1. Identifying and Targeting Master Regulators of Drug Resistance in Lung Adenocarcinoma through Network Analysis of Tumor Transcriptomic Data Griffin, Aaron Timothy 2023 Theses BioinformaticsBiology--ClassificationStatisticsBiochemical markersLungs--CancerAdenocarcinomaDrug resistance in cancer cellsMachine learning--Industrial applicationsAmerican Society of Clinical OncologyMemorial Sloan-Kettering Cancer Center
2. Inference in ERGMs and Ising Models. Xu, Yuanzhe 2023 Theses StatisticsRandom graphsIsing modelMarkov processesGaussian Markov random fields
3. Toward Annotation Efficiency in Biased Learning Settings for Natural Language Processing Effland, Thomas 2023 Theses Computer scienceStatisticsNatural language processing (Computer science)Artificial intelligenceGrammar, Comparative and general--Syntax
4. Advances in Machine Learning for Complex Structured Functional Data Tang, Chengliang 2022 Theses StatisticsMachine learning--Statistical methodsStatistical functionals
5. Advances in Machine Learning for Compositional Data Gordon Rodriguez, Elliott 2022 Theses StatisticsMachine learning--Statistical methodsGeochemistryBacteriology
6. Blessing of Dependence and Distribution-Freeness in Statistical Hypothesis Testing Deb, Nabarun 2022 Theses StatisticsMathematicsStatistical hypothesis testing
7. Latent Variable Models for Events on Social Networks Ward, Owen Gerard 2022 Theses StatisticsSocial networksOnline social networksSocial hierarchy in animalsMarkov processesLatent variables
8. Learning predictive models from menstrual cycle data Li, Kathy Yinuo 2022 Theses MathematicsMedical sciencesStatisticsMenstruationMenstrual cycleWireless communication systems in medical care
9. Modeling Random Events Quintos Lima, Alejandra 2022 Theses Mathematical modelsStatisticsRandom data (Statistics)MicrofinanceMarkets--ForecastingFinancial crises--Mathematical models
10. Modernizing Markov Chains Monte Carlo for Scientific and Bayesian Modeling Margossian, Charles Christopher 2022 Theses StatisticsBayesian statistical decision theoryMarkov processesMonte Carlo method
11. On Recovering the Best Rank-? Approximation from Few Entries Xu, Shun 2022 Theses StatisticsRanking and selection (Statistics)--Data processing
12. 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
13. Privacy-Aware Data Analysis: Recent Developments for Statistics and Machine Learning Lut, Yuliia 2022 Theses StatisticsMachine learningPrivacyData protectionInternet searching
14. Statistical approach to tagging stellar birth groups in the Milky Way Ratcliffe, Bridget Lynn 2022 Theses AstronomyStatisticsStars--FormationStars--Age--MeasurementGalaxies--Formation
15. Statistical Perspectives on Modern Network Embedding Methods Davison, Andrew 2022 Theses StatisticsMachine learning--Statistical methodsMachine learning--Graphic methodsComputer networks
16. A Cognitively Diagnostic Modeling Approach to Diagnosing Misconceptions and Subskills Elbulok, Musa 2021 Theses StatisticsMultiple-choice examinationsBayesian statistical decision theory
17. A Computational Perspective of Causal Inference and the Data Fusion Problem Correa, Juan David 2021 Theses Artificial intelligenceComputer scienceStochastic control theory--Statistical methodsStatisticsMachine learning
18. Advances in Statistical Machine Learning Methods for Neural Data Science Zhou, Ding 2021 Theses StatisticsNeurosciencesBayesian statistical decision theoryCalcium imaging
19. Beyond summary statistics: extracting etiological insights from genome-wide association cohorts Yuan, Jie 2021 Theses Computer scienceGeneticsStatisticsSchizophreniaHuman genome--ResearchSchizophrenia--Etiology
20. Causal Mediation Analysis for Effect Heterogeneity Zhang, Jiaqing 2021 Theses StatisticsBiometryMediation (Statistics)Public health