1. Advances in Non-Stationary Sequential Decision-Making Suk, Joseph 2024 Theses StatisticsDecision makingReinforcement learningSmoothing (Statistics)
2. Application of Distance Covariance to Time Series Modeling and Assessing Goodness-of-Fit Fernandes, Leon 2024 Theses StatisticsTime-series analysis--Mathematical modelsTime-series analysis--Statistical methodsTime-series analysis--Data processingStochastic analysisAnalysis of covariance--Mathematical modelsGoodness-of-fit tests
3. Nonparametric Methods for Measuring Conditional Dependence, Multi-Sample Dissimilarity, and Testing for Symmetry Huang, Zhen 2024 Theses StatisticsSymmetry (Mathematics)Statistical hypothesis testingMultivariate analysisHotelling, Harold, 1895-1973
4. On Modeling Spatial Time-to-Event Data with Missing Censoring Type Lu, Diane 2024 Theses StatisticsMedical statisticsStatistics--ModelsBayesian statistical decision theory--Mathematical modelsHydraulics--Statistical methodsLeaves--Anatomy
5. On Some Problems In Transfer Learning Galbraith, Nicholas R. 2024 Theses StatisticsReinforcement learningTransfer learning (Machine learning)Markov processesClassificationData mining--Statistical methods
6. Representation Learning and Causal Inference Methods for Analyzing Consumer Decision-Making Oblander, Elliot Shin 2024 Theses MarketingEconomicsStatisticsConsumer behaviorCOVID-19 Pandemic (2020-)Consumers--ResearchConsumers--PsychologyVideo games--Economic aspectsDecision making--Econometric models
7. Semiparametric Modeling and Analysis for Time-varying Network Data Sun, Jiajin 2024 Theses StatisticsLongitudinal methodPanel analysisEmbeddings (Mathematics)Latent variablesDavid Cox (statistician)
8. Statistically and Computationally Efficient Resampling and Distributionally Robust Optimization with Applications Liu, Zhenyuan 2024 Theses Operations researchStatisticsRobust optimizationResampling (Statistics)Gaussian processesBootstrap (Statistics)Monte Carlo method
9. Statistically Efficient Methods for Computation-Aware Uncertainty Quantification and Rare-Event Optimization He, Shengyi 2024 Theses Operations researchStatisticsStochastic processes--Mathematical modelsMathematical optimizationBootstrap (Statistics)Sampling (Statistics)
10. Topics on Machine Learning under Imperfect Supervision Yuan, Gan 2024 Theses StatisticsComputer scienceMachine learning--Statistical methodsTransfer learning (Machine learning)Active learningBayesian statistical decision theoryCrowns (Botany)Gaussian processes