PhD Exams
Exam Type | Speaker | Title | Time |
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General | Stochastic Learning under Distribution Shift |
Exam Type | Speaker | Title | Time |
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Final | Nicholas Irons | Statistical estimation and decision-making for the COVID-19 pandemic | |
Final | Seth Temple | Statistical Inference Using Identity-by-Descent Segments |
Exam Type | Speaker | Title | Time |
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Final | Steven Wilkins-Reeves | Statistical Inference with Missing and Latent Data: Methods for Data Harmonization, Network Curvature Estimation and Experimentation Under Interference |
Exam Type | Speaker | Title | Time |
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Final | Apara Venkat | Identification and Estimation Algorithms for Pathogen, Ancestral, and Rashomon Analysis | |
General | Haoyang Wu | Density estimation for the spatiotemporal human mobility | |
General | Kenny Zhang | New Insights into Individual Treatment Effects and Komogorov's Problem |
Exam Type | Speaker | Title | Time |
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Final | Zhaoqi Li | Estimation and Inference of Optimal Policies | |
General | Trinity Shuxian Fan | Survey-Based Tools for Enhanced Assessment of Cause of Death | |
Final | Jerry Wei | Statistical Learning and Modeling with Graphs and Networks | |
General | Zhenman Yuan | Mediation Effect Analysis and Hypothesis Testings |
Exam Type | Speaker | Title | Time |
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General | Sara Laplante | Conditional Causal Effect Identification in MPDAGs |
Exam Type | Speaker | Title | Time |
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General | Alex Ziyu Jiang | Bayesian nonparametric methods for Complex Data |
Exam Type | Speaker | Title | Time |
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General | Jess Kunke | Using networks to address sampling bias in social and environmental population size estimation |
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 |