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. Martingale Schrodinger Bridges and Optimal Semistatic Portfolios Zhao, Long 2023 Theses StatisticsMathematicsOptions (Finance)--Mathematical modelsStocksInternational finance--Statistics
4. 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
5. Advances in Machine Learning for Complex Structured Functional Data Tang, Chengliang 2022 Theses StatisticsMachine learning--Statistical methodsStatistical functionals
6. Advances in Machine Learning for Compositional Data Gordon Rodriguez, Elliott 2022 Theses StatisticsMachine learning--Statistical methodsGeochemistryBacteriology
7. Blessing of Dependence and Distribution-Freeness in Statistical Hypothesis Testing Deb, Nabarun 2022 Theses StatisticsMathematicsStatistical hypothesis testing
8. Latent Variable Models for Events on Social Networks Ward, Owen Gerard 2022 Theses StatisticsSocial networksOnline social networksSocial hierarchy in animalsMarkov processesLatent variables
9. Learning predictive models from menstrual cycle data Li, Kathy Yinuo 2022 Theses MathematicsMedical sciencesStatisticsMenstruationMenstrual cycleWireless communication systems in medical care
10. Modeling Random Events Quintos Lima, Alejandra 2022 Theses Mathematical modelsStatisticsRandom data (Statistics)MicrofinanceMarkets--ForecastingFinancial crises--Mathematical models