Kissler SM. Personalized Control of Diabetes Using a Two-Delay Model. [Internet] [Masters thesis]. University of Colorado; 2014. [cited 2020 Apr 10]. Available from: https://scholar.colorado.edu/appm_gradetds/76.

Council of Science Editors:

Kissler SM. Personalized Control of Diabetes Using a Two-Delay Model. [Masters Thesis]. University of Colorado; 2014. Available from: https://scholar.colorado.edu/appm_gradetds/76


University of Colorado

5. Stotsky, Jay Alexander. Mathematical and Computational Studies of the Biomechanics of Biofilms.

Degree: PhD, 2018, University of Colorado

 Bacterial biofilms are communities of bacteria growing on a surface to which they have adhered, typically in an aqueous environment. The motivation to understand biofilm… (more)

Subjects/Keywords: a posteriori error analysis; biofilms; immersed boundary method; mathematical biology; point processes; Applied Mathematics; Biomechanics

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APA (6th Edition):

Stotsky, J. A. (2018). Mathematical and Computational Studies of the Biomechanics of Biofilms. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/107

Chicago Manual of Style (16th Edition):

Stotsky, Jay Alexander. “Mathematical and Computational Studies of the Biomechanics of Biofilms.” 2018. Doctoral Dissertation, University of Colorado. Accessed April 10, 2020. https://scholar.colorado.edu/appm_gradetds/107.

MLA Handbook (7th Edition):

Stotsky, Jay Alexander. “Mathematical and Computational Studies of the Biomechanics of Biofilms.” 2018. Web. 10 Apr 2020.

Vancouver:

Stotsky JA. Mathematical and Computational Studies of the Biomechanics of Biofilms. [Internet] [Doctoral dissertation]. University of Colorado; 2018. [cited 2020 Apr 10]. Available from: https://scholar.colorado.edu/appm_gradetds/107.

Council of Science Editors:

Stotsky JA. Mathematical and Computational Studies of the Biomechanics of Biofilms. [Doctoral Dissertation]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/appm_gradetds/107


University of Colorado

6. Nardini, John Thomas. Partial Differential Equation Models of Collective Migration During Wound Healing.

Degree: PhD, 2018, University of Colorado

  This dissertation is concerned with the derivation, analysis, and parameter inference of mathematical models of the collective migration of epithelial cells. During the wound… (more)

Subjects/Keywords: collective migration; inverse problems; partial differential equations; traveling waves; wound healing; Mathematics; Partial Differential Equations

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APA (6th Edition):

Nardini, J. T. (2018). Partial Differential Equation Models of Collective Migration During Wound Healing. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/117

Chicago Manual of Style (16th Edition):

Nardini, John Thomas. “Partial Differential Equation Models of Collective Migration During Wound Healing.” 2018. Doctoral Dissertation, University of Colorado. Accessed April 10, 2020. https://scholar.colorado.edu/appm_gradetds/117.

MLA Handbook (7th Edition):

Nardini, John Thomas. “Partial Differential Equation Models of Collective Migration During Wound Healing.” 2018. Web. 10 Apr 2020.

Vancouver:

Nardini JT. Partial Differential Equation Models of Collective Migration During Wound Healing. [Internet] [Doctoral dissertation]. University of Colorado; 2018. [cited 2020 Apr 10]. Available from: https://scholar.colorado.edu/appm_gradetds/117.

Council of Science Editors:

Nardini JT. Partial Differential Equation Models of Collective Migration During Wound Healing. [Doctoral Dissertation]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/appm_gradetds/117


University of Colorado

7. Gronski, Jessica. Non-Convex Optimization and Applications to Bilinear Programming and Super-Resolution Imaging.

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

  Bilinear programs and Phase Retrieval are two instances of nonconvex problems that arise in engineering and physical applications, and both occur with their fundamental… (more)

Subjects/Keywords: nonconvex optimization; bilinear programming; quadratic programming; super-resolution imaging; Applied Mathematics

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APA (6th Edition):

Gronski, J. (2019). Non-Convex Optimization and Applications to Bilinear Programming and Super-Resolution Imaging. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/142

Chicago Manual of Style (16th Edition):

Gronski, Jessica. “Non-Convex Optimization and Applications to Bilinear Programming and Super-Resolution Imaging.” 2019. Doctoral Dissertation, University of Colorado. Accessed April 10, 2020. https://scholar.colorado.edu/appm_gradetds/142.

MLA Handbook (7th Edition):

Gronski, Jessica. “Non-Convex Optimization and Applications to Bilinear Programming and Super-Resolution Imaging.” 2019. Web. 10 Apr 2020.

Vancouver:

Gronski J. Non-Convex Optimization and Applications to Bilinear Programming and Super-Resolution Imaging. [Internet] [Doctoral dissertation]. University of Colorado; 2019. [cited 2020 Apr 10]. Available from: https://scholar.colorado.edu/appm_gradetds/142.

Council of Science Editors:

Gronski J. Non-Convex Optimization and Applications to Bilinear Programming and Super-Resolution Imaging. [Doctoral Dissertation]. University of Colorado; 2019. Available from: https://scholar.colorado.edu/appm_gradetds/142


University of Colorado

8. Gronski, Jessica. Non-Convex Optimization and Applications to Bilinear Programming and Super-Resolution Imaging.

Degree: PhD, 2019, University of Colorado

  Bilinear programs and Phase Retrieval are two instances of nonconvex problems that arise in engineering and physical applications, and both occur with their fundamental… (more)

Subjects/Keywords: bilinear programming; non-convex optimization; quadratic programming; super-resolution imaging; Applied Mathematics; Computer Sciences; Optics

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APA (6th Edition):

Gronski, J. (2019). Non-Convex Optimization and Applications to Bilinear Programming and Super-Resolution Imaging. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/154

Chicago Manual of Style (16th Edition):

Gronski, Jessica. “Non-Convex Optimization and Applications to Bilinear Programming and Super-Resolution Imaging.” 2019. Doctoral Dissertation, University of Colorado. Accessed April 10, 2020. https://scholar.colorado.edu/appm_gradetds/154.

MLA Handbook (7th Edition):

Gronski, Jessica. “Non-Convex Optimization and Applications to Bilinear Programming and Super-Resolution Imaging.” 2019. Web. 10 Apr 2020.

Vancouver:

Gronski J. Non-Convex Optimization and Applications to Bilinear Programming and Super-Resolution Imaging. [Internet] [Doctoral dissertation]. University of Colorado; 2019. [cited 2020 Apr 10]. Available from: https://scholar.colorado.edu/appm_gradetds/154.

Council of Science Editors:

Gronski J. Non-Convex Optimization and Applications to Bilinear Programming and Super-Resolution Imaging. [Doctoral Dissertation]. University of Colorado; 2019. Available from: https://scholar.colorado.edu/appm_gradetds/154


University of Colorado

9. Jaiantilal, Abhishek. Feature Selection by Iterative Reweighting: An Exploration of Algorithms for Linear Models and Random Forests.

Degree: PhD, Computer Science, 2013, University of Colorado

  In many areas of machine learning and data science, the available data are represented as vectors of feature values. Some of these features are… (more)

Subjects/Keywords: Feature Importance; Feature Selection; Iterative Reweighting; L1 L2 Linear Models; Machine Learning; Random Forests; Computer Sciences; Statistics and Probability

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APA (6th Edition):

Jaiantilal, A. (2013). Feature Selection by Iterative Reweighting: An Exploration of Algorithms for Linear Models and Random Forests. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/73

Chicago Manual of Style (16th Edition):

Jaiantilal, Abhishek. “Feature Selection by Iterative Reweighting: An Exploration of Algorithms for Linear Models and Random Forests.” 2013. Doctoral Dissertation, University of Colorado. Accessed April 10, 2020. https://scholar.colorado.edu/csci_gradetds/73.

MLA Handbook (7th Edition):

Jaiantilal, Abhishek. “Feature Selection by Iterative Reweighting: An Exploration of Algorithms for Linear Models and Random Forests.” 2013. Web. 10 Apr 2020.

Vancouver:

Jaiantilal A. Feature Selection by Iterative Reweighting: An Exploration of Algorithms for Linear Models and Random Forests. [Internet] [Doctoral dissertation]. University of Colorado; 2013. [cited 2020 Apr 10]. Available from: https://scholar.colorado.edu/csci_gradetds/73.

Council of Science Editors:

Jaiantilal A. Feature Selection by Iterative Reweighting: An Exploration of Algorithms for Linear Models and Random Forests. [Doctoral Dissertation]. University of Colorado; 2013. Available from: https://scholar.colorado.edu/csci_gradetds/73


University of Colorado

10. Zhang, Yanbao. Analysis of Tests of Local Realism.

Degree: PhD, Physics, 2013, University of Colorado

  Reliable and loophole-free demonstrations of the violation of local realism (LR) are highly desirable not only for understanding the foundation of quantum mechanics but… (more)

Subjects/Keywords: Bell inequality; Bell test; Local realism; p-value; Statistical strength; Other Physics; Physics; Quantum Physics

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APA (6th Edition):

Zhang, Y. (2013). Analysis of Tests of Local Realism. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/phys_gradetds/95

Chicago Manual of Style (16th Edition):

Zhang, Yanbao. “Analysis of Tests of Local Realism.” 2013. Doctoral Dissertation, University of Colorado. Accessed April 10, 2020. https://scholar.colorado.edu/phys_gradetds/95.

MLA Handbook (7th Edition):

Zhang, Yanbao. “Analysis of Tests of Local Realism.” 2013. Web. 10 Apr 2020.

Vancouver:

Zhang Y. Analysis of Tests of Local Realism. [Internet] [Doctoral dissertation]. University of Colorado; 2013. [cited 2020 Apr 10]. Available from: https://scholar.colorado.edu/phys_gradetds/95.

Council of Science Editors:

Zhang Y. Analysis of Tests of Local Realism. [Doctoral Dissertation]. University of Colorado; 2013. Available from: https://scholar.colorado.edu/phys_gradetds/95


University of Colorado

11. Meier, Adam Matthias. Randomized Benchmarking of Clifford Operators.

Degree: PhD, Physics, 2013, University of Colorado

  Randomized benchmarking is an experimental procedure intended to demonstrate control of quantum systems. The procedure extracts the average error introduced by a set of… (more)

Subjects/Keywords: Clifford; quantum computer; randomized benchmarking; Physics; Quantum Physics

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APA (6th Edition):

Meier, A. M. (2013). Randomized Benchmarking of Clifford Operators. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/phys_gradetds/105

Chicago Manual of Style (16th Edition):

Meier, Adam Matthias. “Randomized Benchmarking of Clifford Operators.” 2013. Doctoral Dissertation, University of Colorado. Accessed April 10, 2020. https://scholar.colorado.edu/phys_gradetds/105.

MLA Handbook (7th Edition):

Meier, Adam Matthias. “Randomized Benchmarking of Clifford Operators.” 2013. Web. 10 Apr 2020.

Vancouver:

Meier AM. Randomized Benchmarking of Clifford Operators. [Internet] [Doctoral dissertation]. University of Colorado; 2013. [cited 2020 Apr 10]. Available from: https://scholar.colorado.edu/phys_gradetds/105.

Council of Science Editors:

Meier AM. Randomized Benchmarking of Clifford Operators. [Doctoral Dissertation]. University of Colorado; 2013. Available from: https://scholar.colorado.edu/phys_gradetds/105


University of Colorado

12. Hosseinmardi, Homa. Multimodal Labeling and Characterization of Social Network Data for Detection and Prediction of Cyberbullying.

Degree: PhD, Computer Science, 2016, University of Colorado

  This dissertation provides insight into the problem cyberbullying in social networks by investigating profanity usage, ground truth labeling of cyberbullying, and characterization of relationships… (more)

Subjects/Keywords: cyberbullying detection; data mining; Computer Sciences

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APA (6th Edition):

Hosseinmardi, H. (2016). Multimodal Labeling and Characterization of Social Network Data for Detection and Prediction of Cyberbullying. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/111

Chicago Manual of Style (16th Edition):

Hosseinmardi, Homa. “Multimodal Labeling and Characterization of Social Network Data for Detection and Prediction of Cyberbullying.” 2016. Doctoral Dissertation, University of Colorado. Accessed April 10, 2020. https://scholar.colorado.edu/csci_gradetds/111.

MLA Handbook (7th Edition):

Hosseinmardi, Homa. “Multimodal Labeling and Characterization of Social Network Data for Detection and Prediction of Cyberbullying.” 2016. Web. 10 Apr 2020.

Vancouver:

Hosseinmardi H. Multimodal Labeling and Characterization of Social Network Data for Detection and Prediction of Cyberbullying. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2020 Apr 10]. Available from: https://scholar.colorado.edu/csci_gradetds/111.

Council of Science Editors:

Hosseinmardi H. Multimodal Labeling and Characterization of Social Network Data for Detection and Prediction of Cyberbullying. [Doctoral Dissertation]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/csci_gradetds/111


University of Colorado

13. Zhou, Shan. Estimation of a Nonparametric Model of Profit Frontiers with an Application for the Swedish Paper Industry.

Degree: PhD, Economics, 2016, University of Colorado

  In this thesis, I focus on the nonparametric estimation of the profit frontier, a topic which has been rarely addressed but with many potential… (more)

Subjects/Keywords: Efficiency analysis; Nonparametric conditional quantile estimation; Profit function; Economics; Finance and Financial Management; Growth and Development

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APA (6th Edition):

Zhou, S. (2016). Estimation of a Nonparametric Model of Profit Frontiers with an Application for the Swedish Paper Industry. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/econ_gradetds/69

Chicago Manual of Style (16th Edition):

Zhou, Shan. “Estimation of a Nonparametric Model of Profit Frontiers with an Application for the Swedish Paper Industry.” 2016. Doctoral Dissertation, University of Colorado. Accessed April 10, 2020. https://scholar.colorado.edu/econ_gradetds/69.

MLA Handbook (7th Edition):

Zhou, Shan. “Estimation of a Nonparametric Model of Profit Frontiers with an Application for the Swedish Paper Industry.” 2016. Web. 10 Apr 2020.

Vancouver:

Zhou S. Estimation of a Nonparametric Model of Profit Frontiers with an Application for the Swedish Paper Industry. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2020 Apr 10]. Available from: https://scholar.colorado.edu/econ_gradetds/69.

Council of Science Editors:

Zhou S. Estimation of a Nonparametric Model of Profit Frontiers with an Application for the Swedish Paper Industry. [Doctoral Dissertation]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/econ_gradetds/69


University of Colorado

14. Penner, Eric Matthew. An Essay in Semiparametric Structural Estimation.

Degree: PhD, Economics, 2017, University of Colorado

 I propose a multi-stage mixed sieve and kernel estimator for a partially linear regression model in a triangular system of equations. The model consists of… (more)

Subjects/Keywords: Endogeneity; Semiparametric Estimation; Statistics; Structural Estimation; Economic Theory; Statistical Models

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APA (6th Edition):

Penner, E. M. (2017). An Essay in Semiparametric Structural Estimation. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/econ_gradetds/76

Chicago Manual of Style (16th Edition):

Penner, Eric Matthew. “An Essay in Semiparametric Structural Estimation.” 2017. Doctoral Dissertation, University of Colorado. Accessed April 10, 2020. https://scholar.colorado.edu/econ_gradetds/76.

MLA Handbook (7th Edition):

Penner, Eric Matthew. “An Essay in Semiparametric Structural Estimation.” 2017. Web. 10 Apr 2020.

Vancouver:

Penner EM. An Essay in Semiparametric Structural Estimation. [Internet] [Doctoral dissertation]. University of Colorado; 2017. [cited 2020 Apr 10]. Available from: https://scholar.colorado.edu/econ_gradetds/76.

Council of Science Editors:

Penner EM. An Essay in Semiparametric Structural Estimation. [Doctoral Dissertation]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/econ_gradetds/76


University of Colorado

15. Bryant, Daniel S. Spawn Model Derivations for Multi-object Orbit Determination within a Random Finite Set Framework.

Degree: PhD, 2017, University of Colorado

 Fragmentation events and large scale small-sat deployments are a significant threat; because of the sudden creation of many new objects posing potential risks to existing… (more)

Subjects/Keywords: Bayesian estimation; generalized labeled multi-Bernoulli filter; multi-object filtering; multi-target tracking; object spawning; random finite sets; Aerospace Engineering

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APA (6th Edition):

Bryant, D. S. (2017). Spawn Model Derivations for Multi-object Orbit Determination within a Random Finite Set Framework. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/asen_gradetds/194

Chicago Manual of Style (16th Edition):

Bryant, Daniel S. “Spawn Model Derivations for Multi-object Orbit Determination within a Random Finite Set Framework.” 2017. Doctoral Dissertation, University of Colorado. Accessed April 10, 2020. https://scholar.colorado.edu/asen_gradetds/194.

MLA Handbook (7th Edition):

Bryant, Daniel S. “Spawn Model Derivations for Multi-object Orbit Determination within a Random Finite Set Framework.” 2017. Web. 10 Apr 2020.

Vancouver:

Bryant DS. Spawn Model Derivations for Multi-object Orbit Determination within a Random Finite Set Framework. [Internet] [Doctoral dissertation]. University of Colorado; 2017. [cited 2020 Apr 10]. Available from: https://scholar.colorado.edu/asen_gradetds/194.

Council of Science Editors:

Bryant DS. Spawn Model Derivations for Multi-object Orbit Determination within a Random Finite Set Framework. [Doctoral Dissertation]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/asen_gradetds/194


University of Colorado

16. Merritt, Sears. Dynamics and Structure in Competitive Social Systems.

Degree: PhD, Computer Science, 2013, University of Colorado

  Competition is ubiquitous in complex social systems, from informal online gaming environments to professional sports, to workers competing for jobs in the labor market.… (more)

Subjects/Keywords: Computer Sciences

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APA (6th Edition):

Merritt, S. (2013). Dynamics and Structure in Competitive Social Systems. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/95

Chicago Manual of Style (16th Edition):

Merritt, Sears. “Dynamics and Structure in Competitive Social Systems.” 2013. Doctoral Dissertation, University of Colorado. Accessed April 10, 2020. https://scholar.colorado.edu/csci_gradetds/95.

MLA Handbook (7th Edition):

Merritt, Sears. “Dynamics and Structure in Competitive Social Systems.” 2013. Web. 10 Apr 2020.

Vancouver:

Merritt S. Dynamics and Structure in Competitive Social Systems. [Internet] [Doctoral dissertation]. University of Colorado; 2013. [cited 2020 Apr 10]. Available from: https://scholar.colorado.edu/csci_gradetds/95.

Council of Science Editors:

Merritt S. Dynamics and Structure in Competitive Social Systems. [Doctoral Dissertation]. University of Colorado; 2013. Available from: https://scholar.colorado.edu/csci_gradetds/95


University of Colorado

17. Joseph, Maxwell B. Tools for the Occurrence of Free-Living and Symbiotic Organisms in Space and Time.

Degree: PhD, Ecology & Evolutionary Biology, 2016, University of Colorado

  This doctoral dissertation broadly aims to improve methods for understanding the occurrence of organisms in space and time, including organisms that cause disease. The… (more)

Subjects/Keywords: wildlife; hosts and symbbiont; Ecology and Evolutionary Biology

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APA (6th Edition):

Joseph, M. B. (2016). Tools for the Occurrence of Free-Living and Symbiotic Organisms in Space and Time. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/ebio_gradetds/79

Chicago Manual of Style (16th Edition):

Joseph, Maxwell B. “Tools for the Occurrence of Free-Living and Symbiotic Organisms in Space and Time.” 2016. Doctoral Dissertation, University of Colorado. Accessed April 10, 2020. https://scholar.colorado.edu/ebio_gradetds/79.

MLA Handbook (7th Edition):

Joseph, Maxwell B. “Tools for the Occurrence of Free-Living and Symbiotic Organisms in Space and Time.” 2016. Web. 10 Apr 2020.

Vancouver:

Joseph MB. Tools for the Occurrence of Free-Living and Symbiotic Organisms in Space and Time. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2020 Apr 10]. Available from: https://scholar.colorado.edu/ebio_gradetds/79.

Council of Science Editors:

Joseph MB. Tools for the Occurrence of Free-Living and Symbiotic Organisms in Space and Time. [Doctoral Dissertation]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/ebio_gradetds/79


University of Colorado

18. Wagner, David Erich. Adjoint-Based Probabilistic Method for Source Identification in Water Distribution Systems.

Degree: PhD, 2013, University of Colorado

  The events of September 11, 2001 have increased the focus on protecting utilities and infrastructure from acts of terrorism. For water utilities, this increased… (more)

Subjects/Keywords: adjoint method; probabilistic; source identification; water distribution system; Environmental Engineering; Water Resource Management

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

APA (6th Edition):

Wagner, D. E. (2013). Adjoint-Based Probabilistic Method for Source Identification in Water Distribution Systems. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/cven_gradetds/294

Chicago Manual of Style (16th Edition):

Wagner, David Erich. “Adjoint-Based Probabilistic Method for Source Identification in Water Distribution Systems.” 2013. Doctoral Dissertation, University of Colorado. Accessed April 10, 2020. https://scholar.colorado.edu/cven_gradetds/294.

MLA Handbook (7th Edition):

Wagner, David Erich. “Adjoint-Based Probabilistic Method for Source Identification in Water Distribution Systems.” 2013. Web. 10 Apr 2020.

Vancouver:

Wagner DE. Adjoint-Based Probabilistic Method for Source Identification in Water Distribution Systems. [Internet] [Doctoral dissertation]. University of Colorado; 2013. [cited 2020 Apr 10]. Available from: https://scholar.colorado.edu/cven_gradetds/294.

Council of Science Editors:

Wagner DE. Adjoint-Based Probabilistic Method for Source Identification in Water Distribution Systems. [Doctoral Dissertation]. University of Colorado; 2013. Available from: https://scholar.colorado.edu/cven_gradetds/294


University of Colorado

19. Romero, Henry Paul. Fundamental Limits of Network Communication with General Message Sets: A Combinatorial Approach.

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

  The classical theoretical framework for communication networks is based on the simplifying assumption that each message to be sent is known to a single… (more)

Subjects/Keywords: Information Theory; DM Multiple Access Channel; MIMO Multiple Access Channel; Broadcast Channel; Inteference Channel; Computer Sciences; Electrical and Computer Engineering; Mathematics

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

APA (6th Edition):

Romero, H. P. (2014). Fundamental Limits of Network Communication with General Message Sets: A Combinatorial Approach. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/61

Chicago Manual of Style (16th Edition):

Romero, Henry Paul. “Fundamental Limits of Network Communication with General Message Sets: A Combinatorial Approach.” 2014. Doctoral Dissertation, University of Colorado. Accessed April 10, 2020. https://scholar.colorado.edu/appm_gradetds/61.

MLA Handbook (7th Edition):

Romero, Henry Paul. “Fundamental Limits of Network Communication with General Message Sets: A Combinatorial Approach.” 2014. Web. 10 Apr 2020.

Vancouver:

Romero HP. Fundamental Limits of Network Communication with General Message Sets: A Combinatorial Approach. [Internet] [Doctoral dissertation]. University of Colorado; 2014. [cited 2020 Apr 10]. Available from: https://scholar.colorado.edu/appm_gradetds/61.

Council of Science Editors:

Romero HP. Fundamental Limits of Network Communication with General Message Sets: A Combinatorial Approach. [Doctoral Dissertation]. University of Colorado; 2014. Available from: https://scholar.colorado.edu/appm_gradetds/61

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