21. Deep Probabilistic Graphical Modeling Dieng, Adji Bousso 2020 Theses StatisticsComputer scienceGraphical modeling (Statistics)Probabilities--Data processingMachine learning
22. Detecting Dependence Change Points in Multivariate Time Series with Applications in Neuroscience and Finance Cribben, Ivor John 2012 Theses Statistics
23. Distributionally Robust Optimization and its Applications in Machine Learning Kang, Yang 2017 Theses StatisticsRobust optimizationMachine learningMathematical optimization
24. Distributionally Robust Performance Analysis with Applications to Mine Valuation and Risk Dolan, Christopher James 2017 Theses StatisticsMine valuation--Statistical methodsRobust statistics
26. Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries Mittel, Louis Buchalter 2017 Theses StatisticsLatent variablesEstimation theory
27. Empirical Bayes, Bayes factors and deoxyribonucleic acid fingerprinting Basu, Ruma 2017 Theses StatisticsDNA fingerprintingBioinformatics
28. Essays in Cluster Sampling and Causal Inference Makela, Susanna 2018 Theses StatisticsMathematical statisticsCluster analysisErrors-in-variables models
29. Essays in High Dimensional Time Series Analysis Yousuf, Kashif 2019 Theses StatisticsEconomicsTime-series analysisTime-series analysis--Data processingRegression analysis
30. Essays on Matching and Weighting for Causal Inference in Observational Studies Resa Juárez, María de los Angeles 2017 Theses StatisticsInferenceStatistical matchingProbabilities
31. Estimation and Testing Methods for Monotone Transformation Models Zhang, Junyi 2013 Theses Statistics
32. Event History Analysis in Multivariate Longitudinal Data Yuan, Chaoyu 2021 Theses StatisticsBayesian statistical decision theoryMarkov processesGaussian processesMedical statisticsMyocardial infarctionLongitudinal studies
33. Expansion of a filtration with a stochastic process: a high frequency trading perspective Neufcourt, Léo 2017 Theses StatisticsMathematicsFinance
34. Flexible Sparse Learning of Feature Subspaces Ma, Yuting 2017 Theses Mathematical statisticsMachine learning--Statistical methodsMachine learningStatistics
36. High-dimensional Asymptotics for Phase Retrieval with Structured Sensing Matrices Dudeja, Rishabh 2021 Theses StatisticsGaussian processesMatricesIterative methods (Mathematics)
37. High-dimensional asymptotics: new insights and methods Wang, Shuaiwen 2020 Theses StatisticsLinear models (Statistics)Regression analysis--Asymptotic theoryEstimation theory--Asymptotic theoryStandard deviations
38. Inference in ERGMs and Ising Models. Xu, Yuanzhe 2023 Theses StatisticsRandom graphsIsing modelMarkov processesGaussian Markov random fields
39. Interaction-Based Learning for High-Dimensional Data with Continuous Predictors Huang, Chien-Hsun 2014 Theses Epistasis (Genetics)Instrumental variables (Statistics)Nonparametric statisticsCluster analysisMachine learning--Statistical methodsStatistics