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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

URL: http://hdl.handle.net/2027.42/113379

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/86454

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/113495

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/86541

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/89683

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/86260

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/113602

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/145937

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/153384

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/140882

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/102290

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/126660

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/113316

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/145976

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/91460

► 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 Rosaniaâ€™s lab, in the School of Pharmacy, *University*…

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

URL: http://hdl.handle.net/2027.42/138611

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/91378

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/99838

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

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

URL: http://hdl.handle.net/2027.42/110457

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/62382

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

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

URL: http://hdl.handle.net/2027.42/94022

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/108795

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/91578

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

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

URL: http://hdl.handle.net/2027.42/123328

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

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

URL: http://hdl.handle.net/2027.42/125131

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/126595

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

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

URL: http://hdl.handle.net/2027.42/124341

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

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

URL: http://hdl.handle.net/2027.42/132932

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/109029

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2027.42/143996

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

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