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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

 

1:  Optimal global tests under covariate dependence

Donglai Chen, Purdue University

                       

2:  Model Fit Tests in Linear Models

Daniel Wang, Central Michigan University

                       

3:  Helping the Red Cross Predict Flooding in Togo

Angelica Estrada, Smith College

 

4:  Lagrange Optimizations on Search Bidding

            Krishnan Raman, Purdue University

 

5:  Data mining and design thinking in breeding programs

Tingting Guo, Iowa State University

 

6:  An Iterative, Sketching-based Framework for Ridge Regression

Agniva Chowdhury, Purdue University

 

7:  Goodness-of-fit Testing for Discrete Distributions via Stein Discrepancy

Jiasen Yang, Purdue University

 

8:  Nonlinear feature selection via Deep Neural Network

Yao Chen, Purdue University

 

9:  High Dimensional Inference via Adaptive Bayes and Deep Learning

Yixuan Qiu, Purdue University

 

10: Prediction Crop Yields using Public Data

            Tyler Netherly, Purdue University

 

11:  Hydrological Impact-based Unified Atmospheric River Index over the Contiguous US

            Chen Zhang, Purdue University

 

12:  Topological features in submanifolds: dimension reduction

            Hengrui Luo, Ohio State University

 

13:  Characterization of Periodicity in Subtraction Games

            Nicole Brewer, Purdue University
           

14:  Modeling baseball players’ compositional performance via the logistic-normal distribution

            Eric Gerber, Purdue University

 

15:  Dismembering the Multi-Armed Bandit
           
Timothy Keaton, Purdue University

 

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