Students from the Statistics and Biostatistics graduate programs will present their research. All are welcome to attend. Light refreshments will be provided.
Shreyan Ganguly, Estimation of Locally Stationary Processes and its Application to Climate Modeling
Jiae Kim, The Geometry of Nonlinear Embeddings in Discriminant Analysis with Gaussian Kernel
Deborah Kunkel, A Bayesian Race Model for Response Times Under Cyclic Stimulus Discriminability
James Matuk, Functional Principal Component Analysis of Phase and Amplitude Variability
Giovanni Nattino, Triplet Matching for Estimating Causal Effects with Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level
Qian Qian, On the connections between algorithmic regularization and penalization for GLM’s
Abhijoy Saha, A Geometric Variational Approach to Bayesian Inference
Justin Strait, Bayesian Models for Automatic Landmark Detection on Elastic Curves
Yihan Sui, Approaches for Analyzing Time to Event Data When a Lag is Expected in Treatment Effect
Shanshan Tu, Cross validation for penalized M-estimation with a case-weight adjusted solution path
Matthew Wascher, A Phase Transition for the Contact Process with Avoidance on ℤ and ℤ mod n
Wenna Xi, Bayesian Non-negative Matrix Factorization for Analyzing Co-location Networks
Xiaofei Zhou, Bayesian Lasso for Detecting Associations Combining Family and Case-Control Data
Min Ho Cho, Yuan Gao, Chenggong Han, Shuyuan Lou, Hancong Tang, An Evaluation of Statistical Methods for Detecting Differential Methylation