1. On Some Problems In Transfer Learning Galbraith, Nicholas R. 2024 Theses StatisticsReinforcement learningTransfer learning (Machine learning)Markov processesClassificationData mining--Statistical methods
2. Inference in ERGMs and Ising Models. Xu, Yuanzhe 2023 Theses StatisticsRandom graphsIsing modelMarkov processesGaussian Markov random fields
3. Large Dimensional Data Analysis using Orthogonally Decomposable Tensors: Statistical Optimality and Computational Tractability Auddy, Arnab 2023 Theses StatisticsCalculus of tensorsMathematical optimizationDecomposition (Mathematics)Error analysis (Mathematics)
4. Martingale Schrodinger Bridges and Optimal Semistatic Portfolios Zhao, Long 2023 Theses StatisticsMathematicsOptions (Finance)--Mathematical modelsStocksInternational finance--Statistics
5. On the Multiway Principal Component Analysis Ouyang, Jialin 2023 Theses StatisticsPrincipal components analysisSingular value decomposition
6. Optimal Inference with a Multidimensional Multiscale Statistic Datta, Pratyay 2023 Theses StatisticsStochastic processesGaussian processesMultiscale modeling
7. Process Data Applications in Educational Assessment Qi, Jitong 2023 Theses StatisticsEducation--Computer-assisted instructionEducational tests and measurements--Statistical methodsProblem solving
8. Signal-to-noise ratio aware minimaxity and its asymptotic expansion Guo, Yilin 2023 Theses StatisticsMaxima and minimaGaussian processes
9. Statistical Methods for Structured Data: Analyses of Discrete Time Series and Networks Palmer, William Reed 2023 Theses StatisticsTime-series analysis--Statistical methodsBayesian statistical decision theoryCOVID-19 (Disease)--Data processingCOVID-19 (Disease)--MortalityDiseases--Statistics
10. Advances in Machine Learning for Complex Structured Functional Data Tang, Chengliang 2022 Theses StatisticsMachine learning--Statistical methodsStatistical functionals