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You searched for +publisher:"University of Michigan" +contributor:("Shedden, Kerby A"). Showing records 1 – 30 of 85 total matches.

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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

 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 (6th 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 (16th 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 (7th 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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Ma, Jing. “Estimation and Inference for High-Dimensional Gaussian Graphical Models with Structural Constraints.” 2015. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/113495.

MLA Handbook (7th Edition):

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

 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 (6th 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 (16th 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 (7th 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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Zhou, Hao. “Methods and Tools for Visual Analytics.” 2011. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/89683.

MLA Handbook (7th 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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Wang, Jing. “Approximate Sampling for Doubly-intractable Distributions and Modeling Choice Interdependence in a Social Network.” 2011. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/86260.

MLA Handbook (7th Edition):

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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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

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APA (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

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

APA (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

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

APA (6th 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 (16th 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 (7th 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

 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 (6th 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 (16th 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 (7th 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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Henderson, James Bruce. “Methods for Reconstructing Networks with Incomplete Information.” 2015. Doctoral Dissertation, University of Michigan. Accessed October 21, 2020. http://hdl.handle.net/2027.42/113316.

MLA Handbook (7th 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

 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 (6th 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 (16th 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 (7th 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

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