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1. Advances in Machine Learning for Compositional Data

Gordon Rodriguez, Elliott
2022
Theses
StatisticsMachine learning--Statistical methodsGeochemistryBacteriology

2. Learning predictive models from menstrual cycle data

Li, Kathy Yinuo
2022
Theses
MathematicsMedical sciencesStatisticsMenstruationMenstrual cycleWireless communication systems in medical care

3. Modernizing Markov Chains Monte Carlo for Scientific and Bayesian Modeling

Margossian, Charles Christopher
2022
Theses
StatisticsBayesian statistical decision theoryMarkov processesMonte Carlo method

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 Statistical Machine Learning Methods for Neural Data Science

Zhou, Ding
2021
Theses
StatisticsNeurosciencesBayesian statistical decision theoryCalcium imaging

7. Beyond summary statistics: extracting etiological insights from genome-wide association cohorts

Yuan, Jie
2021
Theses
Computer scienceGeneticsStatisticsSchizophreniaHuman genome--ResearchSchizophrenia--Etiology

8. Causal Mediation Analysis for Effect Heterogeneity

Zhang, Jiaqing
2021
Theses
StatisticsBiometryMediation (Statistics)Public health

9. Characterization of the Fluctuations in a Symmetric Ensemble of Rank-Based Interacting Particles

Garrido Garcia, Miguel Angel
2021
Theses
StatisticsMathematicsStochastic processesStochastic differential equations

10. Deconvolution Problems for Structured Sparse Signal

Kuo, Han-wen
2021
Theses
Electrical engineeringComputer scienceStatisticsAlgorithms