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University of Michigan

1. Yan, Huiying. Memory Bookmarking: Using In Situ Information to Promote Recall in Online Data Collection.

Degree: PhD, Survey Methodology, 2020, University of Michigan

URL: http://hdl.handle.net/2027.42/155208

► Understanding human behavior is the goal of many social sciences, but accurately measuring the everyday behaviors of individuals is difficult. To collect information about and…
(more)

Subjects/Keywords: mobile data collection; memory recall; measurement error; GPS; photo; texting; Social Sciences

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APA (6^{th} Edition):

Yan, H. (2020). Memory Bookmarking: Using In Situ Information to Promote Recall in Online Data Collection. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/155208

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

Yan, Huiying. “Memory Bookmarking: Using In Situ Information to Promote Recall in Online Data Collection.” 2020. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/155208.

MLA Handbook (7^{th} Edition):

Yan, Huiying. “Memory Bookmarking: Using In Situ Information to Promote Recall in Online Data Collection.” 2020. Web. 25 Nov 2020.

Vancouver:

Yan H. Memory Bookmarking: Using In Situ Information to Promote Recall in Online Data Collection. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/155208.

Council of Science Editors:

Yan H. Memory Bookmarking: Using In Situ Information to Promote Recall in Online Data Collection. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/155208

University of Michigan

2. Westgate, Philip Michael. Improving Small-Sample Inference in Group Randomized Trials and Other Sources of Correlated Binary Outcomes.

Degree: PhD, Biostatistics, 2011, University of Michigan

URL: http://hdl.handle.net/2027.42/89710

► Group Randomized Trials (GRTs), along with many other types of studies, commonly can be composed of a small to moderate number of independent clusters of…
(more)

Subjects/Keywords: Estimating Equations; Estimation Performance; Generalized Estimating Equations; Test Size; Science

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APA (6^{th} Edition):

Westgate, P. M. (2011). Improving Small-Sample Inference in Group Randomized Trials and Other Sources of Correlated Binary Outcomes. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/89710

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

Westgate, Philip Michael. “Improving Small-Sample Inference in Group Randomized Trials and Other Sources of Correlated Binary Outcomes.” 2011. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/89710.

MLA Handbook (7^{th} Edition):

Westgate, Philip Michael. “Improving Small-Sample Inference in Group Randomized Trials and Other Sources of Correlated Binary Outcomes.” 2011. Web. 25 Nov 2020.

Vancouver:

Westgate PM. Improving Small-Sample Inference in Group Randomized Trials and Other Sources of Correlated Binary Outcomes. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/89710.

Council of Science Editors:

Westgate PM. Improving Small-Sample Inference in Group Randomized Trials and Other Sources of Correlated Binary Outcomes. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/89710

University of Michigan

3. Steimle, Lauren. Stochastic Dynamic Optimization Under Ambiguity.

Degree: PhD, Industrial & Operations Engineering, 2019, University of Michigan

URL: http://hdl.handle.net/2027.42/149947

► Stochastic dynamic optimization methods are powerful mathematical tools for informing sequential decision-making in environments where the outcomes of decisions are uncertain. For instance, the Markov…
(more)

Subjects/Keywords: dynamic programming; Markov decision process; stochastic optimization; decomposition; parameter uncertainty; ambiguity; Industrial and Operations Engineering; Engineering

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APA (6^{th} Edition):

Steimle, L. (2019). Stochastic Dynamic Optimization Under Ambiguity. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/149947

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

Steimle, Lauren. “Stochastic Dynamic Optimization Under Ambiguity.” 2019. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/149947.

MLA Handbook (7^{th} Edition):

Steimle, Lauren. “Stochastic Dynamic Optimization Under Ambiguity.” 2019. Web. 25 Nov 2020.

Vancouver:

Steimle L. Stochastic Dynamic Optimization Under Ambiguity. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/149947.

Council of Science Editors:

Steimle L. Stochastic Dynamic Optimization Under Ambiguity. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/149947

University of Michigan

4. Liao, Peng. Just-In-Time Adaptive Interventions: Experiment, Inference and Online Learning.

Degree: PhD, Statistics, 2019, University of Michigan

URL: http://hdl.handle.net/2027.42/151474

► The use and development of mobile interventions are experiencing rapid growth. Ideally, mobile devices can be used to provide treatment/support whenever needed and to adapt…
(more)

Subjects/Keywords: adaptive intervention; reinforcement learning; experiment design; semi-parametric; mobile health; off-policy evaluation; Statistics and Numeric Data; Science

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APA (6^{th} Edition):

Liao, P. (2019). Just-In-Time Adaptive Interventions: Experiment, Inference and Online Learning. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/151474

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

Liao, Peng. “Just-In-Time Adaptive Interventions: Experiment, Inference and Online Learning.” 2019. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/151474.

MLA Handbook (7^{th} Edition):

Liao, Peng. “Just-In-Time Adaptive Interventions: Experiment, Inference and Online Learning.” 2019. Web. 25 Nov 2020.

Vancouver:

Liao P. Just-In-Time Adaptive Interventions: Experiment, Inference and Online Learning. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/151474.

Council of Science Editors:

Liao P. Just-In-Time Adaptive Interventions: Experiment, Inference and Online Learning. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/151474

University of Michigan

5. 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 November 25, 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. 25 Nov 2020.

Vancouver:

Laber EB. Adaptive Confidence Intervals for Non-Smooth Functionals. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Nov 25]. 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

6. Wu, Tianshuang. Set Valued Dynamic Treatment Regimes.

Degree: PhD, Statistics, 2016, University of Michigan

URL: http://hdl.handle.net/2027.42/133462

► Dynamic Treatment Regimes (DTR)s are composed of sequences of decision rules, one per stage of treatment. Each decision rule inputs patient information and outputs a…
(more)

Subjects/Keywords: Dynamic treatment Regime; Statistics and Numeric Data; Science

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APA (6^{th} Edition):

Wu, T. (2016). Set Valued Dynamic Treatment Regimes. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/133462

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

Wu, Tianshuang. “Set Valued Dynamic Treatment Regimes.” 2016. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/133462.

MLA Handbook (7^{th} Edition):

Wu, Tianshuang. “Set Valued Dynamic Treatment Regimes.” 2016. Web. 25 Nov 2020.

Vancouver:

Wu T. Set Valued Dynamic Treatment Regimes. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/133462.

Council of Science Editors:

Wu T. Set Valued Dynamic Treatment Regimes. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/133462

University of Michigan

7. Zeng, Donglin. Adjusting for dependent censoring using high-dimensional auxiliary information.

Degree: PhD, Statistics, 2001, University of Michigan

URL: http://hdl.handle.net/2027.42/126889

► This dissertation deals with right-censored data in survival analysis, where the dependent censoring is explained by high-dimensional auxiliary information and treatment variables. We focus on…
(more)

Subjects/Keywords: Adjusting; Auxiliary Information; Censoring; Cox's Regression; Dependent; Dimensional; High; Semiparametric; Using

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

APA (6^{th} Edition):

Zeng, D. (2001). Adjusting for dependent censoring using high-dimensional auxiliary information. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/126889

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

Zeng, Donglin. “Adjusting for dependent censoring using high-dimensional auxiliary information.” 2001. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/126889.

MLA Handbook (7^{th} Edition):

Zeng, Donglin. “Adjusting for dependent censoring using high-dimensional auxiliary information.” 2001. Web. 25 Nov 2020.

Vancouver:

Zeng D. Adjusting for dependent censoring using high-dimensional auxiliary information. [Internet] [Doctoral dissertation]. University of Michigan; 2001. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/126889.

Council of Science Editors:

Zeng D. Adjusting for dependent censoring using high-dimensional auxiliary information. [Doctoral Dissertation]. University of Michigan; 2001. Available from: http://hdl.handle.net/2027.42/126889

University of Michigan

8. Almirall, Daniel. Towards assessing time-varying causal effect moderation in experimental and observational studies.

Degree: PhD, Statistics, 2007, University of Michigan

URL: http://hdl.handle.net/2027.42/126620

► This dissertation considers statistical methodology for causal effect moderation in both experimental and observational studies, in both the point-treatment and time-varying treatments setting. We define…
(more)

Subjects/Keywords: Assessing; Causal Effect Moderation; Estimators; Experimental; Nuisance Functions; Observational; Robin's Structural Nested Mean; Studies; Time-varying Causal Effect; Towards

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APA (6^{th} Edition):

Almirall, D. (2007). Towards assessing time-varying causal effect moderation in experimental and observational studies. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/126620

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

Almirall, Daniel. “Towards assessing time-varying causal effect moderation in experimental and observational studies.” 2007. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/126620.

MLA Handbook (7^{th} Edition):

Almirall, Daniel. “Towards assessing time-varying causal effect moderation in experimental and observational studies.” 2007. Web. 25 Nov 2020.

Vancouver:

Almirall D. Towards assessing time-varying causal effect moderation in experimental and observational studies. [Internet] [Doctoral dissertation]. University of Michigan; 2007. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/126620.

Council of Science Editors:

Almirall D. Towards assessing time-varying causal effect moderation in experimental and observational studies. [Doctoral Dissertation]. University of Michigan; 2007. Available from: http://hdl.handle.net/2027.42/126620

9. Andridge, Rebecca Roberts. Statistical Methods for Missing Data in Complex Sample Surveys.

Degree: PhD, Biostatistics, 2009, University of Michigan

URL: http://hdl.handle.net/2027.42/63657

► Missing data are a pervasive problem in large-scale surveys, arising when a sampled unit does not respond to a particular question or to the entire…
(more)

Subjects/Keywords: Missing Data; Sample Surveys; Nonignorable Nonresponse; Hot Deck Imputation; Statistics and Numeric Data; Science

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APA (6^{th} Edition):

Andridge, R. R. (2009). Statistical Methods for Missing Data in Complex Sample Surveys. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/63657

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

Andridge, Rebecca Roberts. “Statistical Methods for Missing Data in Complex Sample Surveys.” 2009. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/63657.

MLA Handbook (7^{th} Edition):

Andridge, Rebecca Roberts. “Statistical Methods for Missing Data in Complex Sample Surveys.” 2009. Web. 25 Nov 2020.

Vancouver:

Andridge RR. Statistical Methods for Missing Data in Complex Sample Surveys. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/63657.

Council of Science Editors:

Andridge RR. Statistical Methods for Missing Data in Complex Sample Surveys. [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/63657

10. Gunter, Lacey L. Variable Selection for Decision Making.

Degree: PhD, Statistics, 2009, University of Michigan

URL: http://hdl.handle.net/2027.42/63808

► In decision making research, scientists collect a large number of variables that may be useful in deciding which action is best. Researchers might use a…
(more)

Subjects/Keywords: Decision Making; Variable Selection; Value of Information; Lasso; Statistics and Numeric Data; Science

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APA (6^{th} Edition):

Gunter, L. L. (2009). Variable Selection for Decision Making. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/63808

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

Gunter, Lacey L. “Variable Selection for Decision Making.” 2009. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/63808.

MLA Handbook (7^{th} Edition):

Gunter, Lacey L. “Variable Selection for Decision Making.” 2009. Web. 25 Nov 2020.

Vancouver:

Gunter LL. Variable Selection for Decision Making. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/63808.

Council of Science Editors:

Gunter LL. Variable Selection for Decision Making. [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/63808

11. Lu, Xi. Evaluation and Comparison of Dynamic Treatment Regimes: Methods and Challenges.

Degree: PhD, Statistics, 2015, University of Michigan

URL: http://hdl.handle.net/2027.42/113451

► Dynamic treatment regimes (DTRs) are sequences of decision rules that link the patient history with treatment recommendations. Clinical scientists have become increasingly interested in the…
(more)

Subjects/Keywords: Dynamic treatment regime; Sequential Multiple Assignment Randomized Trial; Statistics and Numeric Data; Science

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APA (6^{th} Edition):

Lu, X. (2015). Evaluation and Comparison of Dynamic Treatment Regimes: Methods and Challenges. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113451

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

Lu, Xi. “Evaluation and Comparison of Dynamic Treatment Regimes: Methods and Challenges.” 2015. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/113451.

MLA Handbook (7^{th} Edition):

Lu, Xi. “Evaluation and Comparison of Dynamic Treatment Regimes: Methods and Challenges.” 2015. Web. 25 Nov 2020.

Vancouver:

Lu X. Evaluation and Comparison of Dynamic Treatment Regimes: Methods and Challenges. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/113451.

Council of Science Editors:

Lu X. Evaluation and Comparison of Dynamic Treatment Regimes: Methods and Challenges. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113451

12. Lei, Huitian. An Online Actor Critic Algorithm and a Statistical Decision Procedure for Personalizing Intervention.

Degree: PhD, Statistics, 2016, University of Michigan

URL: http://hdl.handle.net/2027.42/133223

► Increasing technological sophistication and widespread use of smartphones and wearable devices provide opportunities for innovative health interventions. An Adaptive Intervention (AI) personalizes the type, mode…
(more)

Subjects/Keywords: Just-in-TIme-Adaptive-Intervention; Online Learning; Statistics and Numeric Data; Health Sciences; Science

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

APA (6^{th} Edition):

Lei, H. (2016). An Online Actor Critic Algorithm and a Statistical Decision Procedure for Personalizing Intervention. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/133223

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

Lei, Huitian. “An Online Actor Critic Algorithm and a Statistical Decision Procedure for Personalizing Intervention.” 2016. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/133223.

MLA Handbook (7^{th} Edition):

Lei, Huitian. “An Online Actor Critic Algorithm and a Statistical Decision Procedure for Personalizing Intervention.” 2016. Web. 25 Nov 2020.

Vancouver:

Lei H. An Online Actor Critic Algorithm and a Statistical Decision Procedure for Personalizing Intervention. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/133223.

Council of Science Editors:

Lei H. An Online Actor Critic Algorithm and a Statistical Decision Procedure for Personalizing Intervention. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/133223

13. Zhang, Nanhua. Ignorable and Nonignorable Modeling in Regression with Incomplete Covariates.

Degree: PhD, Biostatistics, 2011, University of Michigan

URL: http://hdl.handle.net/2027.42/89828

► Regression analysis is a statistical tool for studying the relationships between outcome and predictor variables. The analysis is often complicated by missing data. Complete-case analysis…
(more)

Subjects/Keywords: Missing Data; Nonignorable Modeling; Missing Covariates; Statistics and Numeric Data; Social Sciences

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

APA (6^{th} Edition):

Zhang, N. (2011). Ignorable and Nonignorable Modeling in Regression with Incomplete Covariates. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/89828

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

Zhang, Nanhua. “Ignorable and Nonignorable Modeling in Regression with Incomplete Covariates.” 2011. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/89828.

MLA Handbook (7^{th} Edition):

Zhang, Nanhua. “Ignorable and Nonignorable Modeling in Regression with Incomplete Covariates.” 2011. Web. 25 Nov 2020.

Vancouver:

Zhang N. Ignorable and Nonignorable Modeling in Regression with Incomplete Covariates. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/89828.

Council of Science Editors:

Zhang N. Ignorable and Nonignorable Modeling in Regression with Incomplete Covariates. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/89828

14. Barbarin, Andrea. Toward Health Information Technology that Supports Overweight and Obese Women in Addressing Emotion- and Stress-Related Eating (a Mixed Methods Approach).

Degree: PhD, Information, 2017, University of Michigan

URL: http://hdl.handle.net/2027.42/138457

► Extensive research shows that negative emotions and stress can prompt eating behavior that is in excess of physiological nutritional needs. Additionally, research indicates that women…
(more)

Subjects/Keywords: Health Informatics; Information; Obesity; Women; Stress Eating; Emotional Eating; Information and Library Science; Psychology; Public Health; Women's and Gender Studies; Social Sciences

…x28;e.g., *University* *of* *Michigan* Investigational Weight Management
Clinic, MHealthy Ready to…

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APA (6^{th} Edition):

Barbarin, A. (2017). Toward Health Information Technology that Supports Overweight and Obese Women in Addressing Emotion- and Stress-Related Eating (a Mixed Methods Approach). (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138457

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

Barbarin, Andrea. “Toward Health Information Technology that Supports Overweight and Obese Women in Addressing Emotion- and Stress-Related Eating (a Mixed Methods Approach).” 2017. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/138457.

MLA Handbook (7^{th} Edition):

Barbarin, Andrea. “Toward Health Information Technology that Supports Overweight and Obese Women in Addressing Emotion- and Stress-Related Eating (a Mixed Methods Approach).” 2017. Web. 25 Nov 2020.

Vancouver:

Barbarin A. Toward Health Information Technology that Supports Overweight and Obese Women in Addressing Emotion- and Stress-Related Eating (a Mixed Methods Approach). [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/138457.

Council of Science Editors:

Barbarin A. Toward Health Information Technology that Supports Overweight and Obese Women in Addressing Emotion- and Stress-Related Eating (a Mixed Methods Approach). [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138457

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

Degree: PhD, Statistics, 2014, University of Michigan

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

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

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

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APA (6^{th} Edition):

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

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

Basu, Sumanta. “Modeling and Estimation of High-dimensional Vector Autoregressions.” 2014. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/109029.

MLA Handbook (7^{th} Edition):

Basu, Sumanta. “Modeling and Estimation of High-dimensional Vector Autoregressions.” 2014. Web. 25 Nov 2020.

Vancouver:

Basu S. Modeling and Estimation of High-dimensional Vector Autoregressions. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/109029.

Council of Science Editors:

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

16. Guo, Jian. Topics in High-Dimensional Unsupervised Learning.

Degree: PhD, Statistics, 2011, University of Michigan

URL: http://hdl.handle.net/2027.42/86374

► The first part of the dissertation introduces several new methods for estimating the structure of graphical models. Firstly, we consider estimating graphical models with discrete…
(more)

Subjects/Keywords: Graphical Model; High-dimensinonal Data Analysis; Network Analysis; Unsupervised Learning; Statistics and Numeric Data; Science

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APA (6^{th} Edition):

Guo, J. (2011). Topics in High-Dimensional Unsupervised Learning. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86374

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

Guo, Jian. “Topics in High-Dimensional Unsupervised Learning.” 2011. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/86374.

MLA Handbook (7^{th} Edition):

Guo, Jian. “Topics in High-Dimensional Unsupervised Learning.” 2011. Web. 25 Nov 2020.

Vancouver:

Guo J. Topics in High-Dimensional Unsupervised Learning. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/86374.

Council of Science Editors:

Guo J. Topics in High-Dimensional Unsupervised Learning. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86374

17. Bellala, Gowtham. Information and Decision Theoretic Approaches to Problems in Active Diagnosis.

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

URL: http://hdl.handle.net/2027.42/91606

► In applications such as active learning or disease/fault diagnosis, one often encounters the problem of identifying an unknown object while minimizing the number of ``yes"…
(more)

Subjects/Keywords: Machine Learning; Active Diagnosis; Active Learning; Object/Entity Identification; Bayesian Networks; Generalized Binary Search; Computer Science; Electrical Engineering; Engineering

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APA (6^{th} Edition):

Bellala, G. (2012). Information and Decision Theoretic Approaches to Problems in Active Diagnosis. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/91606

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

Bellala, Gowtham. “Information and Decision Theoretic Approaches to Problems in Active Diagnosis.” 2012. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/91606.

MLA Handbook (7^{th} Edition):

Bellala, Gowtham. “Information and Decision Theoretic Approaches to Problems in Active Diagnosis.” 2012. Web. 25 Nov 2020.

Vancouver:

Bellala G. Information and Decision Theoretic Approaches to Problems in Active Diagnosis. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/91606.

Council of Science Editors:

Bellala G. Information and Decision Theoretic Approaches to Problems in Active Diagnosis. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/91606

18. Jiang, Nan. A Theory of Model Selection in Reinforcement Learning.

Degree: PhD, Computer Science & Engineering, 2017, University of Michigan

URL: http://hdl.handle.net/2027.42/138518

► Reinforcement Learning (RL) is a machine learning paradigm where an agent learns to accomplish sequential decision-making tasks from experience. Applications of RL are found in…
(more)

Subjects/Keywords: reinforcement learning; Computer Science; Engineering

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APA (6^{th} Edition):

Jiang, N. (2017). A Theory of Model Selection in Reinforcement Learning. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138518

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

Jiang, Nan. “A Theory of Model Selection in Reinforcement Learning.” 2017. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/138518.

MLA Handbook (7^{th} Edition):

Jiang, Nan. “A Theory of Model Selection in Reinforcement Learning.” 2017. Web. 25 Nov 2020.

Vancouver:

Jiang N. A Theory of Model Selection in Reinforcement Learning. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/138518.

Council of Science Editors:

Jiang N. A Theory of Model Selection in Reinforcement Learning. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138518

19. Tsiligkaridis, Theodoros. High Dimensional Separable Representations for Statistical Estimation and Controlled Sensing.

Degree: PhD, Electrical Engineering: Systems, 2014, University of Michigan

URL: http://hdl.handle.net/2027.42/107110

► This thesis makes contributions to a fundamental set of high dimensional problems in the following areas: (1) performance bounds for high dimensional estimation of structured…
(more)

Subjects/Keywords: Separable Models for Covariance Estimation and Controlled Sensing; Convergence Theory for Decentralized Controlled Sensing; Collaborative Signal Processing; Electrical Engineering; Engineering

Record Details Similar Records

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

APA (6^{th} Edition):

Tsiligkaridis, T. (2014). High Dimensional Separable Representations for Statistical Estimation and Controlled Sensing. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/107110

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

Tsiligkaridis, Theodoros. “High Dimensional Separable Representations for Statistical Estimation and Controlled Sensing.” 2014. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/107110.

MLA Handbook (7^{th} Edition):

Tsiligkaridis, Theodoros. “High Dimensional Separable Representations for Statistical Estimation and Controlled Sensing.” 2014. Web. 25 Nov 2020.

Vancouver:

Tsiligkaridis T. High Dimensional Separable Representations for Statistical Estimation and Controlled Sensing. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/107110.

Council of Science Editors:

Tsiligkaridis T. High Dimensional Separable Representations for Statistical Estimation and Controlled Sensing. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/107110

20. Schell, Greggory J. Personalized Medicine in Chronic Disease Management.

Degree: PhD, Industrial and Operations Engineering, 2015, University of Michigan

URL: http://hdl.handle.net/2027.42/111447

► Chronic diseases are persistent medical conditions which affect half of all adults in the United States. The nature of these long-term chronic conditions present monitoring…
(more)

Subjects/Keywords: Operations research; Health care; Treatment planning; Chronic disease; Dynamic programming; Optimization; Industrial and Operations Engineering; Engineering

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

APA (6^{th} Edition):

Schell, G. J. (2015). Personalized Medicine in Chronic Disease Management. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/111447

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

Schell, Greggory J. “Personalized Medicine in Chronic Disease Management.” 2015. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/111447.

MLA Handbook (7^{th} Edition):

Schell, Greggory J. “Personalized Medicine in Chronic Disease Management.” 2015. Web. 25 Nov 2020.

Vancouver:

Schell GJ. Personalized Medicine in Chronic Disease Management. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/111447.

Council of Science Editors:

Schell GJ. Personalized Medicine in Chronic Disease Management. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/111447

21. Singhal, Harsh. Statistical Inverse Problems on Graphs with Application to Flow Volume Estimation in Computer Networks.

Degree: PhD, Statistics, 2009, University of Michigan

URL: http://hdl.handle.net/2027.42/62268

► Estimation of flow volumes in computer networks involves the use of data that are either highly aggregated or fairly noisy. We address several conceptual and…
(more)

Subjects/Keywords: Identifiability; Inverse Problem; Optimal Design; Statistics and Numeric Data; Science

Record Details Similar Records

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

APA (6^{th} Edition):

Singhal, H. (2009). Statistical Inverse Problems on Graphs with Application to Flow Volume Estimation in Computer Networks. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/62268

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

Singhal, Harsh. “Statistical Inverse Problems on Graphs with Application to Flow Volume Estimation in Computer Networks.” 2009. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/62268.

MLA Handbook (7^{th} Edition):

Singhal, Harsh. “Statistical Inverse Problems on Graphs with Application to Flow Volume Estimation in Computer Networks.” 2009. Web. 25 Nov 2020.

Vancouver:

Singhal H. Statistical Inverse Problems on Graphs with Application to Flow Volume Estimation in Computer Networks. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/62268.

Council of Science Editors:

Singhal H. Statistical Inverse Problems on Graphs with Application to Flow Volume Estimation in Computer Networks. [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/62268

University of Michigan

22. Qian, Min. Model Selection and l1 Penalization for Individualized Treatment Rules.

Degree: PhD, Statistics, 2010, University of Michigan

URL: http://hdl.handle.net/2027.42/77919

► Because many illnesses show heterogeneous response to treatment, there is increasing interest in individualizing treatment to patients. An individualized treatment rule is a decision rule…
(more)

Subjects/Keywords: Individualized Treatment Rule; Decision Making; Model Selection; L1 Penalized Least Sqaures; Statistics and Numeric Data; Science

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

APA (6^{th} Edition):

Qian, M. (2010). Model Selection and l1 Penalization for Individualized Treatment Rules. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/77919

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

Qian, Min. “Model Selection and l1 Penalization for Individualized Treatment Rules.” 2010. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/77919.

MLA Handbook (7^{th} Edition):

Qian, Min. “Model Selection and l1 Penalization for Individualized Treatment Rules.” 2010. Web. 25 Nov 2020.

Vancouver:

Qian M. Model Selection and l1 Penalization for Individualized Treatment Rules. [Internet] [Doctoral dissertation]. University of Michigan; 2010. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/77919.

Council of Science Editors:

Qian M. Model Selection and l1 Penalization for Individualized Treatment Rules. [Doctoral Dissertation]. University of Michigan; 2010. Available from: http://hdl.handle.net/2027.42/77919

University of Michigan

23. Chakraborty, Bibhas. A Study of Non-regularity in Dynamic Treatment Regimes and Some Design Considerations for Multicomponent Interventions.

Degree: PhD, Statistics, 2009, University of Michigan

URL: http://hdl.handle.net/2027.42/64656

► This dissertation investigates two methodological problems. The first problem concerns developing and optimizing multicomponent interventions. The traditional approach to this problem is to conduct a…
(more)

Subjects/Keywords: Multicomponent Interventions; Dynamic Treatment Regimes; Non-regularity; Fractional Factorial Design; Soft-threshold Estimator; Empirical Bayes; Statistics and Numeric Data; Science

Record Details Similar Records

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

APA (6^{th} Edition):

Chakraborty, B. (2009). A Study of Non-regularity in Dynamic Treatment Regimes and Some Design Considerations for Multicomponent Interventions. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/64656

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

Chakraborty, Bibhas. “A Study of Non-regularity in Dynamic Treatment Regimes and Some Design Considerations for Multicomponent Interventions.” 2009. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/64656.

MLA Handbook (7^{th} Edition):

Chakraborty, Bibhas. “A Study of Non-regularity in Dynamic Treatment Regimes and Some Design Considerations for Multicomponent Interventions.” 2009. Web. 25 Nov 2020.

Vancouver:

Chakraborty B. A Study of Non-regularity in Dynamic Treatment Regimes and Some Design Considerations for Multicomponent Interventions. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/64656.

Council of Science Editors:

Chakraborty B. A Study of Non-regularity in Dynamic Treatment Regimes and Some Design Considerations for Multicomponent Interventions. [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/64656

University of Michigan

24. Zhang, Guangyu. Extensions of the Penalized Spline Propensity Prediction Method of Imputation.

Degree: PhD, Biostatistics, 2007, University of Michigan

URL: http://hdl.handle.net/2027.42/57686

► Little and An (2004) proposed a penalized spline propensity prediction (PSPP) method of imputation of missing values that yields robust model-based inference under the missing…
(more)

Subjects/Keywords: Penalized Spline Propensity Prediction (PSPP) Method of Imputation of Missing Values; Health Sciences

Record Details Similar Records

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

APA (6^{th} Edition):

Zhang, G. (2007). Extensions of the Penalized Spline Propensity Prediction Method of Imputation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/57686

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

Zhang, Guangyu. “Extensions of the Penalized Spline Propensity Prediction Method of Imputation.” 2007. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/57686.

MLA Handbook (7^{th} Edition):

Zhang, Guangyu. “Extensions of the Penalized Spline Propensity Prediction Method of Imputation.” 2007. Web. 25 Nov 2020.

Vancouver:

Zhang G. Extensions of the Penalized Spline Propensity Prediction Method of Imputation. [Internet] [Doctoral dissertation]. University of Michigan; 2007. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/57686.

Council of Science Editors:

Zhang G. Extensions of the Penalized Spline Propensity Prediction Method of Imputation. [Doctoral Dissertation]. University of Michigan; 2007. Available from: http://hdl.handle.net/2027.42/57686

University of Michigan

25. Shojaie, Ali. Estimation and Inference in High Dimensional Networks, with Applications to Biological Systems.

Degree: PhD, Statistics, 2010, University of Michigan

URL: http://hdl.handle.net/2027.42/77775

► This dissertation discusses several aspects of estimation and inference for high dimensional networks, and is divided into three main parts. First, to assess the significance…
(more)

Subjects/Keywords: High Dimensional Networks; Graphical Models; Biological Networks and Systems Biology; Small N Large P Asymptotics; Penalized Likelihood Estimation; Bioinformatics; Mathematics; Statistics and Numeric Data; Health Sciences; Science

Record Details Similar Records

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

APA (6^{th} Edition):

Shojaie, A. (2010). Estimation and Inference in High Dimensional Networks, with Applications to Biological Systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/77775

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

Shojaie, Ali. “Estimation and Inference in High Dimensional Networks, with Applications to Biological Systems.” 2010. Doctoral Dissertation, University of Michigan. Accessed November 25, 2020. http://hdl.handle.net/2027.42/77775.

MLA Handbook (7^{th} Edition):

Shojaie, Ali. “Estimation and Inference in High Dimensional Networks, with Applications to Biological Systems.” 2010. Web. 25 Nov 2020.

Vancouver:

Shojaie A. Estimation and Inference in High Dimensional Networks, with Applications to Biological Systems. [Internet] [Doctoral dissertation]. University of Michigan; 2010. [cited 2020 Nov 25]. Available from: http://hdl.handle.net/2027.42/77775.

Council of Science Editors:

Shojaie A. Estimation and Inference in High Dimensional Networks, with Applications to Biological Systems. [Doctoral Dissertation]. University of Michigan; 2010. Available from: http://hdl.handle.net/2027.42/77775