1. Advances in Credit Risk Modeling Neuberg, Richard 2017 Theses Financial riskFinancial risk managementFinance--Statistical methodsFinance--StatisticsCredit--Management--Statistical methodsStatisticsFinance
2. 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
3. Advances in Machine Learning for Complex Structured Functional Data Tang, Chengliang 2022 Theses StatisticsMachine learning--Statistical methodsStatistical functionals
4. Advances in Machine Learning for Compositional Data Gordon Rodriguez, Elliott 2022 Theses StatisticsMachine learning--Statistical methodsGeochemistryBacteriology
5. Advances in Model Selection Techniques with Applications to Statistical Network Analysis and Recommender Systems Franco Saldana, Diego 2016 Theses Linear models (Statistics)ProbabilitiesProportional hazards modelsStatistics
6. Advances in Statistical Machine Learning Methods for Neural Data Science Zhou, Ding 2021 Theses StatisticsNeurosciencesBayesian statistical decision theoryCalcium imaging
7. A Graphon-based Framework for Modeling Large Networks He, Ran 2015 Theses StatisticsAlgorithmsNetwork analysis (Planning)--Mathematical models
8. An Assortment of Unsupervised and Supervised Applications to Large Data Agne, Michael Robert 2015 Theses StatisticsBiometry
9. A Point Process Model for the Dynamics of Limit Order Books Vinkovskaya, Ekaterina 2014 Theses Statistics
10. Application of Distance Covariance to Extremes and Time Series and Inference for Linear Preferential Attachment Networks Wan, Phyllis 2018 Theses StatisticsAnalysis of covarianceTime-series analysis--Mathematical modelsMultivariate analysisSystem analysis
11. Asymptotic Theory and Applications of Random Functions Li, Xiaoou 2016 Theses Monte Carlo methodDifferential equations, PartialDifferential equations, Partial--Asymptotic theoryMathematical statisticsStatistics
12. A unified view of high-dimensional bridge regression Weng, Haolei 2017 Theses StatisticsRegression analysisMathematics
13. Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine Lu, Feihan 2018 Theses StatisticsBayesian statistical decision theoryData structures (Computer science)Neurosciences--Data processingMedicine--Data processing
14. Bayesian Model Selection in terms of Kullback-Leibler discrepancy Zhou, Shouhao 2011 Theses Statistics
15. Blessing of Dependence and Distribution-Freeness in Statistical Hypothesis Testing Deb, Nabarun 2022 Theses StatisticsMathematicsStatistical hypothesis testing
16. Characterization of the Fluctuations in a Symmetric Ensemble of Rank-Based Interacting Particles Garrido Garcia, Miguel Angel 2021 Theses StatisticsMathematicsStochastic processesStochastic differential equations
17. Community Detection in Social Networks: Multilayer Networks and Pairwise Covariates Huang, Sihan 2020 Theses StatisticsMachine learningSocial networksAlgorithms--Evaluation
19. Contributions to Semiparametric Inference to Biased-Sampled and Financial Data Sit, Tony 2012 Theses Statistics
20. Credit Risk Modeling and Analysis Using Copula Method and Changepoint Approach to Survival Data Qian, Bo 2013 Theses Statistics
21. Deep Probabilistic Graphical Modeling Dieng, Adji Bousso 2020 Theses StatisticsComputer scienceGraphical modeling (Statistics)Machine 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
41. 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)
42. Latent Variable Modeling and Statistical Learning Chen, Yunxiao 2016 Theses Educational tests and measurements--Statistical methodsPsychological tests--Statistical methodsLearning, Psychology of--Mathematical modelsLatent variablesStatistics
43. Latent Variable Models for Events on Social Networks Ward, Owen Gerard 2022 Theses StatisticsSocial networksOnline social networksSocial hierarchy in animalsMarkov processesLatent variables
44. Latent Variable Models in Measurement: Theory and Application Fang, Guanhua 2020 Theses StatisticsLatent variablesMathematical modelsPsychometrics--Mathematical modelsEducational tests and measurements
45. Limit theorems beyond sums of I.I.D observations Austern, Morgane 2019 Theses StatisticsMathematicsLimit theorems (Probability theory)Symmetry (Mathematics)Central limit theorem
46. Limit Theory for Spatial Processes, Bootstrap Quantile Variance Estimators, and Efficiency Measures for Markov Chain Monte Carlo Yang, Xuan 2014 Theses Statistics
47. Linear Constraints in Optimal Transport Stebegg, Florian 2019 Theses StatisticsMathematicsMartingales (Mathematics)
48. Martingale Schrodinger Bridges and Optimal Semistatic Portfolios Zhao, Long 2023 Theses StatisticsMathematicsOptions (Finance)--Mathematical modelsStocksInternational finance--Statistics
49. Measuring Spatial Extremal Dependence Cho, Yong Bum 2016 Theses Spatial analysis (Statistics)StatisticsBootstrap (Statistics)Extremal problems (Mathematics)
50. Methods for Personalized and Evidence Based Medicine Shahn, Zach 2016 Theses Evidence-based medicineMedical care--StatisticsPersonalized medicineStatistics
51. Minimax-inspired Semiparametric Estimation and Causal Inference Hirshberg, David Abraham 2018 Theses StatisticsParameter estimationMathematical statistics
53. Modeling Random Events Quintos Lima, Alejandra 2022 Theses Mathematical modelsStatisticsRandom data (Statistics)MicrofinanceMarkets--ForecastingFinancial crises--Mathematical models
54. Modeling Strategies for Large Dimensional Vector Autoregressions Zang, Pengfei 2012 Theses Statistics
55. Modernizing Markov Chains Monte Carlo for Scientific and Bayesian Modeling Margossian, Charles Christopher 2022 Theses StatisticsBayesian statistical decision theoryMarkov processesMonte Carlo method
56. Multiple Causal Inference with Bayesian Factor Models Wang, Yixin 2020 Theses StatisticsInferenceAlgorithms--DesignBayesian statistical decision theory
57. New perspectives in cross-validation Zhou, Wenda 2020 Theses StatisticsStatistics--MethodologyStatistics--Models
58. On Identifying Rare Variants for Complex Human Traits Fan, Ruixue 2015 Theses Regression analysisGenetics--Statistical methodsGenomics--Data processingHuman genetics--VariationStatisticsBioinformatics
59. On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference Wang, Wei 2016 Theses Social sciences--Statistical methods--Data processingStatistics
60. On Recovering the Best Rank-? Approximation from Few Entries Xu, Shun 2022 Theses StatisticsRanking and selection (Statistics)--Data processing
61. On the Construction of Minimax Optimal Nonparametric Tests with Kernel Embedding Methods Li, Tong 2021 Theses StatisticsGaussian processesNonparametric statistics
62. On the Multiway Principal Component Analysis Ouyang, Jialin 2023 Theses StatisticsPrincipal components analysisSingular value decomposition
63. Optimal Inference with a Multidimensional Multiscale Statistic Datta, Pratyay 2023 Theses StatisticsStochastic processesGaussian processesMultiscale modeling
64. 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
65. Partition-based Model Representation Learning Hsu, Yayun 2020 Theses StatisticsInference--Data processingStatistics--MethodologyStatistics--ModelsMachine learning--Statistical methods
66. Phase retrieval in the high-dimensional regime Bakhshizadeh, Milad 2021 Theses StatisticsX-ray crystallographyX-ray diffraction imagingAstronomical photographySpectrum analysis
67. Point Process Models for Heterogeneous Event Time Data Wu, Jing 2019 Theses StatisticsPoint processesSocial structureSocial sciences--Data processingOnline social networks
68. Process Data Applications in Educational Assessment Qi, Jitong 2023 Theses StatisticsEducation--Computer-assisted instructionEducational tests and measurements--Statistical methodsProblem solving
69. Random Walk Models, Preferential Attachment, and Sequential Monte Carlo Methods for Analysis of Network Data Bloem-Reddy, Benjamin Michael 2017 Theses Computer networksMarkov processesInformation networks--Statistical methodsMonte Carlo methodStatistics
70. Scalable Community Detection in Massive Networks using Aggregated Relational Data Jones, Timothy 2019 Theses StatisticsSystem analysisRelational databases
71. Selected Legal Applications for Bayesian Methods Cheng, Edward K. 2018 Theses StatisticsLawBayesian statistical decision theoryLaw--Statistical methods
72. Self-controlled methods for postmarketing drug safety surveillance in large-scale longitudinal data Simpson, Shawn E. 2011 Theses Statistics
73. Semiparametric Estimation of a Gaptime-Associated Hazard Function Teravainen, Timothy 2014 Theses Proportional hazards modelsSurvival analysis (Biometry)Bayesian statistical decision theoryStatisticsElectrical engineering
74. Semiparametric Inference of Censored Data with Time-dependent Covariates Chu, Chi Wing 2021 Theses StatisticsAnalysis of covarianceAIDS (Disease)Clinical trials
75. Semiparametric inference with shape constraints Patra, Rohit Kumar 2016 Theses Regression analysisMathematical statisticsProbabilitiesStatisticsStatistics
76. Signal-to-noise ratio aware minimaxity and its asymptotic expansion Guo, Yilin 2023 Theses StatisticsMaxima and minimaGaussian processes
78. Some Nonparametric Methods for Clinical Trials and High Dimensional Data Wu, Xiaoru 2011 Theses Statistics
79. Some Statistical Models for Prediction Auerbach, Jonathan Lyle 2020 Theses StatisticsPublic policy (Law)Skyscrapers--Design and constructionPresidents--ElectionClimatic changes--Statistical methodsCriminal statisticsTraffic fatalities
80. Spectral Filtering for Spatio-temporal Dynamics and Multivariate Forecasts Meng, Lu 2016 Theses Mathematical statistics--Data processingDynamicsDimension reduction (Statistics)Statistics
81. Statistical Analysis of Complex Data in Survival and Event History Analysis Ling, Hok Kan 2020 Theses StatisticsSurvivalEvent history analysis
82. Statistical approach to tagging stellar birth groups in the Milky Way Ratcliffe, Bridget Lynn 2022 Theses AstronomyStatisticsStars--FormationStars--Age--MeasurementGalaxies--Formation
83. Statistical Inference and Experimental Design for Q-matrix Based Cognitive Diagnosis Models Zhang, Stephanie 2014 Theses StatisticsEducational tests and measurementsPsychometrics
84. Statistical Inference for Diagnostic Classification Models Xu, Gongjun 2013 Theses StatisticsEducational tests and measurements
85. Statistical inference in two non-standard regression problems Seijo, Emilio Francisco 2012 Theses StatisticsMathematics
86. Statistical Learning for Process Data Wang, Zhi 2021 Theses StatisticsComputer-assisted instructionProblem solving
87. Statistical Machine Learning Methods for High-dimensional Neural Population Data Analysis Gao, Yuanjun 2017 Theses StatisticsNeurosciencesDimensional analysis
88. Statistical Machine Learning Methods for the Large Scale Analysis of Neural Data Mena, Gonzalo Esteban 2018 Theses StatisticsMachine learningNeural circuitry--Data processingNeurotechnology (Bioengineering)
89. Statistical methods for indirectly observed network data McCormick, Tyler H. 2011 Theses Statistics
90. 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
91. Statistical Perspectives on Modern Network Embedding Methods Davison, Andrew 2022 Theses StatisticsMachine learning--Statistical methodsMachine learning--Graphic methodsComputer networks
92. Stochastic Differential Equations and Strict Local Martingales Qiu, Lisha 2018 Theses StatisticsMathematicsStochastic differential equationsMartingales (Mathematics)Convergence
93. Time Series Modeling with Shape Constraints Zhang, Jing 2017 Theses StatisticsTime-series analysis--Mathematical models
94. Topics in Computational Bayesian Statistics With Applications to Hierarchical Models in Astronomy and Sociology Sahai, Swupnil 2018 Theses StatisticsAstronomySociologyBayesian statistical decision theoryMultilevel models (Statistics)
95. Toward a scalable Bayesian workflow Yao, Yuling 2021 Theses StatisticsBayesian statistical decision theoryBayesian statistical decision theory--Mathematical models
96. Unbiased Penetrance Estimates with Unknown Ascertainment Strategies Gore, Kristen 2014 Theses Statistics