Academic Unit: Statistics / Type: Theses | Search Results

1. Advances in Credit Risk Modeling

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

2. Advances in Deep Generative Modeling With Applications to Image Generation and Neuroscience

: Loaiza Ganem, Gabriel
: 2019
: Theses
: StatisticsMachine learningComputer simulationNeurosciences--Data processingNeural networks (Computer science)Digital images

3. Advances in Machine Learning for Complex Structured Functional Data

: Tang, Chengliang
: 2022
: Theses
: StatisticsMachine learning--Statistical methodsStatistical functionals

4. Advances in Machine Learning for Compositional Data

: Gordon Rodriguez, Elliott
: 2022
: Theses
: StatisticsMachine learning--Statistical methodsGeochemistryBacteriology

5. 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

6. Advances in Statistical Machine Learning Methods for Neural Data Science

: Zhou, Ding
: 2021
: Theses
: StatisticsNeurosciencesBayesian statistical decision theoryCalcium imaging

7. A Graphon-based Framework for Modeling Large Networks

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

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

: Agne, Michael Robert
: 2015
: Theses
: StatisticsBiometry

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

: Vinkovskaya, Ekaterina
: 2014
: Theses
: Statistics

10. Application of Distance Covariance to Extremes and Time Series and Inference for Linear Preferential Attachment Networks

: Wan, Phyllis
: 2018
: Theses
: StatisticsAnalysis of covarianceTime-series analysis--Mathematical modelsMultivariate analysisSystem analysis

11. Asymptotic Theory and Applications of Random Functions

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

12. A unified view of high-dimensional bridge regression

: Weng, Haolei
: 2017
: Theses
: StatisticsRegression analysisMathematics

13. Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine

: Lu, Feihan
: 2018
: Theses
: StatisticsBayesian statistical decision theoryData structures (Computer science)Neurosciences--Data processingMedicine--Data processing

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

: Zhou, Shouhao
: 2011
: Theses
: Statistics

15. Blessing of Dependence and Distribution-Freeness in Statistical Hypothesis Testing

: Deb, Nabarun
: 2022
: Theses
: StatisticsMathematicsStatistical hypothesis testing

16. Characterization of the Fluctuations in a Symmetric Ensemble of Rank-Based Interacting Particles

: Garrido Garcia, Miguel Angel
: 2021
: Theses
: StatisticsMathematicsStochastic processesStochastic differential equations

17. Community Detection in Social Networks: Multilayer Networks and Pairwise Covariates

: Huang, Sihan
: 2020
: Theses
: StatisticsMachine learningSocial networksAlgorithms--Evaluation

18. Contagion and Systemic Risk in Financial Networks

: Moussa, Amal
: 2011
: Theses
: FinanceStatistics

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

: Sit, Tony
: 2012
: Theses
: Statistics

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

: Qian, Bo
: 2013
: Theses
: Statistics

21. Deep Probabilistic Graphical Modeling

: Dieng, Adji Bousso
: 2020
: Theses
: StatisticsComputer scienceGraphical modeling (Statistics)Machine learning

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

: Cribben, Ivor John
: 2012
: Theses
: Statistics

23. Distributionally Robust Optimization and its Applications in Machine Learning

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

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

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

25. Efficiency in Lung Transplant Allocation Strategies

: Zou, Jingjing
: 2015
: Theses
: Statistics

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

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

27. Empirical Bayes, Bayes factors and deoxyribonucleic acid fingerprinting

: Basu, Ruma
: 2017
: Theses
: StatisticsDNA fingerprintingBioinformatics

28. Essays in Cluster Sampling and Causal Inference

: Makela, Susanna
: 2018
: Theses
: StatisticsMathematical statisticsCluster analysisErrors-in-variables models

29. Essays in High Dimensional Time Series Analysis

: Yousuf, Kashif
: 2019
: Theses
: StatisticsEconomicsTime-series analysisTime-series analysis--Data processingRegression analysis

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

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

31. Estimation and Testing Methods for Monotone Transformation Models

: Zhang, Junyi
: 2013
: Theses
: Statistics

32. Event History Analysis in Multivariate Longitudinal Data

: Yuan, Chaoyu
: 2021
: Theses
: StatisticsBayesian statistical decision theoryMarkov processesGaussian processesMedical statisticsMyocardial infarctionLongitudinal studies

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

: Neufcourt, Léo
: 2017
: Theses
: StatisticsMathematicsFinance

34. Flexible Sparse Learning of Feature Subspaces

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

35. Generalized Volatility-Stabilized Processes

: Pickova, Radka
: 2013
: Theses
: Statistics

36. High-dimensional Asymptotics for Phase Retrieval with Structured Sensing Matrices

: Dudeja, Rishabh
: 2021
: Theses
: StatisticsGaussian processesMatricesIterative methods (Mathematics)

37. High-dimensional asymptotics: new insights and methods

: Wang, Shuaiwen
: 2020
: Theses
: StatisticsLinear models (Statistics)Regression analysis--Asymptotic theoryEstimation theory--Asymptotic theoryStandard deviations

38. High dimensional information processing

: Rahnama Rad, Kamiar
: 2011
: Theses
: NeurosciencesMathematics

39. Inference in ERGMs and Ising Models.

: Xu, Yuanzhe
: 2023
: Theses
: StatisticsRandom graphsIsing modelMarkov processesGaussian Markov random fields

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

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

41. Kernel-based association measures

: Liu, Ying
: 2013
: Theses
: StatisticsComputer science

42. Latent Variable Modeling and Statistical Learning

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

43. Latent Variable Models for Events on Social Networks

: Ward, Owen Gerard
: 2022
: Theses
: StatisticsSocial networksOnline social networksSocial hierarchy in animalsMarkov processesLatent variables

44. Latent Variable Models in Measurement: Theory and Application

: Fang, Guanhua
: 2020
: Theses
: StatisticsLatent variablesMathematical modelsPsychometrics--Mathematical modelsEducational tests and measurements

45. Limit theorems beyond sums of I.I.D observations

: Austern, Morgane
: 2019
: Theses
: StatisticsMathematicsLimit theorems (Probability theory)Symmetry (Mathematics)Central limit theorem

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

: Yang, Xuan
: 2014
: Theses
: Statistics

47. Linear Constraints in Optimal Transport

: Stebegg, Florian
: 2019
: Theses
: StatisticsMathematicsMartingales (Mathematics)

48. Mathematical Modeling of Insider Trading

: Bilina Falafala, Roseline
: 2014
: Theses
: MathematicsFinance

49. Measuring Spatial Extremal Dependence

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

50. Methods for Personalized and Evidence Based Medicine

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

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Search Results

1. Advances in Credit Risk Modeling

2. Advances in Deep Generative Modeling With Applications to Image Generation and Neuroscience

3. Advances in Machine Learning for Complex Structured Functional Data

4. Advances in Machine Learning for Compositional Data

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

6. Advances in Statistical Machine Learning Methods for Neural Data Science

7. A Graphon-based Framework for Modeling Large Networks

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

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

10. Application of Distance Covariance to Extremes and Time Series and Inference for Linear Preferential Attachment Networks

11. Asymptotic Theory and Applications of Random Functions

12. A unified view of high-dimensional bridge regression

13. Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine

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

15. Blessing of Dependence and Distribution-Freeness in Statistical Hypothesis Testing

16. Characterization of the Fluctuations in a Symmetric Ensemble of Rank-Based Interacting Particles

17. Community Detection in Social Networks: Multilayer Networks and Pairwise Covariates

18. Contagion and Systemic Risk in Financial Networks

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

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

21. Deep Probabilistic Graphical Modeling

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

23. Distributionally Robust Optimization and its Applications in Machine Learning

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

25. Efficiency in Lung Transplant Allocation Strategies

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

27. Empirical Bayes, Bayes factors and deoxyribonucleic acid fingerprinting

28. Essays in Cluster Sampling and Causal Inference

29. Essays in High Dimensional Time Series Analysis

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

31. Estimation and Testing Methods for Monotone Transformation Models

32. Event History Analysis in Multivariate Longitudinal Data

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

34. Flexible Sparse Learning of Feature Subspaces

35. Generalized Volatility-Stabilized Processes

36. High-dimensional Asymptotics for Phase Retrieval with Structured Sensing Matrices

37. High-dimensional asymptotics: new insights and methods

38. High dimensional information processing

39. Inference in ERGMs and Ising Models.

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

41. Kernel-based association measures

42. Latent Variable Modeling and Statistical Learning

43. Latent Variable Models for Events on Social Networks

44. Latent Variable Models in Measurement: Theory and Application

45. Limit theorems beyond sums of I.I.D observations

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

47. Linear Constraints in Optimal Transport

48. Mathematical Modeling of Insider Trading

49. Measuring Spatial Extremal Dependence

50. Methods for Personalized and Evidence Based Medicine