1. Inference in ERGMs and Ising Models. Xu, Yuanzhe 2023 Theses StatisticsRandom graphsIsing modelMarkov processesGaussian Markov random fields
2. Martingale Schrodinger Bridges and Optimal Semistatic Portfolios Zhao, Long 2023 Theses StatisticsMathematicsOptions (Finance)--Mathematical modelsStocksInternational finance--Statistics
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. Blessing of Dependence and Distribution-Freeness in Statistical Hypothesis Testing Deb, Nabarun 2022 Theses StatisticsMathematicsStatistical hypothesis testing
6. Latent Variable Models for Events on Social Networks Ward, Owen Gerard 2022 Theses StatisticsSocial networksOnline social networksSocial hierarchy in animalsMarkov processesLatent variables
7. Modeling Random Events Quintos Lima, Alejandra 2022 Theses Mathematical modelsStatisticsRandom data (Statistics)MicrofinanceMarkets--ForecastingFinancial crises--Mathematical models
8. Modernizing Markov Chains Monte Carlo for Scientific and Bayesian Modeling Margossian, Charles Christopher 2022 Theses StatisticsBayesian statistical decision theoryMarkov processesMonte Carlo method
9. On Recovering the Best Rank-? Approximation from Few Entries Xu, Shun 2022 Theses StatisticsRanking and selection (Statistics)--Data processing
10. Overlapping Communities on Large-Scale Networks: Benchmark Generation and Learning via Adaptive Stochastic Optimization Grande, Alessandro Antonio 2022 Theses StatisticsMathematicsStochastic processesMathematical optimizationComputer networksMachine learning--Statistical methods
11. Statistical approach to tagging stellar birth groups in the Milky Way Ratcliffe, Bridget Lynn 2022 Theses AstronomyStatisticsStars--FormationStars--Age--MeasurementGalaxies--Formation
12. Statistical Perspectives on Modern Network Embedding Methods Davison, Andrew 2022 Theses StatisticsMachine learning--Statistical methodsMachine learning--Graphic methodsComputer networks
13. Advances in Statistical Machine Learning Methods for Neural Data Science Zhou, Ding 2021 Theses StatisticsNeurosciencesBayesian statistical decision theoryCalcium imaging
14. Characterization of the Fluctuations in a Symmetric Ensemble of Rank-Based Interacting Particles Garrido Garcia, Miguel Angel 2021 Theses StatisticsMathematicsStochastic processesStochastic differential equations
15. Event History Analysis in Multivariate Longitudinal Data Yuan, Chaoyu 2021 Theses StatisticsBayesian statistical decision theoryMarkov processesGaussian processesMedical statisticsMyocardial infarctionLongitudinal studies
16. High-dimensional Asymptotics for Phase Retrieval with Structured Sensing Matrices Dudeja, Rishabh 2021 Theses StatisticsGaussian processesMatricesIterative methods (Mathematics)
17. On the Construction of Minimax Optimal Nonparametric Tests with Kernel Embedding Methods Li, Tong 2021 Theses StatisticsGaussian processesNonparametric statistics
18. Phase retrieval in the high-dimensional regime Bakhshizadeh, Milad 2021 Theses StatisticsX-ray crystallographyX-ray diffraction imagingAstronomical photographySpectrum analysis
19. Semiparametric Inference of Censored Data with Time-dependent Covariates Chu, Chi Wing 2021 Theses StatisticsAnalysis of covarianceAIDS (Disease)Clinical trials
20. Statistical Learning for Process Data Wang, Zhi 2021 Theses StatisticsComputer-assisted instructionProblem solving