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