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
21. Community Detection in Social Networks: Multilayer Networks and Pairwise Covariates Huang, Sihan 2020 Theses StatisticsMachine learningSocial networksAlgorithms--Evaluation
22. Deep Probabilistic Graphical Modeling Dieng, Adji Bousso 2020 Theses StatisticsComputer scienceGraphical modeling (Statistics)Machine learning
23. High-dimensional asymptotics: new insights and methods Wang, Shuaiwen 2020 Theses StatisticsLinear models (Statistics)Regression analysis--Asymptotic theoryEstimation theory--Asymptotic theoryStandard deviations
24. Latent Variable Models in Measurement: Theory and Application Fang, Guanhua 2020 Theses StatisticsLatent variablesMathematical modelsPsychometrics--Mathematical modelsEducational tests and measurements
25. Multiple Causal Inference with Bayesian Factor Models Wang, Yixin 2020 Theses StatisticsInferenceAlgorithms--DesignBayesian statistical decision theory
26. New perspectives in cross-validation Zhou, Wenda 2020 Theses StatisticsStatistics--MethodologyStatistics--Models
27. Partition-based Model Representation Learning Hsu, Yayun 2020 Theses StatisticsInference--Data processingStatistics--MethodologyStatistics--ModelsMachine learning--Statistical methods
28. Some Statistical Models for Prediction Auerbach, Jonathan Lyle 2020 Theses StatisticsPublic policy (Law)Skyscrapers--Design and constructionPresidents--ElectionClimatic changes--Statistical methodsCriminal statisticsTraffic fatalities
29. Statistical Analysis of Complex Data in Survival and Event History Analysis Ling, Hok Kan 2020 Theses StatisticsSurvivalEvent history analysis
30. 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
31. Essays in High Dimensional Time Series Analysis Yousuf, Kashif 2019 Theses StatisticsEconomicsTime-series analysisTime-series analysis--Data processingRegression analysis
32. Limit theorems beyond sums of I.I.D observations Austern, Morgane 2019 Theses StatisticsMathematicsLimit theorems (Probability theory)Symmetry (Mathematics)Central limit theorem
33. Linear Constraints in Optimal Transport Stebegg, Florian 2019 Theses StatisticsMathematicsMartingales (Mathematics)
34. Point Process Models for Heterogeneous Event Time Data Wu, Jing 2019 Theses StatisticsPoint processesSocial structureSocial sciences--Data processingOnline social networks
35. Scalable Community Detection in Massive Networks using Aggregated Relational Data Jones, Timothy 2019 Theses StatisticsSystem analysisRelational databases
36. 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
37. 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
38. Essays in Cluster Sampling and Causal Inference Makela, Susanna 2018 Theses StatisticsMathematical statisticsCluster analysisErrors-in-variables models
39. Minimax-inspired Semiparametric Estimation and Causal Inference Hirshberg, David Abraham 2018 Theses StatisticsParameter estimationMathematical statistics
40. Selected Legal Applications for Bayesian Methods Cheng, Edward K. 2018 Theses StatisticsLawBayesian statistical decision theoryLaw--Statistical methods
41. Statistical Machine Learning Methods for the Large Scale Analysis of Neural Data Mena, Gonzalo Esteban 2018 Theses StatisticsMachine learningNeural circuitry--Data processingNeurotechnology (Bioengineering)
42. Stochastic Differential Equations and Strict Local Martingales Qiu, Lisha 2018 Theses StatisticsMathematicsStochastic differential equationsMartingales (Mathematics)Convergence
43. Topics in Computational Bayesian Statistics With Applications to Hierarchical Models in Astronomy and Sociology Sahai, Swupnil 2018 Theses StatisticsAstronomySociologyBayesian statistical decision theoryMultilevel models (Statistics)
44. Advances in Credit Risk Modeling Neuberg, Richard 2017 Theses Financial riskFinancial risk managementFinance--Statistical methodsFinance--StatisticsCredit--Management--Statistical methodsStatisticsFinance
45. A unified view of high-dimensional bridge regression Weng, Haolei 2017 Theses StatisticsRegression analysisMathematics
46. Distributionally Robust Optimization and its Applications in Machine Learning Kang, Yang 2017 Theses StatisticsRobust optimizationMachine learningMathematical optimization
47. Distributionally Robust Performance Analysis with Applications to Mine Valuation and Risk Dolan, Christopher James 2017 Theses StatisticsMine valuation--Statistical methodsRobust statistics
48. Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries Mittel, Louis Buchalter 2017 Theses StatisticsLatent variablesEstimation theory
49. Empirical Bayes, Bayes factors and deoxyribonucleic acid fingerprinting Basu, Ruma 2017 Theses StatisticsDNA fingerprintingBioinformatics
50. Essays on Matching and Weighting for Causal Inference in Observational Studies Resa Juárez, María de los Angeles 2017 Theses StatisticsInferenceStatistical matchingProbabilities