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University of North Carolina

1. Palowitch, John. Testing-Based Community Detection Methods for Complex Networks.

Degree: Statistics and Operations Research, 2017, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:fc817cb7-563c-4a74-9a40-ec7308cc6950

► Community detection is an exploratory method of grouping strongly connected nodes in a network, in most cases using only the network edge structure as a…
(more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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APA (6^{th} Edition):

Palowitch, J. (2017). Testing-Based Community Detection Methods for Complex Networks. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:fc817cb7-563c-4a74-9a40-ec7308cc6950

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Palowitch, John. “Testing-Based Community Detection Methods for Complex Networks.” 2017. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:fc817cb7-563c-4a74-9a40-ec7308cc6950.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Palowitch, John. “Testing-Based Community Detection Methods for Complex Networks.” 2017. Web. 29 Nov 2020.

Vancouver:

Palowitch J. Testing-Based Community Detection Methods for Complex Networks. [Internet] [Thesis]. University of North Carolina; 2017. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:fc817cb7-563c-4a74-9a40-ec7308cc6950.

Note: this citation may be lacking information needed for this citation format:

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Palowitch J. Testing-Based Community Detection Methods for Complex Networks. [Thesis]. University of North Carolina; 2017. Available from: https://cdr.lib.unc.edu/record/uuid:fc817cb7-563c-4a74-9a40-ec7308cc6950

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

2. Wang, Xuan. Some asymptotic problems for dynamical random graphs.

Degree: Statistics and Operations Research, 2014, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:84f40280-8e26-4825-9267-d97836e108aa

► This dissertation consists of two parts. In the first part we study the phase transition of a class of dynamical random graph processes, that evolve…
(more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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APA (6^{th} Edition):

Wang, X. (2014). Some asymptotic problems for dynamical random graphs. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:84f40280-8e26-4825-9267-d97836e108aa

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Wang, Xuan. “Some asymptotic problems for dynamical random graphs.” 2014. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:84f40280-8e26-4825-9267-d97836e108aa.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wang, Xuan. “Some asymptotic problems for dynamical random graphs.” 2014. Web. 29 Nov 2020.

Vancouver:

Wang X. Some asymptotic problems for dynamical random graphs. [Internet] [Thesis]. University of North Carolina; 2014. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:84f40280-8e26-4825-9267-d97836e108aa.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang X. Some asymptotic problems for dynamical random graphs. [Thesis]. University of North Carolina; 2014. Available from: https://cdr.lib.unc.edu/record/uuid:84f40280-8e26-4825-9267-d97836e108aa

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

3. Kechagias Athanasopoulos, Stefanos Theodoros. Studies in Multidimensional Stochastic Processes: Multivariate Long-Range Dependence and Synthesis of Gaussian Random Fields.

Degree: Statistics and Operations Research, 2015, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:1f48e06d-12a3-47c3-a8ef-8009f1c1d0e2

► This thesis is concerned with the study of multidimensional stochastic processes with special dependence structures. It is comprised of 3 parts. The first two parts…
(more)

Subjects/Keywords: Statistics; College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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APA (6^{th} Edition):

Kechagias Athanasopoulos, S. T. (2015). Studies in Multidimensional Stochastic Processes: Multivariate Long-Range Dependence and Synthesis of Gaussian Random Fields. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:1f48e06d-12a3-47c3-a8ef-8009f1c1d0e2

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Kechagias Athanasopoulos, Stefanos Theodoros. “Studies in Multidimensional Stochastic Processes: Multivariate Long-Range Dependence and Synthesis of Gaussian Random Fields.” 2015. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:1f48e06d-12a3-47c3-a8ef-8009f1c1d0e2.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Kechagias Athanasopoulos, Stefanos Theodoros. “Studies in Multidimensional Stochastic Processes: Multivariate Long-Range Dependence and Synthesis of Gaussian Random Fields.” 2015. Web. 29 Nov 2020.

Vancouver:

Kechagias Athanasopoulos ST. Studies in Multidimensional Stochastic Processes: Multivariate Long-Range Dependence and Synthesis of Gaussian Random Fields. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:1f48e06d-12a3-47c3-a8ef-8009f1c1d0e2.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kechagias Athanasopoulos ST. Studies in Multidimensional Stochastic Processes: Multivariate Long-Range Dependence and Synthesis of Gaussian Random Fields. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:1f48e06d-12a3-47c3-a8ef-8009f1c1d0e2

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

4. Katsoridas, Dimitris. Applications of Generalized Fiducial Inference in High Frequency Data.

Degree: Economics, 2015, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:9af35a1a-7c28-44a5-b7eb-839fccabf655

► Fiducial inference was introduced by R.A. Fisher Fisher (1930) as a response to the Bayesian approach to inference. The Bayesian paradigm begins by assuming a…
(more)

Subjects/Keywords: Economics; College of Arts and Sciences; Department of Economics

Record Details Similar Records

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APA (6^{th} Edition):

Katsoridas, D. (2015). Applications of Generalized Fiducial Inference in High Frequency Data. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:9af35a1a-7c28-44a5-b7eb-839fccabf655

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Katsoridas, Dimitris. “Applications of Generalized Fiducial Inference in High Frequency Data.” 2015. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:9af35a1a-7c28-44a5-b7eb-839fccabf655.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Katsoridas, Dimitris. “Applications of Generalized Fiducial Inference in High Frequency Data.” 2015. Web. 29 Nov 2020.

Vancouver:

Katsoridas D. Applications of Generalized Fiducial Inference in High Frequency Data. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:9af35a1a-7c28-44a5-b7eb-839fccabf655.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Katsoridas D. Applications of Generalized Fiducial Inference in High Frequency Data. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:9af35a1a-7c28-44a5-b7eb-839fccabf655

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

5. Wilson, James. STATISTICAL ANALYSIS OF RELATIONAL DATA: MINING AND MODELING COMPLEX NETWORKS.

Degree: Statistics and Operations Research, 2015, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:ab3e5658-2377-426d-a28c-e023fefcac92

► Networks have created many new and exciting areas of scientific inquiry, particularly in the field of statistics. The relational and often complex nature of network…
(more)

Subjects/Keywords: Statistics; College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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APA (6^{th} Edition):

Wilson, J. (2015). STATISTICAL ANALYSIS OF RELATIONAL DATA: MINING AND MODELING COMPLEX NETWORKS. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:ab3e5658-2377-426d-a28c-e023fefcac92

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Wilson, James. “STATISTICAL ANALYSIS OF RELATIONAL DATA: MINING AND MODELING COMPLEX NETWORKS.” 2015. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:ab3e5658-2377-426d-a28c-e023fefcac92.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wilson, James. “STATISTICAL ANALYSIS OF RELATIONAL DATA: MINING AND MODELING COMPLEX NETWORKS.” 2015. Web. 29 Nov 2020.

Vancouver:

Wilson J. STATISTICAL ANALYSIS OF RELATIONAL DATA: MINING AND MODELING COMPLEX NETWORKS. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:ab3e5658-2377-426d-a28c-e023fefcac92.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wilson J. STATISTICAL ANALYSIS OF RELATIONAL DATA: MINING AND MODELING COMPLEX NETWORKS. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:ab3e5658-2377-426d-a28c-e023fefcac92

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

6. Xie, Yuying. Estimation of Graphical Models with Biological Applications.

Degree: Statistics and Operations Research, 2015, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:e5e5d585-b8a9-4761-a5ad-85779d8a67f7

► Graphical models are widely used to represent the dependency relationship among random variables. In this dissertation, we have developed three statistical methodologies for estimating graphical…
(more)

Subjects/Keywords: Statistics; Bioinformatics; Genetics; College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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APA (6^{th} Edition):

Xie, Y. (2015). Estimation of Graphical Models with Biological Applications. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:e5e5d585-b8a9-4761-a5ad-85779d8a67f7

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Xie, Yuying. “Estimation of Graphical Models with Biological Applications.” 2015. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:e5e5d585-b8a9-4761-a5ad-85779d8a67f7.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Xie, Yuying. “Estimation of Graphical Models with Biological Applications.” 2015. Web. 29 Nov 2020.

Vancouver:

Xie Y. Estimation of Graphical Models with Biological Applications. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:e5e5d585-b8a9-4761-a5ad-85779d8a67f7.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xie Y. Estimation of Graphical Models with Biological Applications. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:e5e5d585-b8a9-4761-a5ad-85779d8a67f7

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

7. Shi, Wen. Bayesian Viral Substitution Analysis and Covariance Estimation via Generalized Fiducial Inference.

Degree: Statistics and Operations Research, 2015, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:94677ad7-b671-4aec-a084-2470f50eaf1f

► With the advances in biology and computing technologies, there have been increasing amount of big bio data awaiting to be analyzed. Aiming to develop statistical…
(more)

Subjects/Keywords: Statistics; Bioinformatics; College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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APA (6^{th} Edition):

Shi, W. (2015). Bayesian Viral Substitution Analysis and Covariance Estimation via Generalized Fiducial Inference. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:94677ad7-b671-4aec-a084-2470f50eaf1f

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Shi, Wen. “Bayesian Viral Substitution Analysis and Covariance Estimation via Generalized Fiducial Inference.” 2015. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:94677ad7-b671-4aec-a084-2470f50eaf1f.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Shi, Wen. “Bayesian Viral Substitution Analysis and Covariance Estimation via Generalized Fiducial Inference.” 2015. Web. 29 Nov 2020.

Vancouver:

Shi W. Bayesian Viral Substitution Analysis and Covariance Estimation via Generalized Fiducial Inference. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:94677ad7-b671-4aec-a084-2470f50eaf1f.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shi W. Bayesian Viral Substitution Analysis and Covariance Estimation via Generalized Fiducial Inference. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:94677ad7-b671-4aec-a084-2470f50eaf1f

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

8. Liu, Minghui. Elementary reformulation and succinct certificates in conic linear programming.

Degree: Statistics and Operations Research, 2015, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:3dc3048c-684b-484f-a9f8-ab40d7f2aa2b

► The first part of this thesis deals with infeasibility in semidefinite programs (SDPs). In SDP, unlike in linear programming, Farkas’ lemma may fail to prove…
(more)

Subjects/Keywords: Operations research; Mathematics; College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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APA (6^{th} Edition):

Liu, M. (2015). Elementary reformulation and succinct certificates in conic linear programming. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:3dc3048c-684b-484f-a9f8-ab40d7f2aa2b

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Liu, Minghui. “Elementary reformulation and succinct certificates in conic linear programming.” 2015. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:3dc3048c-684b-484f-a9f8-ab40d7f2aa2b.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Liu, Minghui. “Elementary reformulation and succinct certificates in conic linear programming.” 2015. Web. 29 Nov 2020.

Vancouver:

Liu M. Elementary reformulation and succinct certificates in conic linear programming. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:3dc3048c-684b-484f-a9f8-ab40d7f2aa2b.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu M. Elementary reformulation and succinct certificates in conic linear programming. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:3dc3048c-684b-484f-a9f8-ab40d7f2aa2b

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

9. Reinhold, Dominik. Asymptotic Behavior of Near Critical Branching Processes and Modeling of Cell Growth Data.

Degree: Statistics and Operations Research, 2011, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:d032d0d0-8084-4791-b0a9-7c4382cbfd0d

► This dissertation is composed of two parts, a theoretical part, in which certain asymptotic properties of near critical branching processes are studied, and an applied…
(more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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APA (6^{th} Edition):

Reinhold, D. (2011). Asymptotic Behavior of Near Critical Branching Processes and Modeling of Cell Growth Data. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:d032d0d0-8084-4791-b0a9-7c4382cbfd0d

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Reinhold, Dominik. “Asymptotic Behavior of Near Critical Branching Processes and Modeling of Cell Growth Data.” 2011. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:d032d0d0-8084-4791-b0a9-7c4382cbfd0d.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Reinhold, Dominik. “Asymptotic Behavior of Near Critical Branching Processes and Modeling of Cell Growth Data.” 2011. Web. 29 Nov 2020.

Vancouver:

Reinhold D. Asymptotic Behavior of Near Critical Branching Processes and Modeling of Cell Growth Data. [Internet] [Thesis]. University of North Carolina; 2011. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:d032d0d0-8084-4791-b0a9-7c4382cbfd0d.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Reinhold D. Asymptotic Behavior of Near Critical Branching Processes and Modeling of Cell Growth Data. [Thesis]. University of North Carolina; 2011. Available from: https://cdr.lib.unc.edu/record/uuid:d032d0d0-8084-4791-b0a9-7c4382cbfd0d

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

10. Shen, Dan. Sparse PCA Asymptotics and Analysis of Tree Data.

Degree: Statistics and Operations Research, 2012, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:56b44721-60b4-4277-a795-19bf120d2a81

► This research covers two major areas. The first one is asymptotic properties of Principal Component Analysis (PCA) and sparse PCA. The second one is the…
(more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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APA (6^{th} Edition):

Shen, D. (2012). Sparse PCA Asymptotics and Analysis of Tree Data. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:56b44721-60b4-4277-a795-19bf120d2a81

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Shen, Dan. “Sparse PCA Asymptotics and Analysis of Tree Data.” 2012. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:56b44721-60b4-4277-a795-19bf120d2a81.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Shen, Dan. “Sparse PCA Asymptotics and Analysis of Tree Data.” 2012. Web. 29 Nov 2020.

Vancouver:

Shen D. Sparse PCA Asymptotics and Analysis of Tree Data. [Internet] [Thesis]. University of North Carolina; 2012. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:56b44721-60b4-4277-a795-19bf120d2a81.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shen D. Sparse PCA Asymptotics and Analysis of Tree Data. [Thesis]. University of North Carolina; 2012. Available from: https://cdr.lib.unc.edu/record/uuid:56b44721-60b4-4277-a795-19bf120d2a81

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

11. Yu, Guan. Flexible Supervised Learning Techniques with Applications in Neuroscience.

Degree: Statistics and Operations Research, 2016, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:6c475be3-e270-4a1b-87df-8de4368f0616

► Supervised learning techniques have been widely used in diverse scientific disciplines such as biology and neuroscience. Among the existing supervised learning techniques, penalized regression is…
(more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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APA (6^{th} Edition):

Yu, G. (2016). Flexible Supervised Learning Techniques with Applications in Neuroscience. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:6c475be3-e270-4a1b-87df-8de4368f0616

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Yu, Guan. “Flexible Supervised Learning Techniques with Applications in Neuroscience.” 2016. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:6c475be3-e270-4a1b-87df-8de4368f0616.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Yu, Guan. “Flexible Supervised Learning Techniques with Applications in Neuroscience.” 2016. Web. 29 Nov 2020.

Vancouver:

Yu G. Flexible Supervised Learning Techniques with Applications in Neuroscience. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:6c475be3-e270-4a1b-87df-8de4368f0616.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yu G. Flexible Supervised Learning Techniques with Applications in Neuroscience. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:6c475be3-e270-4a1b-87df-8de4368f0616

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

12. Jin, Jimmy. Inhomogeneous Branching Processes: A Tale of Two Networks.

Degree: Statistics and Operations Research, 2017, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:d489c99f-47af-450b-b96b-e86875fdce1e

► A basic theme in probability is the use of simple approximations to study complex systems. In this thesis we leverage the humble branching process to…
(more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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APA (6^{th} Edition):

Jin, J. (2017). Inhomogeneous Branching Processes: A Tale of Two Networks. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:d489c99f-47af-450b-b96b-e86875fdce1e

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Jin, Jimmy. “Inhomogeneous Branching Processes: A Tale of Two Networks.” 2017. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:d489c99f-47af-450b-b96b-e86875fdce1e.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Jin, Jimmy. “Inhomogeneous Branching Processes: A Tale of Two Networks.” 2017. Web. 29 Nov 2020.

Vancouver:

Jin J. Inhomogeneous Branching Processes: A Tale of Two Networks. [Internet] [Thesis]. University of North Carolina; 2017. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:d489c99f-47af-450b-b96b-e86875fdce1e.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jin J. Inhomogeneous Branching Processes: A Tale of Two Networks. [Thesis]. University of North Carolina; 2017. Available from: https://cdr.lib.unc.edu/record/uuid:d489c99f-47af-450b-b96b-e86875fdce1e

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

13. Bodwin, Kelly. Methods of Association Mining by Variable-to-Set Affinity Testing.

Degree: Statistics and Operations Research, 2017, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:de606a1c-f85d-45d5-9767-c5b06063aa29

► Statistical data mining refers to methods for identifying and validating interesting patterns from an overabundance of data. Data mining tasks in which the objective involves…
(more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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

APA (6^{th} Edition):

Bodwin, K. (2017). Methods of Association Mining by Variable-to-Set Affinity Testing. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:de606a1c-f85d-45d5-9767-c5b06063aa29

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Bodwin, Kelly. “Methods of Association Mining by Variable-to-Set Affinity Testing.” 2017. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:de606a1c-f85d-45d5-9767-c5b06063aa29.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Bodwin, Kelly. “Methods of Association Mining by Variable-to-Set Affinity Testing.” 2017. Web. 29 Nov 2020.

Vancouver:

Bodwin K. Methods of Association Mining by Variable-to-Set Affinity Testing. [Internet] [Thesis]. University of North Carolina; 2017. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:de606a1c-f85d-45d5-9767-c5b06063aa29.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bodwin K. Methods of Association Mining by Variable-to-Set Affinity Testing. [Thesis]. University of North Carolina; 2017. Available from: https://cdr.lib.unc.edu/record/uuid:de606a1c-f85d-45d5-9767-c5b06063aa29

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

14. Liu, Yunxiao. SEMIPARAMETRIC INFERENCE FOR INTEGRATED VOLATILITY FUNCTIONALS USING HIGH-FREQUENCY FINANCIAL DATA.

Degree: Statistics and Operations Research, 2017, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:1fe7c3d7-f195-4e29-aa69-e400c00e8aca

► With the advent of intraday high-frequency data of financial assets since the late 1990s, the research of financial econometrics has entered into a "big data"…
(more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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APA (6^{th} Edition):

Liu, Y. (2017). SEMIPARAMETRIC INFERENCE FOR INTEGRATED VOLATILITY FUNCTIONALS USING HIGH-FREQUENCY FINANCIAL DATA. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:1fe7c3d7-f195-4e29-aa69-e400c00e8aca

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Liu, Yunxiao. “SEMIPARAMETRIC INFERENCE FOR INTEGRATED VOLATILITY FUNCTIONALS USING HIGH-FREQUENCY FINANCIAL DATA.” 2017. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:1fe7c3d7-f195-4e29-aa69-e400c00e8aca.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Liu, Yunxiao. “SEMIPARAMETRIC INFERENCE FOR INTEGRATED VOLATILITY FUNCTIONALS USING HIGH-FREQUENCY FINANCIAL DATA.” 2017. Web. 29 Nov 2020.

Vancouver:

Liu Y. SEMIPARAMETRIC INFERENCE FOR INTEGRATED VOLATILITY FUNCTIONALS USING HIGH-FREQUENCY FINANCIAL DATA. [Internet] [Thesis]. University of North Carolina; 2017. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:1fe7c3d7-f195-4e29-aa69-e400c00e8aca.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu Y. SEMIPARAMETRIC INFERENCE FOR INTEGRATED VOLATILITY FUNCTIONALS USING HIGH-FREQUENCY FINANCIAL DATA. [Thesis]. University of North Carolina; 2017. Available from: https://cdr.lib.unc.edu/record/uuid:1fe7c3d7-f195-4e29-aa69-e400c00e8aca

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

15. Friedlander, Eric. Mean-Field Methods in Large Stochastic Networks.

Degree: Statistics and Operations Research, 2018, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:46f70673-d033-4f6f-9edb-d0d6681b1f19

► Analysis of large-scale communication networks (e.g. ad hoc wireless networks, cloud computing systems, server networks etc.) is of great practical interest. The massive size of…
(more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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

APA (6^{th} Edition):

Friedlander, E. (2018). Mean-Field Methods in Large Stochastic Networks. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:46f70673-d033-4f6f-9edb-d0d6681b1f19

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Friedlander, Eric. “Mean-Field Methods in Large Stochastic Networks.” 2018. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:46f70673-d033-4f6f-9edb-d0d6681b1f19.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Friedlander, Eric. “Mean-Field Methods in Large Stochastic Networks.” 2018. Web. 29 Nov 2020.

Vancouver:

Friedlander E. Mean-Field Methods in Large Stochastic Networks. [Internet] [Thesis]. University of North Carolina; 2018. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:46f70673-d033-4f6f-9edb-d0d6681b1f19.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Friedlander E. Mean-Field Methods in Large Stochastic Networks. [Thesis]. University of North Carolina; 2018. Available from: https://cdr.lib.unc.edu/record/uuid:46f70673-d033-4f6f-9edb-d0d6681b1f19

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

16. CHAKRABORTY, SUMAN. DENSE GRAPH LIMITS AND APPLICATIONS.

Degree: Statistics and Operations Research, 2018, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:d9393a6b-13c4-4755-92f7-0186b280a11f

► In recent years, there has been a growing need to understand large networks and to devise effective strategies to analyze them. In this dissertation, our…
(more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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APA (6^{th} Edition):

CHAKRABORTY, S. (2018). DENSE GRAPH LIMITS AND APPLICATIONS. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:d9393a6b-13c4-4755-92f7-0186b280a11f

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

CHAKRABORTY, SUMAN. “DENSE GRAPH LIMITS AND APPLICATIONS.” 2018. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:d9393a6b-13c4-4755-92f7-0186b280a11f.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

CHAKRABORTY, SUMAN. “DENSE GRAPH LIMITS AND APPLICATIONS.” 2018. Web. 29 Nov 2020.

Vancouver:

CHAKRABORTY S. DENSE GRAPH LIMITS AND APPLICATIONS. [Internet] [Thesis]. University of North Carolina; 2018. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:d9393a6b-13c4-4755-92f7-0186b280a11f.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

CHAKRABORTY S. DENSE GRAPH LIMITS AND APPLICATIONS. [Thesis]. University of North Carolina; 2018. Available from: https://cdr.lib.unc.edu/record/uuid:d9393a6b-13c4-4755-92f7-0186b280a11f

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

17. Feng, Qing. Statistical integration of information.

Degree: Statistics and Operations Research, 2016, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:353a44c4-1176-4ac1-b825-7532cb2e454b

► Modern data analysis frequently involves multiple large and diverse data sets generated from current high-throughput technologies. An integrative analysis of these sources of information is…
(more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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

APA (6^{th} Edition):

Feng, Q. (2016). Statistical integration of information. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:353a44c4-1176-4ac1-b825-7532cb2e454b

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Feng, Qing. “Statistical integration of information.” 2016. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:353a44c4-1176-4ac1-b825-7532cb2e454b.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Feng, Qing. “Statistical integration of information.” 2016. Web. 29 Nov 2020.

Vancouver:

Feng Q. Statistical integration of information. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:353a44c4-1176-4ac1-b825-7532cb2e454b.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Feng Q. Statistical integration of information. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:353a44c4-1176-4ac1-b825-7532cb2e454b

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

18. Lee, Hsuan-Wei. Dynamics and Social Clustering on Coevolving Networks.

Degree: Mathematics, 2016, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:78ff9d44-e653-43ae-9286-227ca0f1c29f

► Complex networks offer a powerful conceptual framework for the description and analysis of many real world systems. Many processes have been formed into networks in…
(more)

Subjects/Keywords: College of Arts and Sciences; Department of Mathematics

Record Details Similar Records

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

APA (6^{th} Edition):

Lee, H. (2016). Dynamics and Social Clustering on Coevolving Networks. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:78ff9d44-e653-43ae-9286-227ca0f1c29f

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Lee, Hsuan-Wei. “Dynamics and Social Clustering on Coevolving Networks.” 2016. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:78ff9d44-e653-43ae-9286-227ca0f1c29f.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Lee, Hsuan-Wei. “Dynamics and Social Clustering on Coevolving Networks.” 2016. Web. 29 Nov 2020.

Vancouver:

Lee H. Dynamics and Social Clustering on Coevolving Networks. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:78ff9d44-e653-43ae-9286-227ca0f1c29f.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lee H. Dynamics and Social Clustering on Coevolving Networks. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:78ff9d44-e653-43ae-9286-227ca0f1c29f

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

19. Wu, Ruoyu. Some Asymptotic Results for Weakly Interacting Particle Systems.

Degree: Statistics and Operations Research, 2016, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:9190cdc1-052b-4426-a962-7f09bbc49121

► Weakly interacting particle systems have been widely used as models in many areas, including, but not limited to, communication systems, mathematical finance, chemical and biological…
(more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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

APA (6^{th} Edition):

Wu, R. (2016). Some Asymptotic Results for Weakly Interacting Particle Systems. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:9190cdc1-052b-4426-a962-7f09bbc49121

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Wu, Ruoyu. “Some Asymptotic Results for Weakly Interacting Particle Systems.” 2016. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:9190cdc1-052b-4426-a962-7f09bbc49121.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Wu, Ruoyu. “Some Asymptotic Results for Weakly Interacting Particle Systems.” 2016. Web. 29 Nov 2020.

Vancouver:

Wu R. Some Asymptotic Results for Weakly Interacting Particle Systems. [Internet] [Thesis]. University of North Carolina; 2016. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:9190cdc1-052b-4426-a962-7f09bbc49121.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wu R. Some Asymptotic Results for Weakly Interacting Particle Systems. [Thesis]. University of North Carolina; 2016. Available from: https://cdr.lib.unc.edu/record/uuid:9190cdc1-052b-4426-a962-7f09bbc49121

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

20. Pal Majumder, Abhishek. LONG TIME ASYMPTOTICS OF SOME WEAKLY INTERACTING PARTICLE SYSTEMS AND HIGHER ORDER ASYMPTOTICS OF GENERALIZED FIDUCIAL DISTRIBUTION.

Degree: Statistics and Operations Research, 2015, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:436bb3c9-b56c-4742-8135-5a5095a84cc5

► In probability and statistics limit theorems are some of the fundamental tools that rigorously justify a proposed approximation procedure. However, typically such results fail to…
(more)

Subjects/Keywords: Statistics; Mechanics, Applied – Mathematics; College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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

APA (6^{th} Edition):

Pal Majumder, A. (2015). LONG TIME ASYMPTOTICS OF SOME WEAKLY INTERACTING PARTICLE SYSTEMS AND HIGHER ORDER ASYMPTOTICS OF GENERALIZED FIDUCIAL DISTRIBUTION. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:436bb3c9-b56c-4742-8135-5a5095a84cc5

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Pal Majumder, Abhishek. “LONG TIME ASYMPTOTICS OF SOME WEAKLY INTERACTING PARTICLE SYSTEMS AND HIGHER ORDER ASYMPTOTICS OF GENERALIZED FIDUCIAL DISTRIBUTION.” 2015. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:436bb3c9-b56c-4742-8135-5a5095a84cc5.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Pal Majumder, Abhishek. “LONG TIME ASYMPTOTICS OF SOME WEAKLY INTERACTING PARTICLE SYSTEMS AND HIGHER ORDER ASYMPTOTICS OF GENERALIZED FIDUCIAL DISTRIBUTION.” 2015. Web. 29 Nov 2020.

Vancouver:

Pal Majumder A. LONG TIME ASYMPTOTICS OF SOME WEAKLY INTERACTING PARTICLE SYSTEMS AND HIGHER ORDER ASYMPTOTICS OF GENERALIZED FIDUCIAL DISTRIBUTION. [Internet] [Thesis]. University of North Carolina; 2015. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:436bb3c9-b56c-4742-8135-5a5095a84cc5.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pal Majumder A. LONG TIME ASYMPTOTICS OF SOME WEAKLY INTERACTING PARTICLE SYSTEMS AND HIGHER ORDER ASYMPTOTICS OF GENERALIZED FIDUCIAL DISTRIBUTION. [Thesis]. University of North Carolina; 2015. Available from: https://cdr.lib.unc.edu/record/uuid:436bb3c9-b56c-4742-8135-5a5095a84cc5

Not specified: Masters Thesis or Doctoral Dissertation

University of North Carolina

21. Cui, Yifan. TREE-BASED SURVIVAL MODELS AND PRECISION MEDICINE.

Degree: Statistics and Operations Research, 2018, University of North Carolina

URL: https://cdr.lib.unc.edu/record/uuid:5d3e8911-a112-4061-a7d5-5e9b0e6f9897

► Random forests have become one of the most popular machine learning tools in recent years. The main advantage of tree- and forest-based models is their…
(more)

Subjects/Keywords: College of Arts and Sciences; Department of Statistics and Operations Research

Record Details Similar Records

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

APA (6^{th} Edition):

Cui, Y. (2018). TREE-BASED SURVIVAL MODELS AND PRECISION MEDICINE. (Thesis). University of North Carolina. Retrieved from https://cdr.lib.unc.edu/record/uuid:5d3e8911-a112-4061-a7d5-5e9b0e6f9897

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} Edition):

Cui, Yifan. “TREE-BASED SURVIVAL MODELS AND PRECISION MEDICINE.” 2018. Thesis, University of North Carolina. Accessed November 29, 2020. https://cdr.lib.unc.edu/record/uuid:5d3e8911-a112-4061-a7d5-5e9b0e6f9897.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} Edition):

Cui, Yifan. “TREE-BASED SURVIVAL MODELS AND PRECISION MEDICINE.” 2018. Web. 29 Nov 2020.

Vancouver:

Cui Y. TREE-BASED SURVIVAL MODELS AND PRECISION MEDICINE. [Internet] [Thesis]. University of North Carolina; 2018. [cited 2020 Nov 29]. Available from: https://cdr.lib.unc.edu/record/uuid:5d3e8911-a112-4061-a7d5-5e9b0e6f9897.

Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cui Y. TREE-BASED SURVIVAL MODELS AND PRECISION MEDICINE. [Thesis]. University of North Carolina; 2018. Available from: https://cdr.lib.unc.edu/record/uuid:5d3e8911-a112-4061-a7d5-5e9b0e6f9897

Not specified: Masters Thesis or Doctoral Dissertation