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You searched for +publisher:"University of Michigan" +contributor:("Michailidis, George"). Showing records 1 – 30 of 47 total matches.

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University of Michigan

1. Xia, Donggeng. Measuring Influence and Topic Dependent Interactions in Social Media Networks Based on a Counting Process Modeling Framework.

Degree: PhD, Statistics, 2015, University of Michigan

 Data extracted from social media platforms, such as Twitter, are both large in scale and complex in nature, since they contain both unstructured text, as… (more)

Subjects/Keywords: User influence; Edge importance; Counting process; Statistics and Numeric Data; Science

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APA (6th Edition):

Xia, D. (2015). Measuring Influence and Topic Dependent Interactions in Social Media Networks Based on a Counting Process Modeling Framework. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113379

Chicago Manual of Style (16th Edition):

Xia, Donggeng. “Measuring Influence and Topic Dependent Interactions in Social Media Networks Based on a Counting Process Modeling Framework.” 2015. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/113379.

MLA Handbook (7th Edition):

Xia, Donggeng. “Measuring Influence and Topic Dependent Interactions in Social Media Networks Based on a Counting Process Modeling Framework.” 2015. Web. 27 Nov 2020.

Vancouver:

Xia D. Measuring Influence and Topic Dependent Interactions in Social Media Networks Based on a Counting Process Modeling Framework. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/113379.

Council of Science Editors:

Xia D. Measuring Influence and Topic Dependent Interactions in Social Media Networks Based on a Counting Process Modeling Framework. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113379


University of Michigan

2. Tang, Runlong. Adaptive and Multistage Procedures for Inference on Monotone Regression Functions in Designd Studies and Observed Data Settings.

Degree: PhD, Statistics, 2011, University of Michigan

 This dissertation consists of three works. The first work is on the estimation and hypothesis testing for a failure time distribution function at a point… (more)

Subjects/Keywords: Isotonic Regression; Current Status Model; Time Sparsity; Local Linear Approximation; Bootstrap; Two-stage Procedure; Statistics and Numeric Data; Science

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APA (6th Edition):

Tang, R. (2011). Adaptive and Multistage Procedures for Inference on Monotone Regression Functions in Designd Studies and Observed Data Settings. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86454

Chicago Manual of Style (16th Edition):

Tang, Runlong. “Adaptive and Multistage Procedures for Inference on Monotone Regression Functions in Designd Studies and Observed Data Settings.” 2011. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/86454.

MLA Handbook (7th Edition):

Tang, Runlong. “Adaptive and Multistage Procedures for Inference on Monotone Regression Functions in Designd Studies and Observed Data Settings.” 2011. Web. 27 Nov 2020.

Vancouver:

Tang R. Adaptive and Multistage Procedures for Inference on Monotone Regression Functions in Designd Studies and Observed Data Settings. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/86454.

Council of Science Editors:

Tang R. Adaptive and Multistage Procedures for Inference on Monotone Regression Functions in Designd Studies and Observed Data Settings. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86454


University of Michigan

3. Ma, Jing. Estimation and Inference for High-Dimensional Gaussian Graphical Models with Structural Constraints.

Degree: PhD, Statistics, 2015, University of Michigan

 This work discusses several aspects of estimation and inference for high-dimensional Gaussian graphical models and consists of two main parts. The first part considers network-based… (more)

Subjects/Keywords: Structured sparsity; Maximum likelihood estimation; Graphical lasso; Group lasso penalty; Norm consistency; Pathway enrichment analysis; Statistics and Numeric Data; Science

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APA (6th Edition):

Ma, J. (2015). Estimation and Inference for High-Dimensional Gaussian Graphical Models with Structural Constraints. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113495

Chicago Manual of Style (16th Edition):

Ma, Jing. “Estimation and Inference for High-Dimensional Gaussian Graphical Models with Structural Constraints.” 2015. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/113495.

MLA Handbook (7th Edition):

Ma, Jing. “Estimation and Inference for High-Dimensional Gaussian Graphical Models with Structural Constraints.” 2015. Web. 27 Nov 2020.

Vancouver:

Ma J. Estimation and Inference for High-Dimensional Gaussian Graphical Models with Structural Constraints. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/113495.

Council of Science Editors:

Ma J. Estimation and Inference for High-Dimensional Gaussian Graphical Models with Structural Constraints. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113495


University of Michigan

4. Bae, Jung Hyun. Capacity-Achieving Schemes for Finite-State Channels.

Degree: PhD, Electrical Engineering: Systems, 2011, University of Michigan

 The main goal for the communication engineer is to design the encoder and decoder so that the system can transmit data reliably at the highest… (more)

Subjects/Keywords: Capacity Achieving Codes; Capacity Achieving Schemes; Channels With Memory; Finite-state Channels; Electrical Engineering; Engineering

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APA (6th Edition):

Bae, J. H. (2011). Capacity-Achieving Schemes for Finite-State Channels. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86541

Chicago Manual of Style (16th Edition):

Bae, Jung Hyun. “Capacity-Achieving Schemes for Finite-State Channels.” 2011. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/86541.

MLA Handbook (7th Edition):

Bae, Jung Hyun. “Capacity-Achieving Schemes for Finite-State Channels.” 2011. Web. 27 Nov 2020.

Vancouver:

Bae JH. Capacity-Achieving Schemes for Finite-State Channels. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/86541.

Council of Science Editors:

Bae JH. Capacity-Achieving Schemes for Finite-State Channels. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86541


University of Michigan

5. Zhou, Hao. Methods and Tools for Visual Analytics.

Degree: PhD, Statistics, 2011, University of Michigan

 Technological advances have led to a proliferation of data characterized by a complex structure; namely, high-dimensional attribute information complemented by relationships between the objects or… (more)

Subjects/Keywords: Visual Analytics; Statistics and Numeric Data; Science

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APA (6th Edition):

Zhou, H. (2011). Methods and Tools for Visual Analytics. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/89683

Chicago Manual of Style (16th Edition):

Zhou, Hao. “Methods and Tools for Visual Analytics.” 2011. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/89683.

MLA Handbook (7th Edition):

Zhou, Hao. “Methods and Tools for Visual Analytics.” 2011. Web. 27 Nov 2020.

Vancouver:

Zhou H. Methods and Tools for Visual Analytics. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/89683.

Council of Science Editors:

Zhou H. Methods and Tools for Visual Analytics. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/89683


University of Michigan

6. Wang, Jing. Approximate Sampling for Doubly-intractable Distributions and Modeling Choice Interdependence in a Social Network.

Degree: PhD, Statistics, 2011, University of Michigan

 With the advent and continuous growth of social media such as Facebook and Twitter, innovative advertising strategies have been invented to capitalize on the social… (more)

Subjects/Keywords: Interdependent Choices in a Social Network; Markov Chain Monte Carlo; Doubly-intractable Distribution; Path Sampling; Bayesian Inference; Statistics and Numeric Data; Science

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APA (6th Edition):

Wang, J. (2011). Approximate Sampling for Doubly-intractable Distributions and Modeling Choice Interdependence in a Social Network. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86260

Chicago Manual of Style (16th Edition):

Wang, Jing. “Approximate Sampling for Doubly-intractable Distributions and Modeling Choice Interdependence in a Social Network.” 2011. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/86260.

MLA Handbook (7th Edition):

Wang, Jing. “Approximate Sampling for Doubly-intractable Distributions and Modeling Choice Interdependence in a Social Network.” 2011. Web. 27 Nov 2020.

Vancouver:

Wang J. Approximate Sampling for Doubly-intractable Distributions and Modeling Choice Interdependence in a Social Network. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/86260.

Council of Science Editors:

Wang J. Approximate Sampling for Doubly-intractable Distributions and Modeling Choice Interdependence in a Social Network. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86260


University of Michigan

7. Roy, Sandipan. Statistical Inference and Computational Methods for Large High-Dimensional Data with Network Structure.

Degree: PhD, Statistics, 2015, University of Michigan

 New technological advancements have allowed collection of datasets of large volume and different levels of complexity. Many of these datasets have an underlying network structure.… (more)

Subjects/Keywords: Network; Heterogeneous; High-dimernsional; Subsampling; Statistics and Numeric Data; Science

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APA (6th Edition):

Roy, S. (2015). Statistical Inference and Computational Methods for Large High-Dimensional Data with Network Structure. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113602

Chicago Manual of Style (16th Edition):

Roy, Sandipan. “Statistical Inference and Computational Methods for Large High-Dimensional Data with Network Structure.” 2015. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/113602.

MLA Handbook (7th Edition):

Roy, Sandipan. “Statistical Inference and Computational Methods for Large High-Dimensional Data with Network Structure.” 2015. Web. 27 Nov 2020.

Vancouver:

Roy S. Statistical Inference and Computational Methods for Large High-Dimensional Data with Network Structure. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/113602.

Council of Science Editors:

Roy S. Statistical Inference and Computational Methods for Large High-Dimensional Data with Network Structure. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113602


University of Michigan

8. Bao, Wei. Dynamic Core Community Detection and Information Diffusion Processes on Networks.

Degree: PhD, Physics, 2018, University of Michigan

 Interest in network science has been increasingly shared among various research communities due to its broad range of applications. Many real world systems can be… (more)

Subjects/Keywords: COMPLEX NETWORKS; INFORMATION DIFFUSION; Physics; Science

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APA (6th Edition):

Bao, W. (2018). Dynamic Core Community Detection and Information Diffusion Processes on Networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/145937

Chicago Manual of Style (16th Edition):

Bao, Wei. “Dynamic Core Community Detection and Information Diffusion Processes on Networks.” 2018. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/145937.

MLA Handbook (7th Edition):

Bao, Wei. “Dynamic Core Community Detection and Information Diffusion Processes on Networks.” 2018. Web. 27 Nov 2020.

Vancouver:

Bao W. Dynamic Core Community Detection and Information Diffusion Processes on Networks. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/145937.

Council of Science Editors:

Bao W. Dynamic Core Community Detection and Information Diffusion Processes on Networks. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/145937


University of Michigan

9. Lu, Zhiyuan. Large Data Approaches to Thresholding Problems.

Degree: PhD, Statistics, 2019, University of Michigan

 Statistical models with discontinuities have seen much use in a variety of situations, in practical fields such as statistical process control, processing gene data, and… (more)

Subjects/Keywords: change point; adaptive sampling; computational time; Statistics and Numeric Data; Science

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APA (6th Edition):

Lu, Z. (2019). Large Data Approaches to Thresholding Problems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/153384

Chicago Manual of Style (16th Edition):

Lu, Zhiyuan. “Large Data Approaches to Thresholding Problems.” 2019. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/153384.

MLA Handbook (7th Edition):

Lu, Zhiyuan. “Large Data Approaches to Thresholding Problems.” 2019. Web. 27 Nov 2020.

Vancouver:

Lu Z. Large Data Approaches to Thresholding Problems. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/153384.

Council of Science Editors:

Lu Z. Large Data Approaches to Thresholding Problems. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/153384


University of Michigan

10. Shirani Faradonbeh, Mohamad Kazem. Non-Asymptotic Adaptive Control of Linear-Quadratic Systems.

Degree: PhD, Statistics, 2017, University of Michigan

 Optimal control for the canonical model of systems with linear dynamics and quadratic operating costs (known as LQ systems) is a well-studied problem in the… (more)

Subjects/Keywords: Non-Asymptotic Adaptive Control; Linear Systems; Finite Time Stabilization; Reinforcement Learning; Unstable Vector Autoregressive; Finite Sample Estimation; Computer Science; Electrical Engineering; Engineering (General); Industrial and Operations Engineering; Mathematics; Statistics and Numeric Data; Engineering; Science

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APA (6th Edition):

Shirani Faradonbeh, M. K. (2017). Non-Asymptotic Adaptive Control of Linear-Quadratic Systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/140882

Chicago Manual of Style (16th Edition):

Shirani Faradonbeh, Mohamad Kazem. “Non-Asymptotic Adaptive Control of Linear-Quadratic Systems.” 2017. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/140882.

MLA Handbook (7th Edition):

Shirani Faradonbeh, Mohamad Kazem. “Non-Asymptotic Adaptive Control of Linear-Quadratic Systems.” 2017. Web. 27 Nov 2020.

Vancouver:

Shirani Faradonbeh MK. Non-Asymptotic Adaptive Control of Linear-Quadratic Systems. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/140882.

Council of Science Editors:

Shirani Faradonbeh MK. Non-Asymptotic Adaptive Control of Linear-Quadratic Systems. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/140882


University of Michigan

11. Mallik, Atul. Topics on Threshold Estimation, Multistage Methods and Random Fields.

Degree: PhD, Statistics, 2013, University of Michigan

 We consider the problem of identifying the threshold at which a one-dimensional regression function leaves its baseline value. This is motivated by applications from dose-response… (more)

Subjects/Keywords: Threshold Estimation; Multistage Procedures; Limit Theorems for Random Fields; Empirical Processes; Baseline Set Estimation; M-estimation; Statistics and Numeric Data; Science

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APA (6th Edition):

Mallik, A. (2013). Topics on Threshold Estimation, Multistage Methods and Random Fields. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/102290

Chicago Manual of Style (16th Edition):

Mallik, Atul. “Topics on Threshold Estimation, Multistage Methods and Random Fields.” 2013. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/102290.

MLA Handbook (7th Edition):

Mallik, Atul. “Topics on Threshold Estimation, Multistage Methods and Random Fields.” 2013. Web. 27 Nov 2020.

Vancouver:

Mallik A. Topics on Threshold Estimation, Multistage Methods and Random Fields. [Internet] [Doctoral dissertation]. University of Michigan; 2013. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/102290.

Council of Science Editors:

Mallik A. Topics on Threshold Estimation, Multistage Methods and Random Fields. [Doctoral Dissertation]. University of Michigan; 2013. Available from: http://hdl.handle.net/2027.42/102290


University of Michigan

12. Culp, Mark V. Multi-view learning with additive models on graphs.

Degree: PhD, Statistics, 2007, University of Michigan

 This thesis provides a methodology for approaching multi-view learning, a broad range of problems that share a common challenge: incorporating several distinct domains of data… (more)

Subjects/Keywords: Additive Models; Classification; Graphs; Label Propagation; Machine Learning; Multi; View

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APA (6th Edition):

Culp, M. V. (2007). Multi-view learning with additive models on graphs. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/126660

Chicago Manual of Style (16th Edition):

Culp, Mark V. “Multi-view learning with additive models on graphs.” 2007. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/126660.

MLA Handbook (7th Edition):

Culp, Mark V. “Multi-view learning with additive models on graphs.” 2007. Web. 27 Nov 2020.

Vancouver:

Culp MV. Multi-view learning with additive models on graphs. [Internet] [Doctoral dissertation]. University of Michigan; 2007. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/126660.

Council of Science Editors:

Culp MV. Multi-view learning with additive models on graphs. [Doctoral Dissertation]. University of Michigan; 2007. Available from: http://hdl.handle.net/2027.42/126660

13. Henderson, James Bruce. Methods for Reconstructing Networks with Incomplete Information.

Degree: PhD, Statistics, 2015, University of Michigan

 Network representations of complex systems are widespread and reconstructing unknown networks from data has been intensively researched in statistical and scientific communities more broadly. Two… (more)

Subjects/Keywords: network reconstruction; partial order; active structure learning; Markov Chain Monte Carlo; nonparametric gradient-matching; dynamic systems; Statistics and Numeric Data; Science

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APA (6th Edition):

Henderson, J. B. (2015). Methods for Reconstructing Networks with Incomplete Information. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113316

Chicago Manual of Style (16th Edition):

Henderson, James Bruce. “Methods for Reconstructing Networks with Incomplete Information.” 2015. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/113316.

MLA Handbook (7th Edition):

Henderson, James Bruce. “Methods for Reconstructing Networks with Incomplete Information.” 2015. Web. 27 Nov 2020.

Vancouver:

Henderson JB. Methods for Reconstructing Networks with Incomplete Information. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/113316.

Council of Science Editors:

Henderson JB. Methods for Reconstructing Networks with Incomplete Information. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113316

14. Lin, Jiahe. Modeling and Estimating Multi-Block Interactions for High-Dimensional Stationary Time Series.

Degree: PhD, Statistics, 2018, University of Michigan

 Modeling and estimating interactions amongst multiple groups of variables is an important task for understanding the structure of complex system. In particular, for time series,… (more)

Subjects/Keywords: high-dimensional time series; optimization; regularization; statistical error bound; convergence; Statistics and Numeric Data; Science

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APA (6th Edition):

Lin, J. (2018). Modeling and Estimating Multi-Block Interactions for High-Dimensional Stationary Time Series. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/145976

Chicago Manual of Style (16th Edition):

Lin, Jiahe. “Modeling and Estimating Multi-Block Interactions for High-Dimensional Stationary Time Series.” 2018. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/145976.

MLA Handbook (7th Edition):

Lin, Jiahe. “Modeling and Estimating Multi-Block Interactions for High-Dimensional Stationary Time Series.” 2018. Web. 27 Nov 2020.

Vancouver:

Lin J. Modeling and Estimating Multi-Block Interactions for High-Dimensional Stationary Time Series. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/145976.

Council of Science Editors:

Lin J. Modeling and Estimating Multi-Block Interactions for High-Dimensional Stationary Time Series. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/145976

15. Liu, Fangyi. Contributions to Statistical Image Analysis for High Content Screening.

Degree: PhD, Statistics, 2012, University of Michigan

 Images of cells incubated with fluorescent small molecule probes can be used to infer where the compounds distribute within cells. Identifying the spatial pattern of… (more)

Subjects/Keywords: High Content Screening; Statistics and Numeric Data; Science

of Michigan. The images were acquired using the Cellomics KineticScan HCS instrument… …images of small molecules, comes from Gus Rosania’s lab, in the School of Pharmacy, University… 

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APA (6th Edition):

Liu, F. (2012). Contributions to Statistical Image Analysis for High Content Screening. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/91460

Chicago Manual of Style (16th Edition):

Liu, Fangyi. “Contributions to Statistical Image Analysis for High Content Screening.” 2012. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/91460.

MLA Handbook (7th Edition):

Liu, Fangyi. “Contributions to Statistical Image Analysis for High Content Screening.” 2012. Web. 27 Nov 2020.

Vancouver:

Liu F. Contributions to Statistical Image Analysis for High Content Screening. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/91460.

Council of Science Editors:

Liu F. Contributions to Statistical Image Analysis for High Content Screening. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/91460

16. Das, Sreyoshi. Essays in Financial Economics.

Degree: PhD, Economics, 2017, University of Michigan

 My dissertation is a collection of three essays relating to three important aspects of financial markets - assets, firms, and households. While the first two… (more)

Subjects/Keywords: Emerging market; Financial sector connectivity; Socioeconomic status and beliefs; Finance; Business and Economics

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APA (6th Edition):

Das, S. (2017). Essays in Financial Economics. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138611

Chicago Manual of Style (16th Edition):

Das, Sreyoshi. “Essays in Financial Economics.” 2017. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/138611.

MLA Handbook (7th Edition):

Das, Sreyoshi. “Essays in Financial Economics.” 2017. Web. 27 Nov 2020.

Vancouver:

Das S. Essays in Financial Economics. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/138611.

Council of Science Editors:

Das S. Essays in Financial Economics. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138611

17. Marchenko, Olga V. Joint Parametric Modeling and Estimation of Time to Cancer Recurrence and Disease Stage at Recurrence.

Degree: PhD, Statistics, 2012, University of Michigan

 A clinical trial with bladder cancer patients who went through surgery and were followed up for tumor recurrence was used as motivation for this research.… (more)

Subjects/Keywords: Joint Modeling; Time to Event; Statistics and Numeric Data; Science

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APA (6th Edition):

Marchenko, O. V. (2012). Joint Parametric Modeling and Estimation of Time to Cancer Recurrence and Disease Stage at Recurrence. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/91378

Chicago Manual of Style (16th Edition):

Marchenko, Olga V. “Joint Parametric Modeling and Estimation of Time to Cancer Recurrence and Disease Stage at Recurrence.” 2012. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/91378.

MLA Handbook (7th Edition):

Marchenko, Olga V. “Joint Parametric Modeling and Estimation of Time to Cancer Recurrence and Disease Stage at Recurrence.” 2012. Web. 27 Nov 2020.

Vancouver:

Marchenko OV. Joint Parametric Modeling and Estimation of Time to Cancer Recurrence and Disease Stage at Recurrence. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/91378.

Council of Science Editors:

Marchenko OV. Joint Parametric Modeling and Estimation of Time to Cancer Recurrence and Disease Stage at Recurrence. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/91378

18. Mankad, Shawn Pankaj. Statistical Techniques for Exploratory Analysis of Structured Three-Way and Dynamic Network Data.

Degree: PhD, Statistics, 2013, University of Michigan

 In this thesis, I develop different techniques for the pattern extraction and visual exploration of a collection of data matrices. Specifically, I present methods to… (more)

Subjects/Keywords: Three-way Data; Non-negative Matrix Factorization; Biclustering; Dynamic Network Data; Statistics and Numeric Data; Social Sciences

…MATLAB for rank 1 NMFs from a University of Michigan dedicated computing server and a Linux… 

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APA (6th Edition):

Mankad, S. P. (2013). Statistical Techniques for Exploratory Analysis of Structured Three-Way and Dynamic Network Data. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/99838

Chicago Manual of Style (16th Edition):

Mankad, Shawn Pankaj. “Statistical Techniques for Exploratory Analysis of Structured Three-Way and Dynamic Network Data.” 2013. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/99838.

MLA Handbook (7th Edition):

Mankad, Shawn Pankaj. “Statistical Techniques for Exploratory Analysis of Structured Three-Way and Dynamic Network Data.” 2013. Web. 27 Nov 2020.

Vancouver:

Mankad SP. Statistical Techniques for Exploratory Analysis of Structured Three-Way and Dynamic Network Data. [Internet] [Doctoral dissertation]. University of Michigan; 2013. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/99838.

Council of Science Editors:

Mankad SP. Statistical Techniques for Exploratory Analysis of Structured Three-Way and Dynamic Network Data. [Doctoral Dissertation]. University of Michigan; 2013. Available from: http://hdl.handle.net/2027.42/99838

19. Jung, Sung Kwon. Optimal Control Methods for PV-integrated Shading Devices.

Degree: PhD, Architecture, 2014, University of Michigan

 The main reason for the under-utilization of natural light is glare caused by excessive admission of daylight into interior spaces. Absence of a dynamic and… (more)

Subjects/Keywords: optimal control; photovoltaics; PV-integrated shading device; Architecture; Arts

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APA (6th Edition):

Jung, S. K. (2014). Optimal Control Methods for PV-integrated Shading Devices. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/110457

Chicago Manual of Style (16th Edition):

Jung, Sung Kwon. “Optimal Control Methods for PV-integrated Shading Devices.” 2014. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/110457.

MLA Handbook (7th Edition):

Jung, Sung Kwon. “Optimal Control Methods for PV-integrated Shading Devices.” 2014. Web. 27 Nov 2020.

Vancouver:

Jung SK. Optimal Control Methods for PV-integrated Shading Devices. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/110457.

Council of Science Editors:

Jung SK. Optimal Control Methods for PV-integrated Shading Devices. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/110457

20. Yang, Lili. Sample Based Estimation of Network Traffic Flow Characteristics.

Degree: PhD, Statistics, 2009, University of Michigan

 Understanding the characteristics of traffic flows is crucial for allocating the necessary resources (bandwidth) to accommodate users demand. In this dissertation research, the problem of… (more)

Subjects/Keywords: Sampling; Design; Network; Statistics and Numeric Data; Science

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APA (6th Edition):

Yang, L. (2009). Sample Based Estimation of Network Traffic Flow Characteristics. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/62382

Chicago Manual of Style (16th Edition):

Yang, Lili. “Sample Based Estimation of Network Traffic Flow Characteristics.” 2009. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/62382.

MLA Handbook (7th Edition):

Yang, Lili. “Sample Based Estimation of Network Traffic Flow Characteristics.” 2009. Web. 27 Nov 2020.

Vancouver:

Yang L. Sample Based Estimation of Network Traffic Flow Characteristics. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/62382.

Council of Science Editors:

Yang L. Sample Based Estimation of Network Traffic Flow Characteristics. [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/62382

21. Xu, Kevin S. Computational Methods for Learning and Inference on Dynamic Networks.

Degree: PhD, Electrical Engineering-Systems, 2012, University of Michigan

 Networks are ubiquitous in science, serving as a natural representation for many complex physical, biological, and social phenomena. Significant efforts have been dedicated to analyzing… (more)

Subjects/Keywords: Dynamic Networks; Network Models; Community Detection; Graph Layout; Machine Learning; Social and Information Networks; Computer Science; Electrical Engineering; Engineering

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APA (6th Edition):

Xu, K. S. (2012). Computational Methods for Learning and Inference on Dynamic Networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/94022

Chicago Manual of Style (16th Edition):

Xu, Kevin S. “Computational Methods for Learning and Inference on Dynamic Networks.” 2012. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/94022.

MLA Handbook (7th Edition):

Xu, Kevin S. “Computational Methods for Learning and Inference on Dynamic Networks.” 2012. Web. 27 Nov 2020.

Vancouver:

Xu KS. Computational Methods for Learning and Inference on Dynamic Networks. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/94022.

Council of Science Editors:

Xu KS. Computational Methods for Learning and Inference on Dynamic Networks. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/94022

22. Chakrabarty, Nirupam. Semiparametric Estimation of Target Location in Wireless Sensor Network.

Degree: PhD, Statistics, 2014, University of Michigan

 Wireless sensor networks are widely used for monitoring natural phenomena in space and over time, as well as for target detection and tracking. In a… (more)

Subjects/Keywords: Semiparametric; Wireless Sensor Network; Target Estimation; Statistics and Numeric Data; Science

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APA (6th Edition):

Chakrabarty, N. (2014). Semiparametric Estimation of Target Location in Wireless Sensor Network. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/108795

Chicago Manual of Style (16th Edition):

Chakrabarty, Nirupam. “Semiparametric Estimation of Target Location in Wireless Sensor Network.” 2014. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/108795.

MLA Handbook (7th Edition):

Chakrabarty, Nirupam. “Semiparametric Estimation of Target Location in Wireless Sensor Network.” 2014. Web. 27 Nov 2020.

Vancouver:

Chakrabarty N. Semiparametric Estimation of Target Location in Wireless Sensor Network. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/108795.

Council of Science Editors:

Chakrabarty N. Semiparametric Estimation of Target Location in Wireless Sensor Network. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/108795

23. Ren, Yi. Design Preference Elicitation, Identification and Estimation.

Degree: PhD, Mechanical Engineering, 2012, University of Michigan

 Understanding user preference has long been a challenging topic in the design research community. Econometric methods have been adopted to link design and market, achieving… (more)

Subjects/Keywords: Preference Elicitation; Machine Learning; Global Optimization; Active Learning; Mechanical Engineering; Engineering

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APA (6th Edition):

Ren, Y. (2012). Design Preference Elicitation, Identification and Estimation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/91578

Chicago Manual of Style (16th Edition):

Ren, Yi. “Design Preference Elicitation, Identification and Estimation.” 2012. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/91578.

MLA Handbook (7th Edition):

Ren, Yi. “Design Preference Elicitation, Identification and Estimation.” 2012. Web. 27 Nov 2020.

Vancouver:

Ren Y. Design Preference Elicitation, Identification and Estimation. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/91578.

Council of Science Editors:

Ren Y. Design Preference Elicitation, Identification and Estimation. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/91578


University of Michigan

24. Hung, Ying-Chao. Modeling and analysis of stochastic networks with shared resources.

Degree: PhD, Statistics, 2002, University of Michigan

 Traditional network models have played an important role over the last four decades in providing insight in the dynamics of telecommunication, computer and manufacturing systems.… (more)

Subjects/Keywords: Analysis; Modeling; Shared Resources; Stochastic Networks; Throughput Capacity

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APA (6th Edition):

Hung, Y. (2002). Modeling and analysis of stochastic networks with shared resources. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/123328

Chicago Manual of Style (16th Edition):

Hung, Ying-Chao. “Modeling and analysis of stochastic networks with shared resources.” 2002. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/123328.

MLA Handbook (7th Edition):

Hung, Ying-Chao. “Modeling and analysis of stochastic networks with shared resources.” 2002. Web. 27 Nov 2020.

Vancouver:

Hung Y. Modeling and analysis of stochastic networks with shared resources. [Internet] [Doctoral dissertation]. University of Michigan; 2002. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/123328.

Council of Science Editors:

Hung Y. Modeling and analysis of stochastic networks with shared resources. [Doctoral Dissertation]. University of Michigan; 2002. Available from: http://hdl.handle.net/2027.42/123328


University of Michigan

25. Lawrence, Earl Christopher. Flexicast network delay tomography.

Degree: PhD, Statistics, 2005, University of Michigan

 This thesis considers the estimation of link delay distributions based on path-level measurements in communications networks. The data are collected by actively probing the network:… (more)

Subjects/Keywords: Deconvolution; Flexicast; Network Delay Tomography; Tree-structured Graphs

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APA (6th Edition):

Lawrence, E. C. (2005). Flexicast network delay tomography. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/125131

Chicago Manual of Style (16th Edition):

Lawrence, Earl Christopher. “Flexicast network delay tomography.” 2005. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/125131.

MLA Handbook (7th Edition):

Lawrence, Earl Christopher. “Flexicast network delay tomography.” 2005. Web. 27 Nov 2020.

Vancouver:

Lawrence EC. Flexicast network delay tomography. [Internet] [Doctoral dissertation]. University of Michigan; 2005. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/125131.

Council of Science Editors:

Lawrence EC. Flexicast network delay tomography. [Doctoral Dissertation]. University of Michigan; 2005. Available from: http://hdl.handle.net/2027.42/125131


University of Michigan

26. Yang, Xiaodong. Design of probing experiments and online monitoring of network performance.

Degree: PhD, Industrial engineering, 2007, University of Michigan

 Network monitoring involves collecting and analyzing various types of data in order to detect changes in network performance, identify anomalies, and determine root causes of… (more)

Subjects/Keywords: Design; Experiments; Network Performance; Online Monitoring; Probing

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APA (6th Edition):

Yang, X. (2007). Design of probing experiments and online monitoring of network performance. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/126595

Chicago Manual of Style (16th Edition):

Yang, Xiaodong. “Design of probing experiments and online monitoring of network performance.” 2007. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/126595.

MLA Handbook (7th Edition):

Yang, Xiaodong. “Design of probing experiments and online monitoring of network performance.” 2007. Web. 27 Nov 2020.

Vancouver:

Yang X. Design of probing experiments and online monitoring of network performance. [Internet] [Doctoral dissertation]. University of Michigan; 2007. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/126595.

Council of Science Editors:

Yang X. Design of probing experiments and online monitoring of network performance. [Doctoral Dissertation]. University of Michigan; 2007. Available from: http://hdl.handle.net/2027.42/126595


University of Michigan

27. Xi, Bowei. Estimating internal link loss rates using active network tomography.

Degree: PhD, Statistics, 2004, University of Michigan

 Estimating quality of service parameters associated with computer and communication networks, such as link loss rates and delay distributions, is a problem of considerable importance… (more)

Subjects/Keywords: Active; Bicast; Estimating; Internal; Link Loss; Multicast; Network Tomography; Rates; Using

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APA (6th Edition):

Xi, B. (2004). Estimating internal link loss rates using active network tomography. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/124341

Chicago Manual of Style (16th Edition):

Xi, Bowei. “Estimating internal link loss rates using active network tomography.” 2004. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/124341.

MLA Handbook (7th Edition):

Xi, Bowei. “Estimating internal link loss rates using active network tomography.” 2004. Web. 27 Nov 2020.

Vancouver:

Xi B. Estimating internal link loss rates using active network tomography. [Internet] [Doctoral dissertation]. University of Michigan; 2004. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/124341.

Council of Science Editors:

Xi B. Estimating internal link loss rates using active network tomography. [Doctoral Dissertation]. University of Michigan; 2004. Available from: http://hdl.handle.net/2027.42/124341


University of Michigan

28. Sousa, Bruno C. A contribution to the estimation of the tail index of heavy -tailed distributions.

Degree: PhD, Statistics, 2002, University of Michigan

 The problem of estimating the tail index in heavy-tailed distributions is very important in a variety of applications. Three new graphical methods, the H(k )(more)

Subjects/Keywords: Contribution; Estimation; Heavy-tailed Distributions; Pareto Distribution; Sum Plot; Tail Index

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APA (6th Edition):

Sousa, B. C. (2002). A contribution to the estimation of the tail index of heavy -tailed distributions. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/132932

Chicago Manual of Style (16th Edition):

Sousa, Bruno C. “A contribution to the estimation of the tail index of heavy -tailed distributions.” 2002. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/132932.

MLA Handbook (7th Edition):

Sousa, Bruno C. “A contribution to the estimation of the tail index of heavy -tailed distributions.” 2002. Web. 27 Nov 2020.

Vancouver:

Sousa BC. A contribution to the estimation of the tail index of heavy -tailed distributions. [Internet] [Doctoral dissertation]. University of Michigan; 2002. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/132932.

Council of Science Editors:

Sousa BC. A contribution to the estimation of the tail index of heavy -tailed distributions. [Doctoral Dissertation]. University of Michigan; 2002. Available from: http://hdl.handle.net/2027.42/132932

29. Basu, Sumanta. Modeling and Estimation of High-dimensional Vector Autoregressions.

Degree: PhD, Statistics, 2014, University of Michigan

 Vector Autoregression (VAR) represents a popular class of time series models in applied macroeconomics and finance, widely used for structural analysis and simultaneous forecasting of… (more)

Subjects/Keywords: High-dimensional Statistics; Time Series; Vector Autoregression; Granger Causality; Statistics and Numeric Data; Science

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APA (6th Edition):

Basu, S. (2014). Modeling and Estimation of High-dimensional Vector Autoregressions. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/109029

Chicago Manual of Style (16th Edition):

Basu, Sumanta. “Modeling and Estimation of High-dimensional Vector Autoregressions.” 2014. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/109029.

MLA Handbook (7th Edition):

Basu, Sumanta. “Modeling and Estimation of High-dimensional Vector Autoregressions.” 2014. Web. 27 Nov 2020.

Vancouver:

Basu S. Modeling and Estimation of High-dimensional Vector Autoregressions. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/109029.

Council of Science Editors:

Basu S. Modeling and Estimation of High-dimensional Vector Autoregressions. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/109029

30. Guidici, Teal. Methods for Utilizing Co-expression Networks for Biological Insight.

Degree: PhD, Statistics, 2018, University of Michigan

 The explosion of high-throughput Omics assays in past 15 years has led to a revolution in the quantity of data and the number of data… (more)

Subjects/Keywords: co-expression networks; graphs; metabolomics; lipidomics; Statistics and Numeric Data; Science

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APA (6th Edition):

Guidici, T. (2018). Methods for Utilizing Co-expression Networks for Biological Insight. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/143996

Chicago Manual of Style (16th Edition):

Guidici, Teal. “Methods for Utilizing Co-expression Networks for Biological Insight.” 2018. Doctoral Dissertation, University of Michigan. Accessed November 27, 2020. http://hdl.handle.net/2027.42/143996.

MLA Handbook (7th Edition):

Guidici, Teal. “Methods for Utilizing Co-expression Networks for Biological Insight.” 2018. Web. 27 Nov 2020.

Vancouver:

Guidici T. Methods for Utilizing Co-expression Networks for Biological Insight. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/2027.42/143996.

Council of Science Editors:

Guidici T. Methods for Utilizing Co-expression Networks for Biological Insight. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/143996

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