1. A Bayesian Approach to the Understanding of Exoplanet Populations and the Origin of Life Chen, Jingjing 2018 Theses AstronomyExtrasolar planetsLife--OriginStatisticsBayesian statistical decision theory
2. Abstractions for Probabilistic Programming to Support Model Development Bernstein, Ryan 2023 Theses Computer scienceStatisticsArtificial intelligenceProbabilities--Mathematical modelsComputer simulation
3. Accurate and Sensitive Quantification of Protein-DNA Binding Affinity Rastogi, Chaitanya 2017 Theses GeneticsBiophysicsStatisticsDNA-protein interactionsTranscription factors
4. A Cognitively Diagnostic Modeling Approach to Diagnosing Misconceptions and Subskills Elbulok, Musa 2021 Theses StatisticsMultiple-choice examinationsBayesian statistical decision theory
5. A Computational Perspective of Causal Inference and the Data Fusion Problem Correa, Juan David 2021 Theses Artificial intelligenceComputer scienceStochastic control theory--Statistical methodsStatisticsMachine learning
6. Advances in Credit Risk Modeling Neuberg, Richard 2017 Theses Financial riskFinancial risk managementFinance--Statistical methodsFinance--StatisticsCredit--Management--Statistical methodsStatisticsFinance
7. 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
8. Advances in Machine Learning for Complex Structured Functional Data Tang, Chengliang 2022 Theses StatisticsMachine learning--Statistical methodsStatistical functionals
9. Advances in Machine Learning for Compositional Data Gordon Rodriguez, Elliott 2022 Theses StatisticsMachine learning--Statistical methodsGeochemistryBacteriology
10. 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
11. Advances in Non-Stationary Sequential Decision-Making Suk, Joseph 2024 Theses StatisticsDecision makingReinforcement learningSmoothing (Statistics)
12. Advances in Statistical Machine Learning Methods for Neural Data Science Zhou, Ding 2021 Theses StatisticsNeurosciencesBayesian statistical decision theoryCalcium imaging
13. A Geometric Approach to Dynamical System: Global Analysis for Non-Convex Optimization Xu, Ji 2020 Theses Computer scienceStatisticsMathematicsAlgorithms--EvaluationComputer algorithms
14. A Graphon-based Framework for Modeling Large Networks He, Ran 2015 Theses StatisticsAlgorithmsNetwork analysis (Planning)--Mathematical models
15. A Hypothesis Testing Procedure Designed for Q-Matrix Validation of Diagnostic Classification Models Sachdeva, Ruchi Jain 2018 Theses Educational tests and measurementsStatisticsDiagnosis--Mathematical modelsClassificationChild development
16. Analyzing Hierarchical Data with the DINA-HC Approach Zhang, Jianzhou 2015 Theses Educational tests and measurementsStatistics
17. An Assortment of Unsupervised and Supervised Applications to Large Data Agne, Michael Robert 2015 Theses StatisticsBiometry
18. An Item Response Theory Approach to Causal Inference in the Presence of a Pre-intervention Assessment Marini, Jessica 2013 Theses Educational tests and measurementsStatistics
19. A Point Process Model for the Dynamics of Limit Order Books Vinkovskaya, Ekaterina 2014 Theses Statistics
20. 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