1. On Some Problems In Transfer Learning Galbraith, Nicholas R. 2024 Theses StatisticsReinforcement learningTransfer learning (Machine learning)Markov processesClassificationData mining--Statistical methods
2. Inference in ERGMs and Ising Models. Xu, Yuanzhe 2023 Theses StatisticsRandom graphsIsing modelMarkov processesGaussian Markov random fields
3. Latent Variable Models for Events on Social Networks Ward, Owen Gerard 2022 Theses StatisticsSocial networksOnline social networksSocial hierarchy in animalsMarkov processesLatent variables
4. Modernizing Markov Chains Monte Carlo for Scientific and Bayesian Modeling Margossian, Charles Christopher 2022 Theses StatisticsBayesian statistical decision theoryMarkov processesMonte Carlo method
5. Event History Analysis in Multivariate Longitudinal Data Yuan, Chaoyu 2021 Theses StatisticsBayesian statistical decision theoryMarkov processesGaussian processesMedical statisticsMyocardial infarctionLongitudinal studies
6. 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