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University of Michigan

1. Yang, Yang. Contrubutions to the Analysis of Multistate and Degradation Data.

Degree: PhD, Statistics, 2011, University of Michigan

URL: http://hdl.handle.net/2027.42/86286

► Traditional methods in survival, reliability, actuarial science, risk, and other event-history applications are based on the analysis of time-to-occurrence of some event of interest, generically…
(more)

Subjects/Keywords: Multistate Models; Censoring; MCMC Sampling; Parametric Inference; Degradation Data Analysis; Missing Data; Statistics and Numeric Data; Science

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APA (6^{th} Edition):

Yang, Y. (2011). Contrubutions to the Analysis of Multistate and Degradation Data. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86286

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

Yang, Yang. “Contrubutions to the Analysis of Multistate and Degradation Data.” 2011. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/86286.

MLA Handbook (7^{th} Edition):

Yang, Yang. “Contrubutions to the Analysis of Multistate and Degradation Data.” 2011. Web. 21 Oct 2020.

Vancouver:

Yang Y. Contrubutions to the Analysis of Multistate and Degradation Data. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/86286.

Council of Science Editors:

Yang Y. Contrubutions to the Analysis of Multistate and Degradation Data. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86286

University of Michigan

2. 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 October 21, 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. 21 Oct 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 Oct 21]. 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

3. Vuong, Huy Q. Bioinformatics Analysis of Humoral Immune Response and Protein Microarray for Biomarker Discovery.

Degree: PhD, Bioinformatics, 2011, University of Michigan

URL: http://hdl.handle.net/2027.42/89673

► Early detection is the best defense which could significantly improve the cancer survival rate in several cancers including melanoma and pancreatic cancer. A promising approach…
(more)

Subjects/Keywords: Immune Response; Protein Microarray; Bioinformatics; Science (General); Health Sciences; Science

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APA (6^{th} Edition):

Vuong, H. Q. (2011). Bioinformatics Analysis of Humoral Immune Response and Protein Microarray for Biomarker Discovery. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/89673

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

Vuong, Huy Q. “Bioinformatics Analysis of Humoral Immune Response and Protein Microarray for Biomarker Discovery.” 2011. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/89673.

MLA Handbook (7^{th} Edition):

Vuong, Huy Q. “Bioinformatics Analysis of Humoral Immune Response and Protein Microarray for Biomarker Discovery.” 2011. Web. 21 Oct 2020.

Vancouver:

Vuong HQ. Bioinformatics Analysis of Humoral Immune Response and Protein Microarray for Biomarker Discovery. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/89673.

Council of Science Editors:

Vuong HQ. Bioinformatics Analysis of Humoral Immune Response and Protein Microarray for Biomarker Discovery. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/89673

University of Michigan

4. 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 October 21, 2020. http://hdl.handle.net/2027.42/89683.

MLA Handbook (7^{th} Edition):

Zhou, Hao. “Methods and Tools for Visual Analytics.” 2011. Web. 21 Oct 2020.

Vancouver:

Zhou H. Methods and Tools for Visual Analytics. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Oct 21]. 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

5. 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 October 21, 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. 21 Oct 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 Oct 21]. 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

6. Kim, Jacqueline. Asian Americans' Depressive Experiences and Mental Health Service Use Behaviors: Considering Physical Symptomatology.

Degree: PhD, Psychology, 2017, University of Michigan

URL: http://hdl.handle.net/2027.42/138778

► As rates of depression continue to increase, problems with mental health service underutilization and premature termination from psychotherapy remain unresolved. This has been most notable…
(more)

Subjects/Keywords: depressive; somatic; service use; dropout; symptomatology; Asian; Psychology; Social Sciences

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APA (6^{th} Edition):

Kim, J. (2017). Asian Americans' Depressive Experiences and Mental Health Service Use Behaviors: Considering Physical Symptomatology. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138778

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

Kim, Jacqueline. “Asian Americans' Depressive Experiences and Mental Health Service Use Behaviors: Considering Physical Symptomatology.” 2017. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/138778.

MLA Handbook (7^{th} Edition):

Kim, Jacqueline. “Asian Americans' Depressive Experiences and Mental Health Service Use Behaviors: Considering Physical Symptomatology.” 2017. Web. 21 Oct 2020.

Vancouver:

Kim J. Asian Americans' Depressive Experiences and Mental Health Service Use Behaviors: Considering Physical Symptomatology. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/138778.

Council of Science Editors:

Kim J. Asian Americans' Depressive Experiences and Mental Health Service Use Behaviors: Considering Physical Symptomatology. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138778

University of Michigan

7. Hunt, Gregory. Cell Type Deconvolution and Transformation of Microenvironment Microarray Data.

Degree: PhD, Statistics, 2018, University of Michigan

URL: http://hdl.handle.net/2027.42/147575

► Transformations are an important aspect of data analysis. In this work we explore the impact of data transformation on the analysis of high-throughput -omics data.…
(more)

Subjects/Keywords: Cell Type Deconvolution and Transformation of Microenvironment Microarray Data; Statistics and Numeric Data; Science

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

APA (6^{th} Edition):

Hunt, G. (2018). Cell Type Deconvolution and Transformation of Microenvironment Microarray Data. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/147575

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

Hunt, Gregory. “Cell Type Deconvolution and Transformation of Microenvironment Microarray Data.” 2018. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/147575.

MLA Handbook (7^{th} Edition):

Hunt, Gregory. “Cell Type Deconvolution and Transformation of Microenvironment Microarray Data.” 2018. Web. 21 Oct 2020.

Vancouver:

Hunt G. Cell Type Deconvolution and Transformation of Microenvironment Microarray Data. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/147575.

Council of Science Editors:

Hunt G. Cell Type Deconvolution and Transformation of Microenvironment Microarray Data. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/147575

University of Michigan

8. Qian, Cheng. Some Advances on Modeling High-Dimensional Data with Complex Structures.

Degree: PhD, Statistics, 2017, University of Michigan

URL: http://hdl.handle.net/2027.42/140828

► Recent advances in technology have created an abundance of high-dimensional data and made its analysis possible. These data require new, computationally efficient methodology and new…
(more)

Subjects/Keywords: High-Dimensional; Statistics and Numeric Data; Science

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APA (6^{th} Edition):

Qian, C. (2017). Some Advances on Modeling High-Dimensional Data with Complex Structures. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/140828

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

Qian, Cheng. “Some Advances on Modeling High-Dimensional Data with Complex Structures.” 2017. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/140828.

MLA Handbook (7^{th} Edition):

Qian, Cheng. “Some Advances on Modeling High-Dimensional Data with Complex Structures.” 2017. Web. 21 Oct 2020.

Vancouver:

Qian C. Some Advances on Modeling High-Dimensional Data with Complex Structures. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/140828.

Council of Science Editors:

Qian C. Some Advances on Modeling High-Dimensional Data with Complex Structures. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/140828

University of Michigan

9. Deeke, Julie. Approaches for Identifying Biases in Single-Cell RNA-Sequencing Data.

Degree: PhD, Statistics, 2019, University of Michigan

URL: http://hdl.handle.net/2027.42/153367

► Single-cell RNA-sequencing (scRNA-seq) involves the measurement of gene expression from isolated single cells, with the potential to illuminate cellular heterogeneity within complex tissue samples. However,…
(more)

Subjects/Keywords: single cell RNA-sequencing; technical biases; stably expressed genes; reads per unique molecular identifier; Statistics and Numeric Data; Science

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

APA (6^{th} Edition):

Deeke, J. (2019). Approaches for Identifying Biases in Single-Cell RNA-Sequencing Data. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/153367

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

Deeke, Julie. “Approaches for Identifying Biases in Single-Cell RNA-Sequencing Data.” 2019. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/153367.

MLA Handbook (7^{th} Edition):

Deeke, Julie. “Approaches for Identifying Biases in Single-Cell RNA-Sequencing Data.” 2019. Web. 21 Oct 2020.

Vancouver:

Deeke J. Approaches for Identifying Biases in Single-Cell RNA-Sequencing Data. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/153367.

Council of Science Editors:

Deeke J. Approaches for Identifying Biases in Single-Cell RNA-Sequencing Data. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/153367

University of Michigan

10. Park, Seyoung. Selected Problems for High-Dimensional Data - Quantile and Errors-in-Variables Regressions.

Degree: PhD, Statistics, 2016, University of Michigan

URL: http://hdl.handle.net/2027.42/133340

► This dissertation addresses two problems. First, we study joint quantile regression at multiple quantile levels with high dimensional covariates. Variable selection performed at individual quantile…
(more)

Subjects/Keywords: High-Dimensional, Quantile Regression, Kronecker Sum, Model Selection; Mathematics; Science (General); Statistics and Numeric Data; Arts; Business and Economics; Engineering; Government Information and Law; Health Sciences; Humanities; Science; Social Sciences

Record Details Similar Records

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

APA (6^{th} Edition):

Park, S. (2016). Selected Problems for High-Dimensional Data - Quantile and Errors-in-Variables Regressions. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/133340

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

Park, Seyoung. “Selected Problems for High-Dimensional Data - Quantile and Errors-in-Variables Regressions.” 2016. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/133340.

MLA Handbook (7^{th} Edition):

Park, Seyoung. “Selected Problems for High-Dimensional Data - Quantile and Errors-in-Variables Regressions.” 2016. Web. 21 Oct 2020.

Vancouver:

Park S. Selected Problems for High-Dimensional Data - Quantile and Errors-in-Variables Regressions. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/133340.

Council of Science Editors:

Park S. Selected Problems for High-Dimensional Data - Quantile and Errors-in-Variables Regressions. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/133340

University of Michigan

11. Wu, Wenyi. Scalable Classification Methods with Applications to Healthcare Claims and Automotive Dealership Data.

Degree: PhD, Statistics, 2019, University of Michigan

URL: http://hdl.handle.net/2027.42/151682

► With technology advances in recent years, sensing and media storage capabilities have enabled the generation of enormous amounts of information, often in the form of…
(more)

Subjects/Keywords: Discrete Choice Model; Classification; Deep Learning; Mortality Prediction; Statistics and Numeric Data; Science

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

APA (6^{th} Edition):

Wu, W. (2019). Scalable Classification Methods with Applications to Healthcare Claims and Automotive Dealership Data. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/151682

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

Wu, Wenyi. “Scalable Classification Methods with Applications to Healthcare Claims and Automotive Dealership Data.” 2019. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/151682.

MLA Handbook (7^{th} Edition):

Wu, Wenyi. “Scalable Classification Methods with Applications to Healthcare Claims and Automotive Dealership Data.” 2019. Web. 21 Oct 2020.

Vancouver:

Wu W. Scalable Classification Methods with Applications to Healthcare Claims and Automotive Dealership Data. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/151682.

Council of Science Editors:

Wu W. Scalable Classification Methods with Applications to Healthcare Claims and Automotive Dealership Data. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/151682

12. Lee, Kyu Han. Influenza and the Respiratory Microbiome.

Degree: PhD, Epidemiological Science, 2018, University of Michigan

URL: http://hdl.handle.net/2027.42/143948

► Despite the availability of vaccines, influenza causes approximately 3-5 million cases of severe illness and 400,000 deaths each year. Prevention efforts might potentially be strengthened…
(more)

Subjects/Keywords: Influenza virus; Respiratory microbiome; Public Health; Health Sciences

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APA (6^{th} Edition):

Lee, K. H. (2018). Influenza and the Respiratory Microbiome. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/143948

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

Lee, Kyu Han. “Influenza and the Respiratory Microbiome.” 2018. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/143948.

MLA Handbook (7^{th} Edition):

Lee, Kyu Han. “Influenza and the Respiratory Microbiome.” 2018. Web. 21 Oct 2020.

Vancouver:

Lee KH. Influenza and the Respiratory Microbiome. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/143948.

Council of Science Editors:

Lee KH. Influenza and the Respiratory Microbiome. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/143948

University of Michigan

13. Zhao, Xuefang. Understanding The Complexity of Human Structural Genomic Variation Through Multiple Whole Genome Sequencing Platforms.

Degree: PhD, Bioinformatics, 2017, University of Michigan

URL: http://hdl.handle.net/2027.42/138462

► Genomic structural variants (SVs) are major sources of genome diversity and closely related to human health, as indicated by numerous studies. In spite of the…
(more)

Subjects/Keywords: genomic structural variants; computational pipeline; Genetics; Health Sciences

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

APA (6^{th} Edition):

Zhao, X. (2017). Understanding The Complexity of Human Structural Genomic Variation Through Multiple Whole Genome Sequencing Platforms. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138462

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

Zhao, Xuefang. “Understanding The Complexity of Human Structural Genomic Variation Through Multiple Whole Genome Sequencing Platforms.” 2017. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/138462.

MLA Handbook (7^{th} Edition):

Zhao, Xuefang. “Understanding The Complexity of Human Structural Genomic Variation Through Multiple Whole Genome Sequencing Platforms.” 2017. Web. 21 Oct 2020.

Vancouver:

Zhao X. Understanding The Complexity of Human Structural Genomic Variation Through Multiple Whole Genome Sequencing Platforms. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/138462.

Council of Science Editors:

Zhao X. Understanding The Complexity of Human Structural Genomic Variation Through Multiple Whole Genome Sequencing Platforms. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138462

University of Michigan

14. Laber, Eric B. Adaptive Confidence Intervals for Non-Smooth Functionals.

Degree: PhD, Statistics, 2011, University of Michigan

URL: http://hdl.handle.net/2027.42/84551

► Many quantities of interest in modern statistical analysis are non-smooth functionals of the underlying generative distribution, the observed data, or both. Examples include the test…
(more)

Subjects/Keywords: Nonregular Functionals; Adaptive Confidence Intervals; Statistics and Numeric Data; Science

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APA (6^{th} Edition):

Laber, E. B. (2011). Adaptive Confidence Intervals for Non-Smooth Functionals. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/84551

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

Laber, Eric B. “Adaptive Confidence Intervals for Non-Smooth Functionals.” 2011. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/84551.

MLA Handbook (7^{th} Edition):

Laber, Eric B. “Adaptive Confidence Intervals for Non-Smooth Functionals.” 2011. Web. 21 Oct 2020.

Vancouver:

Laber EB. Adaptive Confidence Intervals for Non-Smooth Functionals. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/84551.

Council of Science Editors:

Laber EB. Adaptive Confidence Intervals for Non-Smooth Functionals. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/84551

University of Michigan

15. Ren, Yangsu. Multi-Omics Analysis of a Rat Model of Aerobic Exercise Capacity and Metabolic Fitness.

Degree: PhD, Human Genetics, 2016, University of Michigan

URL: http://hdl.handle.net/2027.42/120695

► We have previously established two lines of rat for studying the functional of aerobic exercise capacity (AEC) and its impact on metabolic health. The two…
(more)

Subjects/Keywords: Rat model of aerobic exercise capacity; Genetics; Science

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APA (6^{th} Edition):

Ren, Y. (2016). Multi-Omics Analysis of a Rat Model of Aerobic Exercise Capacity and Metabolic Fitness. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/120695

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

Ren, Yangsu. “Multi-Omics Analysis of a Rat Model of Aerobic Exercise Capacity and Metabolic Fitness.” 2016. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/120695.

MLA Handbook (7^{th} Edition):

Ren, Yangsu. “Multi-Omics Analysis of a Rat Model of Aerobic Exercise Capacity and Metabolic Fitness.” 2016. Web. 21 Oct 2020.

Vancouver:

Ren Y. Multi-Omics Analysis of a Rat Model of Aerobic Exercise Capacity and Metabolic Fitness. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/120695.

Council of Science Editors:

Ren Y. Multi-Omics Analysis of a Rat Model of Aerobic Exercise Capacity and Metabolic Fitness. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/120695

University of Michigan

16. Ferg, Robyn. Modern Survey Estimation with Social Media and Auxiliary Data.

Degree: PhD, Statistics, 2020, University of Michigan

URL: http://hdl.handle.net/2027.42/163193

► Traditional survey methods have been successful for nearly a century, but recently response rates have been declining and costs have been increasing, making the future…
(more)

Subjects/Keywords: statistics; Twitter data; survey estimation; topic modeling; predictive modeling; Statistics and Numeric Data; Science

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

APA (6^{th} Edition):

Ferg, R. (2020). Modern Survey Estimation with Social Media and Auxiliary Data. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/163193

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

Ferg, Robyn. “Modern Survey Estimation with Social Media and Auxiliary Data.” 2020. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/163193.

MLA Handbook (7^{th} Edition):

Ferg, Robyn. “Modern Survey Estimation with Social Media and Auxiliary Data.” 2020. Web. 21 Oct 2020.

Vancouver:

Ferg R. Modern Survey Estimation with Social Media and Auxiliary Data. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/163193.

Council of Science Editors:

Ferg R. Modern Survey Estimation with Social Media and Auxiliary Data. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/163193

University of Michigan

17. Naiman, Joseph. Multivariate Functional Regression and Selection.

Degree: PhD, Biostatistics, 2020, University of Michigan

URL: http://hdl.handle.net/2027.42/162990

► With the pervasiveness of sensor data, real-time physiological signals and behavioral data are often collected in many biomedical studies. This thesis is motivated by data…
(more)

Subjects/Keywords: Functional predictor; Linear mixed-effects model, Mobile device, Reproducing kernel Hilbert space, Sparse group regularization; Public Health; Mathematics; Statistics and Numeric Data; Business and Economics; Science

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APA (6^{th} Edition):

Naiman, J. (2020). Multivariate Functional Regression and Selection. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/162990

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

Naiman, Joseph. “Multivariate Functional Regression and Selection.” 2020. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/162990.

MLA Handbook (7^{th} Edition):

Naiman, Joseph. “Multivariate Functional Regression and Selection.” 2020. Web. 21 Oct 2020.

Vancouver:

Naiman J. Multivariate Functional Regression and Selection. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/162990.

Council of Science Editors:

Naiman J. Multivariate Functional Regression and Selection. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/162990

University of Michigan

18. Fan, Roger. Covariance Estimation with Missing and Dependent Data.

Degree: PhD, Statistics, 2020, University of Michigan

URL: http://hdl.handle.net/2027.42/163035

► The estimation of conditional dependence graphs and precision matrices is one of the most relevant problems in modern statistics. There is a large body of…
(more)

Subjects/Keywords: graphical model; US politics; missing data; covariance estimation; transposable data; high-dimensional; Statistics and Numeric Data; Science

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APA (6^{th} Edition):

Fan, R. (2020). Covariance Estimation with Missing and Dependent Data. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/163035

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

Fan, Roger. “Covariance Estimation with Missing and Dependent Data.” 2020. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/163035.

MLA Handbook (7^{th} Edition):

Fan, Roger. “Covariance Estimation with Missing and Dependent Data.” 2020. Web. 21 Oct 2020.

Vancouver:

Fan R. Covariance Estimation with Missing and Dependent Data. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/163035.

Council of Science Editors:

Fan R. Covariance Estimation with Missing and Dependent Data. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/163035

University of Michigan

19. Dickens, Joseph. Contributions to Mediation Analysis and First Principles Modeling for Mechanistic Statistical Analysis.

Degree: PhD, Statistics, 2020, University of Michigan

URL: http://hdl.handle.net/2027.42/163026

► This thesis contains three projects that propose novel methods for studying mechanisms that explain statistical relationships. The ultimate goal of each of these methods is…
(more)

Subjects/Keywords: mechanistic analysis; mediation analysis; Statistics and Numeric Data; Science

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APA (6^{th} Edition):

Dickens, J. (2020). Contributions to Mediation Analysis and First Principles Modeling for Mechanistic Statistical Analysis. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/163026

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

Dickens, Joseph. “Contributions to Mediation Analysis and First Principles Modeling for Mechanistic Statistical Analysis.” 2020. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/163026.

MLA Handbook (7^{th} Edition):

Dickens, Joseph. “Contributions to Mediation Analysis and First Principles Modeling for Mechanistic Statistical Analysis.” 2020. Web. 21 Oct 2020.

Vancouver:

Dickens J. Contributions to Mediation Analysis and First Principles Modeling for Mechanistic Statistical Analysis. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/163026.

Council of Science Editors:

Dickens J. Contributions to Mediation Analysis and First Principles Modeling for Mechanistic Statistical Analysis. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/163026

University of Michigan

20. Zhang, Kexin. Multiscale Modeling of RNA Structures Using NMR Chemical Shifts.

Degree: PhD, Chemistry, 2020, University of Michigan

URL: http://hdl.handle.net/2027.42/163247

► Structure determination is an important step in understanding the mechanisms of functional non-coding ribonucleic acids (ncRNAs). Experimental observables in solution-state nuclear magnetic resonance (NMR) spectroscopy…
(more)

Subjects/Keywords: RNA Structure Modeling; NMR Chemical Shifts; Machine Learning; Chemistry; Science

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APA (6^{th} Edition):

Zhang, K. (2020). Multiscale Modeling of RNA Structures Using NMR Chemical Shifts. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/163247

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

Zhang, Kexin. “Multiscale Modeling of RNA Structures Using NMR Chemical Shifts.” 2020. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/163247.

MLA Handbook (7^{th} Edition):

Zhang, Kexin. “Multiscale Modeling of RNA Structures Using NMR Chemical Shifts.” 2020. Web. 21 Oct 2020.

Vancouver:

Zhang K. Multiscale Modeling of RNA Structures Using NMR Chemical Shifts. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/163247.

Council of Science Editors:

Zhang K. Multiscale Modeling of RNA Structures Using NMR Chemical Shifts. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/163247

University of Michigan

21. Luers, Brook. Improved Performance and Stability of the Knockoff Filter and an Approach to Mixed Effects Modeling of Sequentially Randomized Trials.

Degree: PhD, Statistics, 2020, University of Michigan

URL: http://hdl.handle.net/2027.42/163099

► The knockoff filter is a variable selection technique for linear regression with finite-sample control of the regression false discovery rate (FDR). The regression FDR is…
(more)

Subjects/Keywords: variable selection; knockoff filter; sequential multiple assignment randomized trials; linear mixed models; Statistics and Numeric Data; Science

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APA (6^{th} Edition):

Luers, B. (2020). Improved Performance and Stability of the Knockoff Filter and an Approach to Mixed Effects Modeling of Sequentially Randomized Trials. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/163099

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

Luers, Brook. “Improved Performance and Stability of the Knockoff Filter and an Approach to Mixed Effects Modeling of Sequentially Randomized Trials.” 2020. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/163099.

MLA Handbook (7^{th} Edition):

Luers, Brook. “Improved Performance and Stability of the Knockoff Filter and an Approach to Mixed Effects Modeling of Sequentially Randomized Trials.” 2020. Web. 21 Oct 2020.

Vancouver:

Luers B. Improved Performance and Stability of the Knockoff Filter and an Approach to Mixed Effects Modeling of Sequentially Randomized Trials. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/163099.

Council of Science Editors:

Luers B. Improved Performance and Stability of the Knockoff Filter and an Approach to Mixed Effects Modeling of Sequentially Randomized Trials. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/163099

University of Michigan

22. Shen, Feichen. Development of Copy Number Variation Detection Algorithms and Their Application to Genome Diversity Studies.

Degree: PhD, Human Genetics, 2019, University of Michigan

URL: http://hdl.handle.net/2027.42/150064

► Copy number variation (CNV) is an important class of variation that contributes to genome evolution and disease. CNVs that become fixed in a species give…
(more)

Subjects/Keywords: CNV; kmer; canine evolution; genome assembly; Genetics; Health Sciences

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APA (6^{th} Edition):

Shen, F. (2019). Development of Copy Number Variation Detection Algorithms and Their Application to Genome Diversity Studies. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/150064

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

Shen, Feichen. “Development of Copy Number Variation Detection Algorithms and Their Application to Genome Diversity Studies.” 2019. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/150064.

MLA Handbook (7^{th} Edition):

Shen, Feichen. “Development of Copy Number Variation Detection Algorithms and Their Application to Genome Diversity Studies.” 2019. Web. 21 Oct 2020.

Vancouver:

Shen F. Development of Copy Number Variation Detection Algorithms and Their Application to Genome Diversity Studies. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/150064.

Council of Science Editors:

Shen F. Development of Copy Number Variation Detection Algorithms and Their Application to Genome Diversity Studies. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/150064

University of Michigan

23. Tan, Yaoyuan Vincent. Novel Applications and Extensions for Bayesian Additive Regression Trees (BART) in Prediction, Imputation, and Causal Inference.

Degree: PhD, Biostatistics, 2018, University of Michigan

URL: http://hdl.handle.net/2027.42/147594

► The Bayesian additive regression trees (BART) is a method proposed by Chipman et al. (2010) that can handle non-linear main and multiple-way interaction effects for…
(more)

Subjects/Keywords: Bayesian additive regression trees; Prediction; Imputation; Causal inference; Statistics and Numeric Data; Science

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APA (6^{th} Edition):

Tan, Y. V. (2018). Novel Applications and Extensions for Bayesian Additive Regression Trees (BART) in Prediction, Imputation, and Causal Inference. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/147594

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

Tan, Yaoyuan Vincent. “Novel Applications and Extensions for Bayesian Additive Regression Trees (BART) in Prediction, Imputation, and Causal Inference.” 2018. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/147594.

MLA Handbook (7^{th} Edition):

Tan, Yaoyuan Vincent. “Novel Applications and Extensions for Bayesian Additive Regression Trees (BART) in Prediction, Imputation, and Causal Inference.” 2018. Web. 21 Oct 2020.

Vancouver:

Tan YV. Novel Applications and Extensions for Bayesian Additive Regression Trees (BART) in Prediction, Imputation, and Causal Inference. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/147594.

Council of Science Editors:

Tan YV. Novel Applications and Extensions for Bayesian Additive Regression Trees (BART) in Prediction, Imputation, and Causal Inference. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/147594

University of Michigan

24. Demanelis, Kathryn. Disparities in Environmental Exposures and Health in Thailand: Molecular Effects of Chronic Cadmium Exposure and Trends in Childhood Leukemia.

Degree: PhD, Environmental Health Sciences, 2016, University of Michigan

URL: http://hdl.handle.net/2027.42/135800

► Thailand has undergone rapid social and economic changes over the past fifty years, and prevalence and mortality of disease has decreased for infectious diseases and…
(more)

Subjects/Keywords: Thailand; Childhood Leukemia; Cadmium; Biologic Aging; Metal Mixtures; Public Health; Health Sciences

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APA (6^{th} Edition):

Demanelis, K. (2016). Disparities in Environmental Exposures and Health in Thailand: Molecular Effects of Chronic Cadmium Exposure and Trends in Childhood Leukemia. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/135800

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

Demanelis, Kathryn. “Disparities in Environmental Exposures and Health in Thailand: Molecular Effects of Chronic Cadmium Exposure and Trends in Childhood Leukemia.” 2016. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/135800.

MLA Handbook (7^{th} Edition):

Demanelis, Kathryn. “Disparities in Environmental Exposures and Health in Thailand: Molecular Effects of Chronic Cadmium Exposure and Trends in Childhood Leukemia.” 2016. Web. 21 Oct 2020.

Vancouver:

Demanelis K. Disparities in Environmental Exposures and Health in Thailand: Molecular Effects of Chronic Cadmium Exposure and Trends in Childhood Leukemia. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/135800.

Council of Science Editors:

Demanelis K. Disparities in Environmental Exposures and Health in Thailand: Molecular Effects of Chronic Cadmium Exposure and Trends in Childhood Leukemia. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/135800

University of Michigan

25. Thompson, Brian. Mechanisms and Modeling of the Intestinal Absorption, Activation, and Systemic Availability of Gemcitabine and a Gemcitabine Prodrug for Oral Administration.

Degree: PhD, Pharmaceutical Sciences, 2020, University of Michigan

URL: http://hdl.handle.net/2027.42/163241

► Gemcitabine (2’-2’-difluoro-deoxycytidine) is an intravenously administered nucleoside analogue used in the treatment of various solid tumor cancers. While oral gemcitabine administration would offer a more…
(more)

Subjects/Keywords: Gemcitabine; Pharmacokinetics; Oral drug delivery; Transporter-targeted prodrugs; PepT1 (SLC15a1); Nucleoside transporters; Pharmacy and Pharmacology; Health Sciences; Science

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APA (6^{th} Edition):

Thompson, B. (2020). Mechanisms and Modeling of the Intestinal Absorption, Activation, and Systemic Availability of Gemcitabine and a Gemcitabine Prodrug for Oral Administration. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/163241

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

Thompson, Brian. “Mechanisms and Modeling of the Intestinal Absorption, Activation, and Systemic Availability of Gemcitabine and a Gemcitabine Prodrug for Oral Administration.” 2020. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/163241.

MLA Handbook (7^{th} Edition):

Thompson, Brian. “Mechanisms and Modeling of the Intestinal Absorption, Activation, and Systemic Availability of Gemcitabine and a Gemcitabine Prodrug for Oral Administration.” 2020. Web. 21 Oct 2020.

Vancouver:

Thompson B. Mechanisms and Modeling of the Intestinal Absorption, Activation, and Systemic Availability of Gemcitabine and a Gemcitabine Prodrug for Oral Administration. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/163241.

Council of Science Editors:

Thompson B. Mechanisms and Modeling of the Intestinal Absorption, Activation, and Systemic Availability of Gemcitabine and a Gemcitabine Prodrug for Oral Administration. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/163241

University of Michigan

26. Phaibulpanich, Akarin. Contributions to metric learning for nearest neighbor classification.

Degree: PhD, Statistics, 2006, University of Michigan

URL: http://hdl.handle.net/2027.42/125858

► In this thesis, we develop methods for constructing an A-weighted metric (x - y)' A( x - y) that improves the performance of K-nearest neighbor…
(more)

Subjects/Keywords: Contributions; Dimension Reduction; Metric Learning; Nearest-neighbor Classification

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

APA (6^{th} Edition):

Phaibulpanich, A. (2006). Contributions to metric learning for nearest neighbor classification. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/125858

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

Phaibulpanich, Akarin. “Contributions to metric learning for nearest neighbor classification.” 2006. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/125858.

MLA Handbook (7^{th} Edition):

Phaibulpanich, Akarin. “Contributions to metric learning for nearest neighbor classification.” 2006. Web. 21 Oct 2020.

Vancouver:

Phaibulpanich A. Contributions to metric learning for nearest neighbor classification. [Internet] [Doctoral dissertation]. University of Michigan; 2006. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/125858.

Council of Science Editors:

Phaibulpanich A. Contributions to metric learning for nearest neighbor classification. [Doctoral Dissertation]. University of Michigan; 2006. Available from: http://hdl.handle.net/2027.42/125858

University of Michigan

27. Zheng, Chuang. Uniform simulation of symmetric positive definite matrices, with applications to evaluating classifiers.

Degree: PhD, Statistics, 2007, University of Michigan

URL: http://hdl.handle.net/2027.42/126605

► In this dissertation a systematic approach for evaluating statistical techniques over a broad range of plausible correlation structures is introduced. The idea is to generate…
(more)

Subjects/Keywords: Applications; Classifiers; Definite Matrices; Evaluating; Positive; Simulation; Symmetric Matrices; Uniform

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APA (6^{th} Edition):

Zheng, C. (2007). Uniform simulation of symmetric positive definite matrices, with applications to evaluating classifiers. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/126605

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

Zheng, Chuang. “Uniform simulation of symmetric positive definite matrices, with applications to evaluating classifiers.” 2007. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/126605.

MLA Handbook (7^{th} Edition):

Zheng, Chuang. “Uniform simulation of symmetric positive definite matrices, with applications to evaluating classifiers.” 2007. Web. 21 Oct 2020.

Vancouver:

Zheng C. Uniform simulation of symmetric positive definite matrices, with applications to evaluating classifiers. [Internet] [Doctoral dissertation]. University of Michigan; 2007. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/126605.

Council of Science Editors:

Zheng C. Uniform simulation of symmetric positive definite matrices, with applications to evaluating classifiers. [Doctoral Dissertation]. University of Michigan; 2007. Available from: http://hdl.handle.net/2027.42/126605

28. Zhang, Juan. Statistical Analysis for Genomic Studies Involving Measurement Error, Multiple Populations, and Limited Sample Size.

Degree: PhD, Statistics, 2013, University of Michigan

URL: http://hdl.handle.net/2027.42/97913

► Genomic studies involve various types of high-dimensional data. Study designs are often complex, and data are difficult to collect. For example, the subjects may belong…
(more)

Subjects/Keywords: Measurement Error; Effect Size; Statistics and Numeric Data; Science

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

APA (6^{th} Edition):

Zhang, J. (2013). Statistical Analysis for Genomic Studies Involving Measurement Error, Multiple Populations, and Limited Sample Size. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/97913

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

Zhang, Juan. “Statistical Analysis for Genomic Studies Involving Measurement Error, Multiple Populations, and Limited Sample Size.” 2013. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/97913.

MLA Handbook (7^{th} Edition):

Zhang, Juan. “Statistical Analysis for Genomic Studies Involving Measurement Error, Multiple Populations, and Limited Sample Size.” 2013. Web. 21 Oct 2020.

Vancouver:

Zhang J. Statistical Analysis for Genomic Studies Involving Measurement Error, Multiple Populations, and Limited Sample Size. [Internet] [Doctoral dissertation]. University of Michigan; 2013. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/97913.

Council of Science Editors:

Zhang J. Statistical Analysis for Genomic Studies Involving Measurement Error, Multiple Populations, and Limited Sample Size. [Doctoral Dissertation]. University of Michigan; 2013. Available from: http://hdl.handle.net/2027.42/97913

29. 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 October 21, 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. 21 Oct 2020.

Vancouver:

Henderson JB. Methods for Reconstructing Networks with Incomplete Information. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Oct 21]. 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

30. Mukherjee, Ashin. Topics on Reduced Rank Methods for Multivariate Regression.

Degree: PhD, Statistics, 2013, University of Michigan

URL: http://hdl.handle.net/2027.42/99837

► Multivariate regression is a generalization of the univariate regression to the case where we are interested in predicting q(>1) responses that depend on the same…
(more)

Subjects/Keywords: Reduced Rank Regression; Statistics and Numeric Data; Science

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

APA (6^{th} Edition):

Mukherjee, A. (2013). Topics on Reduced Rank Methods for Multivariate Regression. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/99837

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

Mukherjee, Ashin. “Topics on Reduced Rank Methods for Multivariate Regression.” 2013. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/99837.

MLA Handbook (7^{th} Edition):

Mukherjee, Ashin. “Topics on Reduced Rank Methods for Multivariate Regression.” 2013. Web. 21 Oct 2020.

Vancouver:

Mukherjee A. Topics on Reduced Rank Methods for Multivariate Regression. [Internet] [Doctoral dissertation]. University of Michigan; 2013. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2027.42/99837.

Council of Science Editors:

Mukherjee A. Topics on Reduced Rank Methods for Multivariate Regression. [Doctoral Dissertation]. University of Michigan; 2013. Available from: http://hdl.handle.net/2027.42/99837