ABSTRACTS OF TALKS (*) AND POSTERS (**)
- Kylie Ainsle, Emory University
Maximum likelihood estimation of influenza vaccine effectiveness against transmission from the household and from the community **
- Andrew Brown, Clemson University
A Bayesian Generalized CAR Model for Correlated Signal Detection *
- Yao-Hsuan Chen, CDC
Assess model calibration uncertainty using optimization and meta-regression models *
- Yunxiao Chen, Emory University
A Fused Latent and Graphical Model for Multivariate Binary Data *
- Teng Fei, Emory University
A Review Study on the Type I Error of the NRI Test **
- Joshua Gomberg, Georgia Institute of Technology
Extracting Knowledge from Molecular Mechanics Simulations of Grain Boundaries Using Machine Learning **
- Mohamad S. Hasan, University of Georgia
Optimal P-value Weighting for High Throughput Data given External Information **
- Ruth Hummel, JMP SAS
Text Mining with JMP 13 *
- Xiaoming Huo, Georgia Tech
A Distributed Estimator with Statistical Guarantee and Numerical Efficiency *
- Seonghye Jeon, IBM Global Business Service
Bridging the Gap: From Academic Training to Real World Analytics *
- Ali Jinnah, Georgia State University
Application of EL method on bivariate MRL estimator and profiled nuisance parameter **
- Iain Johnstone, Standord University
Low rank structure in highly multivariate models *
- Suprateek Kundu, Emory University
Scalable Bayesian Variable Selection for Structured Ultra High dimensional Data *
- Ben Li, Emory University
Base-resolution methylation patterns accurately predict transcription factor bindings in vivo **
- Daniel Linder, Augusta University
Parameter Inference in Biochemical Reaction Networks *
- Kun Liu, Georgia Institute of Technology
The Effect of Network Connectivity in Distributed Quickest Detection **
- Simon Mak, Georgia Institute of Technology
Support points – A new way to compact distributions **
- Cheng Meng, University of Georgia
Joint Analysis of Imaging Genetics via Binary Matrix Factorization **
- Xuelei (Sherry) Ni, Kennesaw State University
Kernel Fusion-Refinement for Semi-supervised Nonlinear Dimension Reduction *
- Subhadip Pal, Emory University
Distributional ICA: A New Approach for Modeling Neuroimaging Data **
- Kamran Paynabar, Georgia Institute of Technology
High Dimensional Streaming Data Analysis for Process Monitoring and Defect Detection *
- Gengsheng Qin, Georgia State University
Empirical Likelihood-based Confidence Intervals for Mean Medical Cost With Censored Data *
- T. N. Sriram, University of Georgia
Dimension Reduction in Time Series *
- Xiaoxiao Sun, University of Georgia
Optimal Penalized Function-on-Function Regression under a Reproducing Kernel Hilbert Space Framework **
- Mohammadhossein Toutiaee, University of Georgia
Module-Wise Feature Detection in High Dimensional Space **
- Lance Waller, Emory University
Exploring the Impact of American Community Survey Demographics on Small-Area Health Studies *
- Yikai Wang, Emory University
An Efficient and Reliable Statistical Method for Estimating Functional Connectivity in Large Scale Brain Networks Using Partial Correlation **
- Yao Xie, Georgia Institute of Technology
Sequential Low-rank Change Detection *
- Huan Xu, Georgia Institute of Technology
Outlier Pursuit: Robust PCA and Collaborative Filtering *
- Huan Yan, Wells Fargo
Wells Fargo Quantitative Associate Program *
- Parisa Yousefi Zowj, Georgia Institute of Technology
Bayesian Binary Regressions in Wavelet-based Function Estimation **
- Ruizhi Zhang, Georgia Institute of Technology
Efficient, Robust and Scalable Schemes for Monitoring Large-Scale Data Streams **
- Yichuan Zhao, Georgia State University
A Nonparametric Approach for Partial Areas Under ROC Curves *
- Yuchen Zheng, Georgia Institute of Technology
Distributed Optimization under Spatial Coupling **
Key: * = Talk, ** = Poster.