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
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
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
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
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
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