PhD Exams
Exam Type | Speaker | Title | Time |
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General | Seth Temple | Statistical inference of recent and strong selective sweeps | |
Final | Anupreet Porwal | Bayesian methods for variable selection |
Exam Type | Speaker | Title | Time |
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Final | Alan Min | Statistical methods for genomic sequencing data |
Exam Type | Speaker | Title | Time |
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General | Sarah Teichman | Statistical methods for microbial gene analyses |
Exam Type | Speaker | Title | Time |
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Final | Interpretation and Validation for Unsupervised Learning |
Exam Type | Speaker | Title | Time |
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General | Nicholas Irons | Statistical estimation and decision-making for the COVID-19 pandemic |
Exam Type | Speaker | Title | Time |
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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 |
Exam Type | Speaker | Title | Time |
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Final | Lang Liu | Statistical Divergences for Learning and Inference: A Non-Asymptotic Viewpoint |
Exam Type | Speaker | Title | Time |
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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 |