1. Optimal Inference with a Multidimensional Multiscale Statistic Datta, Pratyay 2023 Theses StatisticsStochastic processesGaussian processesMultiscale modeling
2. Signal-to-noise ratio aware minimaxity and its asymptotic expansion Guo, Yilin 2023 Theses StatisticsMaxima and minimaGaussian processes
3. Resource-Efficient Methods in Machine Learning Vodrahalli, Kiran Nagesh 2022 Theses Computer scienceNeural networks (Computer science)Machine learningGaussian processesHermite polynomials
4. Event History Analysis in Multivariate Longitudinal Data Yuan, Chaoyu 2021 Theses StatisticsBayesian statistical decision theoryMarkov processesGaussian processesMedical statisticsMyocardial infarctionLongitudinal studies
5. High-dimensional Asymptotics for Phase Retrieval with Structured Sensing Matrices Dudeja, Rishabh 2021 Theses StatisticsGaussian processesMatricesIterative methods (Mathematics)
6. On the Construction of Minimax Optimal Nonparametric Tests with Kernel Embedding Methods Li, Tong 2021 Theses StatisticsGaussian processesNonparametric statistics
7. Exact simulation algorithms with applications in queueing theory and extreme value analysis Liu, Zhipeng 2020 Theses Operations researchStatisticsIndustrial engineeringQueuing theoryAlgorithmsMonte Carlo methodGaussian processesSimulation methods