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 Non-Stationary Sequential Decision-Making Suk, Joseph 2024 Theses StatisticsDecision makingReinforcement learningSmoothing (Statistics)
7. Advances in Statistical Machine Learning Methods for Neural Data Science Zhou, Ding 2021 Theses StatisticsNeurosciencesBayesian statistical decision theoryCalcium imaging
8. A Graphon-based Framework for Modeling Large Networks He, Ran 2015 Theses StatisticsAlgorithmsNetwork analysis (Planning)--Mathematical models
9. An Assortment of Unsupervised and Supervised Applications to Large Data Agne, Michael Robert 2015 Theses StatisticsBiometry
10. A Point Process Model for the Dynamics of Limit Order Books Vinkovskaya, Ekaterina 2014 Theses Statistics
11. 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
12. Application of Distance Covariance to Time Series Modeling and Assessing Goodness-of-Fit Fernandes, Leon 2024 Theses StatisticsTime-series analysis--Mathematical modelsTime-series analysis--Statistical methodsTime-series analysis--Data processingStochastic analysisAnalysis of covariance--Mathematical modelsGoodness-of-fit tests
13. Asymptotic Theory and Applications of Random Functions Li, Xiaoou 2016 Theses Monte Carlo methodDifferential equations, PartialDifferential equations, Partial--Asymptotic theoryMathematical statisticsStatistics
14. A unified view of high-dimensional bridge regression Weng, Haolei 2017 Theses StatisticsRegression analysisMathematics
15. 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
16. Bayesian Model Selection in terms of Kullback-Leibler discrepancy Zhou, Shouhao 2011 Theses Statistics
17. Blessing of Dependence and Distribution-Freeness in Statistical Hypothesis Testing Deb, Nabarun 2022 Theses StatisticsMathematicsStatistical hypothesis testing
18. Characterization of the Fluctuations in a Symmetric Ensemble of Rank-Based Interacting Particles Garrido Garcia, Miguel Angel 2021 Theses StatisticsMathematicsStochastic processesStochastic differential equations
19. Community Detection in Social Networks: Multilayer Networks and Pairwise Covariates Huang, Sihan 2020 Theses StatisticsMachine learningGraphsSocial networksAlgorithms--Evaluation