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1. Advances in Machine Learning for Compositional Data

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

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

Deb, Nabarun
2022
Theses
StatisticsMathematicsStatistical hypothesis testing

3. Latent Variable Models for Events on Social Networks

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

4. Modeling Random Events

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

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

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

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

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

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

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

8. Statistical Perspectives on Modern Network Embedding Methods

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

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

Zhou, Ding
2021
Theses
StatisticsNeurosciencesBayesian statistical decision theoryCalcium imaging

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

Garrido Garcia, Miguel Angel
2021
Theses
StatisticsMathematicsStochastic processesStochastic differential equations

11. Event History Analysis in Multivariate Longitudinal Data

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

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

Dudeja, Rishabh
2021
Theses
StatisticsGaussian processesMatricesIterative methods (Mathematics)

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

Li, Tong
2021
Theses
StatisticsGaussian processesNonparametric statistics

14. Phase retrieval in the high-dimensional regime

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

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

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

16. Statistical Learning for Process Data

Wang, Zhi
2021
Theses
StatisticsComputer-assisted instructionProblem solving

17. Toward a scalable Bayesian workflow

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

18. Community Detection in Social Networks: Multilayer Networks and Pairwise Covariates

Huang, Sihan
2020
Theses
StatisticsMachine learningSocial networksAlgorithms--Evaluation

19. Deep Probabilistic Graphical Modeling

Dieng, Adji Bousso
2020
Theses
StatisticsComputer scienceGraphical modeling (Statistics)Machine learning

20. High-dimensional asymptotics: new insights and methods

Wang, Shuaiwen
2020
Theses
StatisticsLinear models (Statistics)Regression analysis--Asymptotic theoryEstimation theory--Asymptotic theoryStandard deviations