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1. Inference in ERGMs and Ising Models.

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

2. Advances in Machine Learning for Complex Structured Functional Data

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

3. Advances in Machine Learning for Compositional Data

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

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

Deb, Nabarun
2022
Theses
StatisticsMathematicsStatistical hypothesis testing

5. Latent Variable Models for Events on Social Networks

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

6. Modeling Random Events

Quintos Lima, Alejandra
2022
Theses
Mathematical modelsStatisticsRandom data (Statistics)MicrofinanceMarkets--ForecastingFinancial crises--Mathematical models

7. Modernizing Markov Chains Monte Carlo for Scientific and Bayesian Modeling

Margossian, Charles Christopher
2022
Theses
StatisticsBayesian statistical decision theoryMarkov processesMonte Carlo method

8. On Recovering the Best Rank-? Approximation from Few Entries

Xu, Shun
2022
Theses
StatisticsRanking and selection (Statistics)--Data processing

9. 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

10. Statistical approach to tagging stellar birth groups in the Milky Way

Ratcliffe, Bridget Lynn
2022
Theses
AstronomyStatisticsStars--FormationStars--Age--MeasurementGalaxies--Formation

11. Statistical Perspectives on Modern Network Embedding Methods

Davison, Andrew
2022
Theses
StatisticsMachine learning--Statistical methodsMachine learning--Graphic methodsComputer networks

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

Zhou, Ding
2021
Theses
StatisticsNeurosciencesBayesian statistical decision theoryCalcium imaging

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

Garrido Garcia, Miguel Angel
2021
Theses
StatisticsMathematicsStochastic processesStochastic differential equations

14. Event History Analysis in Multivariate Longitudinal Data

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

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

Dudeja, Rishabh
2021
Theses
StatisticsGaussian processesMatricesIterative methods (Mathematics)

16. On the Construction of Minimax Optimal Nonparametric Tests with Kernel Embedding Methods

Li, Tong
2021
Theses
StatisticsGaussian processesNonparametric statistics

17. Phase retrieval in the high-dimensional regime

Bakhshizadeh, Milad
2021
Theses
StatisticsX-ray crystallographyX-ray diffraction imagingAstronomical photographySpectrum analysis

18. Semiparametric Inference of Censored Data with Time-dependent Covariates

Chu, Chi Wing
2021
Theses
StatisticsAnalysis of covarianceAIDS (Disease)Clinical trials

19. Statistical Learning for Process Data

Wang, Zhi
2021
Theses
StatisticsComputer-assisted instructionProblem solving

20. Toward a scalable Bayesian workflow

Yao, Yuling
2021
Theses
StatisticsBayesian statistical decision theoryBayesian statistical decision theory--Mathematical models