Poster Session | Wednesday, June 6
9th International Purdue Symposium on Statistics and Celebration of the 50th Anniversary of the Department of Statistics
Data Revolution: Opportunities and Challenges for Statistics
Poster Session - June 6, 5:15-6:30 p.m.
Stewart Center (STEW) 218
- Optimal global tests under covariate dependence
Donglai Chen, Purdue University - Model Fit Tests in Linear Models
Daniel Wang, Central Michigan University - Helping the Red Cross Predict Flooding in Togo
Angelica Estrada, Smith College - Lagrange Optimizations on Search Bidding
Krishnan Raman, Purdue University - Data mining and design thinking in breeding programs
Tingting Guo, Iowa State University - An Iterative, Sketching-based Framework for Ridge Regression
Agniva Chowdhury, Purdue University - Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy
Jiasen Yang, Purdue University - Nonlinear feature selection via Deep Neural Network
Yao Chen, Purdue University - High Dimensional Inference via Adaptive Bayes and Deep Learning
Yixuan Qiu, Purdue University - Prediction Crop Yields using Public Data
Tyler Netherly, Purdue University - Hydrological Impact-based Unified Atmospheric River Index over the Contiguous US
Chen Zhang, Purdue University - Topological features in submanifolds: dimension reduction
Hengrui Luo, Ohio State University - Characterization of Periodicity in Subtraction Games
Nicole Brewer, Purdue University - Modeling baseball players’ compositional performance via the logistic-normal distribution
Eric Gerber, Purdue University - Dismembering the Multi-Armed Bandit
Timothy Keaton, Purdue University