Degree Level: Doctoral / Academic Unit: Statistics | Search Results

: Huang, Chien-Hsun
: 2014
: Theses
: Epistasis (Genetics)Instrumental variables (Statistics)Nonparametric statisticsCluster analysisMachine learning--Statistical methodsStatistics

22. Limit Theory for Spatial Processes, Bootstrap Quantile Variance Estimators, and Efficiency Measures for Markov Chain Monte Carlo

: Yang, Xuan
: 2014
: Theses
: Statistics

23. Mathematical Modeling of Insider Trading

: Bilina Falafala, Roseline
: 2014
: Theses
: MathematicsFinance

24. Mixed Methods for Mixed Models

: Dorie, Vincent Joseph
: 2014
: Theses
: Statistics

25. Semiparametric Estimation of a Gaptime-Associated Hazard Function

: Teravainen, Timothy
: 2014
: Theses
: Proportional hazards modelsSurvival analysis (Biometry)Bayesian statistical decision theoryStatisticsElectrical engineering

26. Statistical Inference and Experimental Design for Q-matrix Based Cognitive Diagnosis Models

: Zhang, Stephanie
: 2014
: Theses
: StatisticsEducational tests and measurementsPsychometrics

27. Unbiased Penetrance Estimates with Unknown Ascertainment Strategies

: Gore, Kristen
: 2014
: Theses
: Statistics

28. A Graphon-based Framework for Modeling Large Networks

: He, Ran
: 2015
: Theses
: StatisticsAlgorithmsNetwork analysis (Planning)--Mathematical models

29. An Assortment of Unsupervised and Supervised Applications to Large Data

: Agne, Michael Robert
: 2015
: Theses
: StatisticsBiometry

30. Efficiency in Lung Transplant Allocation Strategies

: Zou, Jingjing
: 2015
: Theses
: Statistics

31. On Identifying Rare Variants for Complex Human Traits

: Fan, Ruixue
: 2015
: Theses
: Regression analysisGenetics--Statistical methodsGenomics--Data processingHuman genetics--VariationStatisticsBioinformatics

32. Advances in Model Selection Techniques with Applications to Statistical Network Analysis and Recommender Systems

: Franco Saldana, Diego
: 2016
: Theses
: Linear models (Statistics)ProbabilitiesProportional hazards modelsStatistics

33. Asymptotic Theory and Applications of Random Functions

: Li, Xiaoou
: 2016
: Theses
: Monte Carlo methodDifferential equations, PartialDifferential equations, Partial--Asymptotic theoryMathematical statisticsStatistics

34. Latent Variable Modeling and Statistical Learning

: Chen, Yunxiao
: 2016
: Theses
: Educational tests and measurements--Statistical methodsPsychological tests--Statistical methodsLearning, Psychology of--Mathematical modelsLatent variablesStatistics

35. Measuring Spatial Extremal Dependence

: Cho, Yong Bum
: 2016
: Theses
: Spatial analysis (Statistics)StatisticsBootstrap (Statistics)Extremal problems (Mathematics)

36. Methods for Personalized and Evidence Based Medicine

: Shahn, Zach
: 2016
: Theses
: Evidence-based medicineMedical care--StatisticsPersonalized medicineStatistics

37. On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference

: Wang, Wei
: 2016
: Theses
: Social sciences--Statistical methods--Data processingStatistics

38. Semiparametric inference with shape constraints

: Patra, Rohit Kumar
: 2016
: Theses
: Regression analysisMathematical statisticsProbabilitiesStatisticsStatistics

39. Spectral Filtering for Spatio-temporal Dynamics and Multivariate Forecasts

: Meng, Lu
: 2016
: Theses
: Mathematical statistics--Data processingDynamicsDimension reduction (Statistics)Statistics

40. Advances in Credit Risk Modeling

: Neuberg, Richard
: 2017
: Theses
: Financial riskFinancial risk managementFinance--Statistical methodsFinance--StatisticsCredit--Management--Statistical methodsStatisticsFinance

41. A unified view of high-dimensional bridge regression

: Weng, Haolei
: 2017
: Theses
: StatisticsRegression analysisMathematics

42. Distributionally Robust Optimization and its Applications in Machine Learning

: Kang, Yang
: 2017
: Theses
: StatisticsRobust optimizationMachine learningMathematical optimization

43. Distributionally Robust Performance Analysis with Applications to Mine Valuation and Risk

: Dolan, Christopher James
: 2017
: Theses
: StatisticsMine valuation--Statistical methodsRobust statistics

44. Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries

: Mittel, Louis Buchalter
: 2017
: Theses
: StatisticsLatent variablesEstimation theory

45. Empirical Bayes, Bayes factors and deoxyribonucleic acid fingerprinting

: Basu, Ruma
: 2017
: Theses
: StatisticsDNA fingerprintingBioinformatics

46. Essays on Matching and Weighting for Causal Inference in Observational Studies

: Resa Juárez, María de los Angeles
: 2017
: Theses
: StatisticsInferenceStatistical matchingProbabilities

47. Expansion of a filtration with a stochastic process: a high frequency trading perspective

: Neufcourt, Léo
: 2017
: Theses
: StatisticsMathematicsFinance

48. Flexible Sparse Learning of Feature Subspaces

: Ma, Yuting
: 2017
: Theses
: Mathematical statisticsMachine learning--Statistical methodsMachine learningStatistics

49. Random Walk Models, Preferential Attachment, and Sequential Monte Carlo Methods for Analysis of Network Data

: Bloem-Reddy, Benjamin Michael
: 2017
: Theses
: Computer networksMarkov processesInformation networks--Statistical methodsMonte Carlo methodStatistics

50. Statistical Machine Learning Methods for High-dimensional Neural Population Data Analysis

: Gao, Yuanjun
: 2017
: Theses
: StatisticsNeurosciencesDimensional analysis

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1. Bayesian Model Selection in terms of Kullback-Leibler discrepancy

2. Contagion and Systemic Risk in Financial Networks

3. High dimensional information processing

4. Optimal Trading Strategies Under Arbitrage

5. Self-controlled methods for postmarketing drug safety surveillance in large-scale longitudinal data

6. Some Nonparametric Methods for Clinical Trials and High Dimensional Data

7. Statistical methods for indirectly observed network data

8. Two Approaches to Non-Zero-Sum Stochastic Differential Games of Control and Stopping

9. Contributions to Semiparametric Inference to Biased-Sampled and Financial Data

10. Detecting Dependence Change Points in Multivariate Time Series with Applications in Neuroscience and Finance

11. Modeling Strategies for Large Dimensional Vector Autoregressions

12. Some Models for Time Series of Counts

13. Statistical inference in two non-standard regression problems

14. Credit Risk Modeling and Analysis Using Copula Method and Changepoint Approach to Survival Data

15. Estimation and Testing Methods for Monotone Transformation Models

16. Generalized Volatility-Stabilized Processes

17. Kernel-based association measures

18. On optimal arbitrage under constraints

19. Statistical Inference for Diagnostic Classification Models

20. A Point Process Model for the Dynamics of Limit Order Books

21. Interaction-Based Learning for High-Dimensional Data with Continuous Predictors

22. Limit Theory for Spatial Processes, Bootstrap Quantile Variance Estimators, and Efficiency Measures for Markov Chain Monte Carlo

23. Mathematical Modeling of Insider Trading

24. Mixed Methods for Mixed Models

25. Semiparametric Estimation of a Gaptime-Associated Hazard Function

26. Statistical Inference and Experimental Design for Q-matrix Based Cognitive Diagnosis Models

27. Unbiased Penetrance Estimates with Unknown Ascertainment Strategies

28. A Graphon-based Framework for Modeling Large Networks

29. An Assortment of Unsupervised and Supervised Applications to Large Data

30. Efficiency in Lung Transplant Allocation Strategies

31. On Identifying Rare Variants for Complex Human Traits

32. Advances in Model Selection Techniques with Applications to Statistical Network Analysis and Recommender Systems

33. Asymptotic Theory and Applications of Random Functions

34. Latent Variable Modeling and Statistical Learning

35. Measuring Spatial Extremal Dependence

36. Methods for Personalized and Evidence Based Medicine

37. On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference

38. Semiparametric inference with shape constraints

39. Spectral Filtering for Spatio-temporal Dynamics and Multivariate Forecasts

40. Advances in Credit Risk Modeling

41. A unified view of high-dimensional bridge regression

42. Distributionally Robust Optimization and its Applications in Machine Learning

43. Distributionally Robust Performance Analysis with Applications to Mine Valuation and Risk

44. Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries

45. Empirical Bayes, Bayes factors and deoxyribonucleic acid fingerprinting

46. Essays on Matching and Weighting for Causal Inference in Observational Studies

47. Expansion of a filtration with a stochastic process: a high frequency trading perspective

48. Flexible Sparse Learning of Feature Subspaces

49. Random Walk Models, Preferential Attachment, and Sequential Monte Carlo Methods for Analysis of Network Data

50. Statistical Machine Learning Methods for High-dimensional Neural Population Data Analysis