Students from the Statistics and Biostatistics graduate programs will present their research.
David Angeles, Bayesian Frailty Models for Eye Tracking Experiments
Xiaohan Guo, Spatial Joint Alignment of Multi-trial EEG and Clustering of Brain Regions
Yiyang Lin, Geometric Ergodicity for Hybrid Samplers in Functional Estimation
James Matuk, Bayesian Framework for Simultaneous Registration and Estimation of Noisy, Sparse and Fragmented Functional Data
Andrew Richards, Lily-Q: (Li)kelihood-based assemb(ly) of (Q)uartets Under the Multispecies Coalescent Model
Prateek Sasan, SVPS: A convex framework for Sparse, Low-rank matrix approximation
Harley Vossler, Using Dynamic Survival Analysis Methods to Model the 2018-2020 Ebola Epidemic in the DRC
Qing Xie, Single Cell Hi-C Matrix Imputation
