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PhD Exams

December 2022
Exam Type Speaker Title Time
General Nicholas Irons Statistical estimation and decision-making for the COVID-19 pandemic
November 2022
Exam Type Speaker Title Time
Final Aaron J Baraff Likelihood-based haplotype frequency modeling using variable-order Markov chains
General Zhaoqi Li Estimation and inference of optimal policies
General Steven Wilkins-Reeves Learning in Latent Variable Models
General Jerry Wei Graphs for Statistical Learning and Modeling
September 2022
Exam Type Speaker Title Time
Final Lang Liu Statistical Divergences for Learning and Inference: A Non-Asymptotic Viewpoint
August 2022
Exam Type Speaker Title Time
Final Gang Cheng Missing Data Methods for Observational Health Dataset
Final Kunhui Zhang Statistical Methods for Clustering and High Dimensional Time Series Analysis
Final Wenyu Chen Causal Structure Learning in High Dimensions
July 2022
Exam Type Speaker Title Time
Final Aaron Osgood-Zimmerman Spatio-Temporal Models, Inference and Computing for Public Health Applications
May 2022
Exam Type Speaker Title Time
General Zhen Miao Mixture models to fit heavy-tailed, heterogeneous or sparse data
General Anupreet Porwal Objective Bayesian methods for variable selection
General Peter Gao Areal models for estimation of subnational health and demographic indicators
April 2022
Exam Type Speaker Title Time
General Alan Min Statistical methods for genomic sequencing data
General Michael Pearce Statistical methods for preference learning
March 2022
Exam Type Speaker Title Time
General Nathan G Welch Probabilistic Forecasts of International Bilateral Migration Flows
February 2022
Exam Type Speaker Title Time
General Anna Neufeld Testing data-driven hypotheses
General Daphne Liu Statistical Methods for Estimating and Projecting the Effect of Policy Interventions on Demographic Outcomes
December 2021
Exam Type Speaker Title Time
Final Max Schneider Improving Uncertainty Quantification and Visualization for Spatiotemporal Earthquake Rate Models for the Pacific Northwest
Final Samson Jonathan Koelle Geometric algorithms for interpretable manifold learning