51. Selected Legal Applications for Bayesian Methods Cheng, Edward K. 2018 Theses StatisticsLawBayesian statistical decision theoryLaw--Statistical methods
52. Statistical Machine Learning Methods for the Large Scale Analysis of Neural Data Mena, Gonzalo Esteban 2018 Theses StatisticsMachine learningNeural circuitry--Data processingNeurotechnology (Bioengineering)
53. Stochastic Differential Equations and Strict Local Martingales Qiu, Lisha 2018 Theses StatisticsMathematicsStochastic differential equationsMartingales (Mathematics)Convergence
54. Topics in Computational Bayesian Statistics With Applications to Hierarchical Models in Astronomy and Sociology Sahai, Swupnil 2018 Theses StatisticsAstronomySociologyBayesian statistical decision theoryMultilevel models (Statistics)
55. 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
56. Essays in High Dimensional Time Series Analysis Yousuf, Kashif 2019 Theses StatisticsEconomicsTime-series analysisTime-series analysis--Data processingRegression analysis
57. Limit theorems beyond sums of I.I.D observations Austern, Morgane 2019 Theses StatisticsMathematicsLimit theorems (Probability theory)Symmetry (Mathematics)Central limit theorem
58. Linear Constraints in Optimal Transport Stebegg, Florian 2019 Theses StatisticsMathematicsMartingales (Mathematics)
59. Point Process Models for Heterogeneous Event Time Data Wu, Jing 2019 Theses StatisticsPoint processesSocial structureSocial sciences--Data processingOnline social networks
60. Scalable Community Detection in Massive Networks using Aggregated Relational Data Jones, Timothy 2019 Theses StatisticsSystem analysisRelational databases
61. Community Detection in Social Networks: Multilayer Networks and Pairwise Covariates Huang, Sihan 2020 Theses StatisticsMachine learningGraphsSocial networksAlgorithms--Evaluation
62. Deep Probabilistic Graphical Modeling Dieng, Adji Bousso 2020 Theses StatisticsComputer scienceGraphical modeling (Statistics)Probabilities--Data processingMachine learning
63. High-dimensional asymptotics: new insights and methods Wang, Shuaiwen 2020 Theses StatisticsLinear models (Statistics)Regression analysis--Asymptotic theoryEstimation theory--Asymptotic theoryStandard deviations
64. Latent Variable Models in Measurement: Theory and Application Fang, Guanhua 2020 Theses StatisticsLatent variablesMathematical modelsPsychometrics--Mathematical modelsEducational tests and measurements
65. Multiple Causal Inference with Bayesian Factor Models Wang, Yixin 2020 Theses StatisticsInferenceAlgorithms--DesignBayesian statistical decision theory
66. New perspectives in cross-validation Zhou, Wenda 2020 Theses StatisticsStatistics--MethodologyStatistics--Models
67. Partition-based Model Representation Learning Hsu, Yayun 2020 Theses StatisticsInference--Data processingStatistics--MethodologyStatistics--ModelsMachine learning--Statistical methods
68. Some Statistical Models for Prediction Auerbach, Jonathan Lyle 2020 Theses StatisticsPublic policy (Law)Skyscrapers--Design and constructionPresidents--ElectionClimatic changes--Statistical methodsCriminal statisticsTraffic fatalities
69. Statistical Analysis of Complex Data in Survival and Event History Analysis Ling, Hok Kan 2020 Theses StatisticsSurvivalEvent history analysis
70. Advances in Statistical Machine Learning Methods for Neural Data Science Zhou, Ding 2021 Theses StatisticsNeurosciencesBayesian statistical decision theoryCalcium imaging
71. Characterization of the Fluctuations in a Symmetric Ensemble of Rank-Based Interacting Particles Garrido Garcia, Miguel Angel 2021 Theses StatisticsMathematicsStochastic processesStochastic differential equations
72. Event History Analysis in Multivariate Longitudinal Data Yuan, Chaoyu 2021 Theses StatisticsBayesian statistical decision theoryMarkov processesGaussian processesMedical statisticsMyocardial infarctionLongitudinal studies
73. High-dimensional Asymptotics for Phase Retrieval with Structured Sensing Matrices Dudeja, Rishabh 2021 Theses StatisticsGaussian processesMatricesIterative methods (Mathematics)
74. On the Construction of Minimax Optimal Nonparametric Tests with Kernel Embedding Methods Li, Tong 2021 Theses StatisticsGaussian processesNonparametric statistics
75. Phase retrieval in the high-dimensional regime Bakhshizadeh, Milad 2021 Theses StatisticsX-ray crystallographyX-ray diffraction imagingAstronomical photographySpectrum analysis
76. Semiparametric Inference of Censored Data with Time-dependent Covariates Chu, Chi Wing 2021 Theses StatisticsAnalysis of covarianceAIDS (Disease)Clinical trials
77. Statistical Learning for Process Data Wang, Zhi 2021 Theses StatisticsComputer-assisted instructionProblem solving
78. Toward a scalable Bayesian workflow Yao, Yuling 2021 Theses StatisticsBayesian statistical decision theoryBayesian statistical decision theory--Mathematical models
79. Advances in Machine Learning for Complex Structured Functional Data Tang, Chengliang 2022 Theses StatisticsMachine learning--Statistical methodsStatistical functionals
80. Advances in Machine Learning for Compositional Data Gordon Rodriguez, Elliott 2022 Theses StatisticsMachine learning--Statistical methodsGeochemistryBacteriology
81. Blessing of Dependence and Distribution-Freeness in Statistical Hypothesis Testing Deb, Nabarun 2022 Theses StatisticsMathematicsStatistical hypothesis testing
82. Latent Variable Models for Events on Social Networks Ward, Owen Gerard 2022 Theses StatisticsSocial networksOnline social networksSocial hierarchy in animalsMarkov processesLatent variables
83. Modeling Random Events Quintos Lima, Alejandra 2022 Theses Mathematical modelsStatisticsRandom data (Statistics)MicrofinanceMarkets--ForecastingFinancial crises--Mathematical models
84. Modernizing Markov Chains Monte Carlo for Scientific and Bayesian Modeling Margossian, Charles Christopher 2022 Theses StatisticsBayesian statistical decision theoryMarkov processesMonte Carlo method
85. On Recovering the Best Rank-? Approximation from Few Entries Xu, Shun 2022 Theses StatisticsRanking and selection (Statistics)--Data processing
86. 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
87. Statistical approach to tagging stellar birth groups in the Milky Way Ratcliffe, Bridget Lynn 2022 Theses AstronomyStatisticsStars--FormationStars--Age--MeasurementGalaxies--Formation
88. Statistical Perspectives on Modern Network Embedding Methods Davison, Andrew 2022 Theses StatisticsMachine learning--Statistical methodsMachine learning--Graphic methodsComputer networks
89. Inference in ERGMs and Ising Models. Xu, Yuanzhe 2023 Theses StatisticsRandom graphsIsing modelMarkov processesGaussian Markov random fields
90. 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)
91. Martingale Schrodinger Bridges and Optimal Semistatic Portfolios Zhao, Long 2023 Theses StatisticsMathematicsOptions (Finance)--Mathematical modelsStocksInternational finance--Statistics
92. On the Multiway Principal Component Analysis Ouyang, Jialin 2023 Theses StatisticsPrincipal components analysisSingular value decomposition
93. Optimal Inference with a Multidimensional Multiscale Statistic Datta, Pratyay 2023 Theses StatisticsStochastic processesGaussian processesMultiscale modeling
94. Process Data Applications in Educational Assessment Qi, Jitong 2023 Theses StatisticsEducation--Computer-assisted instructionEducational tests and measurements--Statistical methodsProblem solving
95. Signal-to-noise ratio aware minimaxity and its asymptotic expansion Guo, Yilin 2023 Theses StatisticsMaxima and minimaGaussian processes
96. 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
97. On Some Problems In Transfer Learning Galbraith, Nicholas R. 2024 Theses StatisticsReinforcement learningTransfer learning (Machine learning)Markov processesClassificationData mining--Statistical methods